IEEE ICDM 2009 Calls for Papers

Overview

The IEEE International Conference on Data Mining (ICDM) has established itself as the world's premier research conference in data mining. The 2009 edition of ICDM provides a leading forum for presentation of original research results, as well as exchange and dissemination of innovative, practical development experiences. The conference covers all aspects of data mining, including algorithms, software and systems, and applications. In addition, ICDM draws researchers and application developers from a wide range of data mining related areas such as statistics, machine learning, pattern recognition, databases and data warehousing, data visualization, knowledge-based systems, and high performance computing. By promoting novel, high quality research findings, and innovative solutions to challenging data mining problems, the conference seeks to continuously advance the state-of-the-art in data mining. Besides the technical program, the conference will feature workshops, tutorials, panels, and the ICDM data mining contest.

Topic of Interest

Data mining foundations

• Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, pattern discovery, and association analysis)
• Models and algorithms for new, structured, data types, such as arising in chemistry, biology, environment, and other scientific domains
• Developing a unifying theory of data mining
• Mining sequences and sequential data
• Mining spatial and temporal datasets
• Mining textual and unstructured datasets
• Distributed data mining
• High performance implementations of data mining algorithms
• Privacy and anonymity-preserving data analysis

Mining in emerging domains

• Stream Data Mining
• Mining moving object data, RFID data, and data from sensor networks
• Ubiquitous knowledge discovery
• Mining multi-agent data
• Mining and link analysis in networked settings: web, social and computer networks, and online communities
• Mining the semantic web
• Data mining in electronic commerce, such as recommendation, sponsored web search, advertising, and marketing tasks

Methodological aspects and the KDD process

• Data pre-processing, data reduction, feature selection, and feature transformation
• Quality assessment, interestingness analysis, and post-processing
• Statistical foundations for robust and scalable data mining
• Handling imbalanced data
• Automating the mining process and other process related issues
• Dealing with cost sensitive data and loss models
• Human-machine interaction and visual data mining
• Integration of data warehousing, OLAP and data mining
• Data mining query languages
• Security and data integrity

Integrated KDD applications, systems, and experiences

• Bioinformatics, computational chemistry, ecoinformatics
• Computational finance, online trading, and analysis of markets
• Intrusion detection, fraud prevention, and surveillance
• Healthcare, epidemic modeling, and clinical research
• Customer relationship management
• Telecommunications, network and systems management
• Sustainable mobility and intelligent transportation systems

Important Dates

• April 13,2009:Workshop proposals
• June 26,2009:Paper submission
• June 26,2009:Panel proposal
• June 26,2009:Tutorial submission
• Sept 4,2009:Notification to authors
• Sept 28,2009:Camera-ready copies
• Dec 6-9,2009: Conference

SPIRE 2009 Calls for Paper

Introduction
SPIRE 2009 is 16th edition of the Symposium on String Processing and Information Retrieval. The event has been held under this title annually since 1998. The four first events concentrated mainly on string processing (SP) and were held in South America under the title South American Workshop on String Processing (WSP) in 1993, 1995, 1996, and 1997. WSP was transformed into SPIRE in 1998 when the scope of the event was broadened to include also information retrieval (IR). The change was motivated by the increasing relevance of information retrieval and its close inter-relationship with the general area of string processing. From 1999 to 2007, the venue of SPIRE was alternating between South and Latin America (odd years) and Europe (even years). This pattern was broken when SPIRE 2008 was held in Australia.

Topics
The scope of the SPIRE series of conferences includes not only fundamental algorithms in SP and IR but also contributions in different application areas such as computational biology, DNA sequencing, WWW based IR systems, and IR related languages like SGML and XML. Given its inter-disciplinary nature, SPIRE offers a singular opportunity for researchers from computer science, information science, and engineering interested in working with problems related to these areas to meet and discuss how to collaborate towards the best solutions.
Typical topics of interest include (but are not limited to):
String Processing: Dictionary algorithms, Text searching, Pattern matching, Text and sequence compression, Automata based string processing.
Information Retrieval: Information retrieval models, Indexing, Ranking and filtering, Interface design, Visualization, Benchmarking.
Natural language processing:Text analysis, Text mining, Machine learning, Information extraction, Language models (both structural and semantic), Knowledge representation.
Search applications and usage: Cross-lingual information access systems, Multimedia information access, Digital libraries, Collaborative retrieval and Web related applications, Semi-structured data retrieval, Evaluation.
Interaction of biology and computation: DNA sequencing and applications in molecular biology, Evolution and phylogenetics, Recognition of genes and regulatory elements, Sequence driven protein structure prediction.

Important dates
Paper submission deadline: 1 May 2009 (International Date Line West, corresponds to 2 May 2009 12:00 UTC/GMT)
Author notification: 5 June 2009
Camera ready paper: 15 June 2009

Computer Conference Ranking on Databases/Knowledge and Data Management/Data Security/Web/Mining

This is the only list maintained and updated regularly. It focuses on Databases/Knowledge and Data Management/Data Security/Web/Mining
Conferences listed below are considered to be tier 1 research meetings in their respective fields.

Top 88 conferences are listed (636 considered):

SIGMOD: ACM SIGMOD Conf on Management of Data (0.99)
VLDB: Very Large Data Bases (0.99)
KDD: Knowledge Discovery and Data Mining (0.99)
ICDE: Intl Conf on Data Engineering (0.98)
ICDT: Intl Conf on Database Theory (0.97)
S&P: IEEE Symposium on Security and Privacy (0.97)
SIGIR: ACM SIGIR Conf on Information Retrieval (0.96)
PODS: ACM SIGMOD Conf on Principles of DB Systems (0.95)
WWW: World-Wide Web Conference (0.92)
FODO: Intl Conf on Foundation on Data Organization (0.91)
ER: Intl Conf on Conceptual Modeling � ER (0.90)
CIKM: Intl. Conf on Information and Knowledge Management (0.90)
KR: Intl Conference on Principles of Knowledge Representation and Reasoning (0.90)
DOOD: Deductive and Object-Oriented Databases (0.89)
DEXA: Database and Expert System Applications (0.88)
SSDBM: Intl Conf on Scientific and Statistical DB Mgmt (0.88)
COMAD: Intl Conf on Management of Data (0.88)
EDBT: Extending DB Technology (0.88)
ICDM: IEEE International Conference on Data Mining (0.87)
VDB: Visual Database Systems (0.87)
SSD: Intl Symp on Large Spatial Databases (0.85)
CoopIS: Conference on Cooperative Information Systems (0.85)
SAM: Intl Conference on Security and Management (0.85)
IFIP-DS: IFIP-DS Conference (0.85)
DaWaK: Data Warehousing and Knowledge Discovery (0.85)
ADTI: Intl Symp on Advanced DB Technologies and Integration (0.83)
PAKDDM: Practical App of Knowledge Discovery and Data Mining (0.82)
NGDB: Intl Symp on Next Generation DB Systems and Apps (0.81)
MDM: Int. Conf. on Mobile Data Access/Management - MDA/MDM (0.80)
ARTDB: Active and Real-Time Database Systems (0.80)
CODAS: Intl Symp on Cooperative DB Systems for Adv Apps (0.80)
IFIP-DBSEC: IFIP Workshop on Database Security (0.80)
EFIS/EFDBS: Engineering Federated Information (Database) Systems (0.80)
IDEAS: International Database Engineering and Application Symposium (0.80)
USITS: USENIX Symposium on Internet Technologies and Systems (0.80)
IKE: Intl Conference on Information and Knowledge Engineering (0.80)
KRDB: Knowledge Representation Meets Databases (0.79)
ADBIS: Symposium on Advances in DB and Information Systems (0.79)
DMIN: Intl Conference on Data Mining (0.79)
DBPL: Workshop on Database Programming Languages (0.79)
ICOMP: (or IC in DBLP) International Conference on Internet Computing (0.79)
NLDB: Applications of Natural Language to Data Bases (0.79)
FQAS: Flexible Query-Answering Systems (0.79)
DASFAA: Database Systems for Advanced Applications (0.79)
IDC(W): International Database Conference - HK CS (0.79)
NRDM: Workshop on Network-Related Data Management (0.78)
RTDB: Workshop on Real-Time Databases (0.78)
BNCOD: British National Conference on Databases (0.77)
WebDB: International Workshop on the Web and Databases (0.77)
MEWS: Mining for Enhanced Web Search (0.77)
DASWIS: Data Semantics in Web Information Systems (0.77)
DMDW: Design and Management of Data Warehouses (0.76)
NDB: National Database Conference - China (0.76)
OODBS: Workshop on Object-Oriented Database Systems (0.76)
ADC: Australasian Database Conference (0.75)
USENIX Security: USENIX Security Symposium (0.75)
PDIS: Parallel and Distributed Information Systems (0.75)
WCW: Web Caching Workshop (0.75)
ISWC: International Semantic Web Conference (0.75)
DOLAP: International Workshop on Data Warehousing and OLAP (0.75)
WECWIS: Workshop on Advanced Issues of E-Comm. & Web Based Info. Sys. (0.75)
KDEX: Knowledge and Data Engineering Exchange Workshop (0.74)
MobiDE: Workshop on Data Engineering for Wireless and Mobile Access (0.74)
MDDS: Mobility in Databases and Distributed Systems (0.74)
SWWS: Semantic Web and Web Services (0.73)
TAKMA: Theory and Applications of Knowledge Management (0.73)
WIDM: International Workshop on Web Information and Data Management (0.70)
DMKD: Workshop on Research Issues in Data Mining and Knowledge Discovery (0.69)
WAIM: International Conference on Web Age Information Management (0.69)
CDB: Constraint Databases and Applications (0.69)
SPIRE: String Processing and Information Retrieval (0.69)
DTVE: Workshop on Database Technology for Virtual Enterprises (0.69)
IWDOM: International Workshop on Distributed Object Management (0.69)
ADMA: Advanced Data Mining and Applications (0.65)
PAKDD: Pacific-Asia Conf on Know. Discovery and Data Mining (0.64)
W4A: Workshop on Web Accessibility (0.63)
DATESO: Databases, Texts, Specifications, Objects (0.62)
K-CAP: International Conference on Knowledge Capture (0.62)
PKDD: Principles of Data Mining and Knowledge Discovery (0.62)
KDDMBD: Knowledge Discovery & Data Mining in Biological Databases (0.61)
KES: Int抣 Conf. on Knowledge-Based Intelligent Info. & Eng. Systems (0.61)
DBA: Databases and Applications (0.60)
ICDIM: International Conference on Digital Information Management (0.59)
DNIS: Databases in Networked Information Systems (0.59)
PAKM: Practical Aspects of Knowledge Management (0.57)
KDID: International Workshop on Knowledge Discovery in Inductive Databases (0.55)
SCN: International Conference on Security in Communication Networks (0.54)
SDM: SIAM Intl Conference on Data Mining (0.51)

A Thorough Tutorial on Hadoop

This is a thorough review by Yahoo!, and it covers Hadoop setup, HDFS, and MapReduce: Tutorial Online.

Paper Submission Deadline for Some Known Data Miing Related Conference

Conference	Tier*	Abstract Deadline	Full Paper Deadline	Notification
WI'09	B		Apr. 10, 2009	June 3, 2009
PKDD'09	A	Apr. 3, 2009	Apr. 14, 2009	June 5, 2009
ADMA'09			Apr. 13, 2009	May 25, 2009
CIKM'09	A	June 1, 2009	June 8, 2009	July 22. 2009
AusAI'09	B		June 16, 2009	Aug. 18, 2009
ICDE'10	A+	June 10, 2009	June 17, 2009	Sept 9, 2009
ICDM'09	A+		June 26, 2009	Sept. 4, 2009
AusDM'09	B		July 31, 2009	Sept. 11, 2009
EDBT'10	A	Sept. 8, 2009	Sept. 15, 2009	Dec. 8, 2009

AusDM 2009 Calls for Paper

The Australasian Data Mining Conference is devoted to the art and science of intelligent data mining: the meaningful analysis of (usually large) data sets to discover relationships and present the data in novel ways that are compact, comprehendible and useful for researchers and practitioners.

This conference will bring together from the Data Mining and Business Analytics community researchers and practitioners to share and learn of research and progress in the local context and new breakthroughs in data mining algorithms and their applications.

The conference proceedings will be published under the Conferences in Research and Practice in Information Technology series for distribution at the conference.

Important Dates

Submission of full papers: Friday 31 July 2009
Notification of Authors: Friday 11 September 2009
Final version and author registration: Friday 25 September 2008
Conference: 1-4 December 2009

Call for Paper and Call for Participation of EDM

The Second International Conference on Educational Data Mining brings together again researchers from Computer Science, Education, Psychology, Psychometrics, and Statistics to analyze large data sets to answer educational research questions. The First International Conference on Educational Data Mining (EDM'08) was held in Montreal, Canada, 20-21 June 2008.

The conference will be held on 1-3 July 2009 in Universidad de Córdoba, Cordoba, Spain. Other Educational and Technology related conferences to be held in Europe during June, July 2009: 1st and 17th International Conference on User Modeling, Adaptation, and Personalization (UMAP 2009, 22-26 June 2009, Trento, Italy), 4th International Conference on Artificial Intelligence in Education (AIED 2009, 6-10 July 2009, Brighton, UK).

Important Dates (tentative)

Paper submission: March 31, 2009 April 7, 2009 (11:59pm EDT)

Acceptance notification: May 1, 2009

Camera ready paper: May 20, 2009

Conference: July 1-3, 2009

The First Asian Conference on Machine Learning (ACML) 2009 Call for Papers

General Information
The 1st Asian Conference on Machine Learning (ACML'09) will be held in November 2-4, 2009, Nanjing, China. The conference aims at providing a leading international forum for researchers in Machine Learning and related fields to share their new ideas and achievements. Submissions from other than the Asia-Pacific regions are also highly encouraged. The conference calls for research papers reporting original investigation results. The conference also solicits proposals focusing on frontier research in all aspects of machine learning.

Call for Papers
Topics:
The conference calls for papers that report high quality original research results on machine learning and related fields. The topics include but are not limited to the following:

• Active learning
• Bayesian learning
• Case-based reasoning
• Clustering
• Computational models of human learning
• Computational learning theory
• Constructive induction
• Cost-sensitive learning
• Decision trees
• Deep learning
• Dimensionality reduction
• Ensemble methods
• Evaluation of learning methods
• Feature selection/extraction/construction
• Incremental learning and on-line learning
• Inductive logic programming
• Information retrieval and learning
• Instance-based learning
• Kernel methods
• Knowledge refinement and theory revision
• Knowledge intensive learning
• Learning in computer vision
• Learning in natural language processing
• Learning to rank
• Learning with complex structures
• Meta learning
• Multi-agent learning
• Multi-instance learning
• Multi-strategy learning
• Multi-task learning
• Neural networks
• Regression
• Reinforcement learning
• Rule learning
• Statistical approaches
• Semi-supervised learning
• Transfer learning
• Unsupervised learning
• Web search and learning

Advanced Data Mining and Applications 2009 Call for Papers

A growing attention has been paid to the study, development and application of data mining. As a result there is an urgent need for sophisticated techniques and tools that can handle new fields of data mining, e.g. spatial data mining in the context of spatial-temporal characteristics, streaming data mining, and biomedical data mining. Our knowledge on data mining should also have to be expanded to new applications. The 5 th International Conference on Advanced Data Mining and Applications (ADMA2009) aims at bringing together the experts on data mining in the world, and provides a leading international forum for the dissemination of original research results in data mining, spanning applications, algorithms, software and systems, and different applied disciplines with potential in data mining.

The 1st International Conference on Advanced Data Mining and Applications (ADMA 2005) was successfully held in Wuhan , China , and the proceedings were published by Springer in LNAI 3584. The 2nd International Conference on Advanced Data Mining and Applications (ADMA 2006) was held in Xi'An , China , and the proceedings were also published by Springer in LNAI 4093. The 3rd ADMA 2007 was sponsored by Harbin Institute of Technology, and the proceedings were published by Springer in LNAI 4632. The 4th ADMA 2008 was held by Sichuan University, and the proceedings were published by Springer in LNAI 5139.
The proceedings of the 5th conference (ADMA2009) will be published by Springer in its Lecture Notes in Computer Science series, and indexed by EI. A selected number of the accepted papers will be expanded and revised for possible inclusion in "Knowledge and Information Systems: An International Journal" ( http://www.cs.uvm.edu/~kais/ ) by Springer.

We invite authors to submit papers on any topics of advanced data mining and applications, including but not limited to:
Advanced Data Mining Topics
1. Grand challenges of data mining
2. Parallel and distributed data mining algorithms
3. Mining on data streams
4. Graph and subgraph mining
5. Spatial data mining
6. Text, video, multimedia data mining
7. Web mining
8. High performance data mining algorithms
9. Correlation mining
10. Bench marking and evaluations
11. Interactive data mining
12. Data-mining-ready structures and pre-processing
13. Data mining visualization
14. Information hiding in data mining
15. Security and privacy issues
16. Competitive analysis of mining algorithms
Data Mining Applications (applied data mining in following listed areas)
1. Database administration, indexing, performance tuning
2. Grid computing
3. DNA Sequencing, Bioinformatics, Genomics, and biometrics
4. Image interpretations
5. E-commerce and Web services
6. Medical informatics
7. Disaster prediction
8. Remote monitoring
9. Financial market analysis
10. Online filtering
11. Application of Data Mining in Education Paper Submission
Paper submission will be electronic through the submission system. Before submitting your manuscripts, please read the paper format seriously.

Active Media Technology 2009 Call for Papers

#################################################################### Active Media Technology 2009
CALL FOR PAPERS

####################################################################
2009 International Conference on Active Media Technology (AMT 2009)
October 22-24, 2009, Beijing, China

Homepage: http://www.wici-lab.org/amtbi2009/

Mirror page: http://www.iwici.org/amtbi2009/

Organized by Web Intelligence Consortium (WIC)In Cooperation with Beijing Univeristy of Technology (BJUT)

In the great digital era, we are witnessing many rapid scientific andtechnological developments in human-centred, seamless computing environments,interfaces, devices, and systems with applications ranging from business andcommunication to entertainment and learning. These developments arecollectively best characterized as Active Media Technology (AMT), a new areaof intelligent information technology and computer science that emphasizes theproactive, seamless roles of interfaces and systems as well as new media inall aspects of digital life. An AMT based system offers services to enable therapid design, implementation and support of customized solutions.

The first International Conference on Active Media Technology(AMT01) was held in Hong Kong in 2001, the second InternationalConference on Active Media Technology (AMT04) was held in Chongqing,China in May 29-31 of 2004, the third International Conference onActive Media Technology (AMT05) was held in Kagawa, Japan in May2005, and the fourth International Conference on Active MediaTechnology (AMT06) was held in Brisbane, Australia in June 7-9,2006. Following the success of AMT01, AMT04, AMT05 and AMT06, theFifth International Conference on Active Media Technology (AMT09)will be held in Beijing, China in October 22-24, 2009.

Active Media Technology 2009 will be jointly held with the 2009International Conference on Brain Informatics (BI 2009). The twoconferences will have a joint opening, keynote, reception, andbanquet. Attendees only need to register for one conference and canattend workshops, sessions, exhibits and demonstrations across the twoconferences.

+++++++++++++++++++Topics of Interest+++++++++++++++++++
CONFERENCE TOPICS AND AREAS INCLUDE, BUT NOT LIMITED TO
* Active Computer Systems and Intelligent Interfaces

* Adaptive Web Systems and Information Foraging Agents

* Agent-Based Software Engineering and Multi-Agent Systems

* AMT for Semantic Web and Web2.0

* Conversational Informatics

* Data Mining, Ontology Mining and Web Reasoning

* Digital City and Digital Interactivity

* E-Commerce and Web Services

* Entertainment and Social Applications of Active Media

* Evaluation of Active Media and AMT Based Systems* Human-Web Interaction* Human Factors in AMT

* Machine Learning and Human-Centred Robotics

* Multi-Modal Processing, Detection, Recognition, and Expression Analysis

* Network, Mobile and Wireless Security

* Personalized, Pervasive, and Ubiquitous Systems and their Interfaces

* Semantic Comupting for Active Media and AMT Based Systems

* Smart Digital Media

* Trust on Web Information Systems

* Web Based Social Networks

* Web Mining, Wisdom Web and Web Intelligence

The proceeding of the conference will be published by Springer as avolume of the series of Lecture Notes in Computer Science/LectureNotes in Artificial Intelligence (LNCS/LNAI).Extensions of selected papers from the proceedings will beconsidered for publication in special issues of international journals.

Authors are strongly encouraged to use Springer LNCS/LNAI manuscriptsubmission guidelines (available at http://www.springer.de/comp/lncs/authors.html) for their initialsubmissions. All papers must be submitted electronically in PDF formatonly, using the conference management tool.

We will also have poster, demonstration, and late breaking resultpaper sessions. More detailed instructions and a paper submissionform can be found the AMT'09 Web page at http://www.wici-lab.org/amtbi2009/

++++++++++++++++Important Dates++++++++++++++++
Electronic submission of full papers (12 pages in Springer LNAI/LNCS style file): May 22, 2009
Notification of paper acceptance: June 25, 2009
Camera-ready of accepted papers: July 24, 2009
Conference: October 22-24, 2009

The 22nd Australasian Joint Conference on Artificial Intelligence Call for Papers

Aim and Scope:

The Australasian Joint Conference on Artificial Intelligence is a successful event held annually to promote research in AI and scientific interchange among researchers and practitioners in the field of Aritificial Intelligence. AI'09 is the 22nd in the series.The conference is hosted by Monash University, Faculty of Information Technology and will be co-located with the Australasian Data Mining Conference (AusDM '09) and the Third Australian Conference on Artificial Life (ACAL'09). The conference will be held at the University of Melbourne, Melbourne, Australia, between 1 and 4 December 2009.

Theme/Topics:

Prospective authors are invited to submit original and unpublished work on all areas of Artificial Intelligence. The conference topics include, but are not, restricted to, the following:
AI Applications Grammar and Language Processing Neural Networks
Agents Intelligent Databases Planning
Artificial Life Knowledge Discovery Robotics
Baysian Networks Knowledge Representation Soft Computing
Computer Aided Learning Logic Programming Statistical Learning
Constraints Machine Learning Vision and Image Processing
Data Mining Multi-Agent Systems
Evolutionary Computing Natural Language Systems


Important Dates

Authors should note the following deadlines:

* Paper Submission: June 16, 2009
* Notification of Acceptance of Paper: August 18, 2009
* Receipt of camera-ready copy: September 12, 2009
* Dates of the Conference: December 1- 4, 2009

ECIR2009-4th MUIA Workshop Call for Papers

The 4th International Workshop on Mobile and Ubiquitous Information Access will be held at the European Conference on Information Retrieval. As with previous workshops in the series, this workshop will provide a forum to investigate the many problems of providing information to users on the move. Devices range from web tablets and music players, through mobile phones to PDAs and tablet PCs. Developments in terms of device and network capability continue to transform the opportunities for novel methods of accessing information, and to improve existing techniques.

The workshop will provide a forum for those from traditional and mobile information retrieval communities to engage with experts in mobile computing and interaction. Accepted papers will be produced in workshop proceedings, with revised and re-reviewed post-proceedings versions published in an international journal. During the workshop, we will foster a lively environment for extensive discussion and the creation of new ideas.

Papers may focus on any one of a number of issues in this fast-moving and complex area:

• Mobile Information retrieval and filtering
• User modelling and personalisation
• Mobile device design for information access
• Context aware information delivery
• Nomadic computing
• Ubiquitous computing
• Usability of mobile information services
• Ambient intelligence

Submission format

Submissions should use the standard ACM Proceedings templates, available in Word and LaTeX formats.

Papers may be accepted as full papers (12 pages max.) or short papers (5 pages). Demonstrations and panel proposals are also welcome, accompanied by overview papers of up to 2 pages.

Papers should be submitted through our OpenConf site.

In case of any query, contact George Buchanan.

Organising Committee:

• George Buchanan, Swansea University, UK
• Fabio Crestani, University of Lugano, Switzerland
• Matt Jones, Swansea University, UK
• Stefano Mizzaro, University of Udine, Italy

Important Dates

• 30th January 2009: Deadline for submissions
• 20th February 2009: Notification to authors
• 27th February 2009: Final paper version deadline

IEEE Intelligent Systems Call for Papers: Mobile Information Retrieval

Mobile information retrieval (mobile IR) is concerned with the indexing and retrieval of information such as text, graphics, animation, sound, speech, image, and video, and their possible combinations for use in mobile devices with wireless network connectivity.

The proliferation of wireless and mobile devices such as personal digital assistants and mobile phones has created a large demand for mobile information content as well as effective mobile IR techniques. New technologies are needed for representing, modeling, indexing, and retrieving mobile data.

This special issue will focus on contributions that expand the state of the art of building intelligent systems for mobile IR. To be considered for this special issue, submissions related to information retrieval on the mobile Web and mobile Internet must address issues specific to mobile IR. We thus solicit original papers on research that

· effectively indexes and retrieves mobile information,

· can be integrated into unified mobile browsing and retrieval systems, and

· gives new insight into scalable algorithms allowing access to very large mobile databases.

We are especially interested in papers that address

· automatic summarization and personalization in mobile information;

· content adaptation for small display devices;

· content-based extraction, indexing, annotation, and retrieval of mobile data;

· context-aware information processing;

· data mining of query logs, clicks, and Web traffic on mobile devices;

· efficient retrieval models and query processing of mobile information from distributed databases;

· extraction of useful semantics in mobile information for indexing and retrieval;

· knowledge discovery through content and keyword fusion in mobile summarization, indexing, and retrieval;

· location-based search for mobile devices;

· mobile learning and user profiling for mobile information retrieval;

· mobile peer tagging and knowledge propagation;

· mobile retrieval across multiple media types, network conditions, and user preferences;

· multimodal user interface technologies;

· scalable browsing algorithms for large mobile databases; and

· spatial data management, mining spatial data generated by mobile users.

Submission Guidelines

Submissions due for review: 13 July 2009

Submissions should be 3,500 to 7,500 words (counting a standard figure or table as 200 words) and should follow the magazine’s style and presentation guidelines (see www.computer.org/portal/pages/intelligent/mc/author.html ). References should be limited to 10 citations. To submit a manuscript, access the IEEE Computer Society Web-based system, Manuscript Central, at https://mc.manuscriptcentral.com/cs-ieee .

List of papers accepted by PAKDD 2009

This year, 111 papers among the 338 submissions have been accepted (with an acceptance rate of 32.84%).

Regular papers
1.
PAKDD09-0093
A Statistical Approach for Binary Vectors Modeling and Clustering
Nizar Bouguila
2.
PAKDD09-0105
Negative Encoding Length as a Subjective Interestingness Measure for Groups of Rules
Einoshin Suzuki
3.
PAKDD09-0125
A Data Driven Ensemble Classifier for Credit Scoring Analysis
Nan-Chen Hsieh
4.
PAKDD09-0129
A Nonparametric Bayesian Learning Model: Application to Text and Image Categorization
Nizar Bouguila
5.
PAKDD09-0303
Clustering with lower bound on Similarity
Mohammad Al Hasan
6.
PAKDD09-0319
Long-Term Relevance Feedback for Content-Based Image Suggestion
Sabri Boutemedjet
7.
PAKDD09-0322
Ranking Vector Machine: An Efficient Method for Learning Ranking SVM
Hwanjo Yu
8.
PAKDD09-0330
Sentence-Level Novelty Detection in English and Malay
Agus Trisnajaya Kwee
9.
PAKDD09-0361
A kernel framework for protein residue annotation
Huzefa Rangwala
10.
PAKDD09-0376
The Studies of Mining Frequent Patterns Based on Frequent Pattern Tree
Show-Jane Yen
11.
PAKDD09-0402
A Comparative Study of Bandwidth Choice in Kernel Density Estimation for Naive Bayesian Classification
Bin Liu
12.
PAKDD09-0403
Thai Word Segmentation with Hidden Markov Model and Decision Tree
Poramin Bheganan
13.
PAKDD09-0411
Approximate Spectral Clustering
Liang Wang
14.
PAKDD09-0422
Detecting Link Hijacking by Web Spammers
YOUNGJOO CHUNG
15.
PAKDD09-0423
Interval Data Classification under Partial Information: A Chance-Constraint Approach
Sahely Bhadra
16.
PAKDD09-0450
Robust Graph Hyperparameter Learning for Graph Based Semi-Supervised Classification
Krikamol Muandet
17.
PAKDD09-0456
Detecting abnormal events via Hierarchical Dirichlet Processes
Xian-Xing Zhang
18.
PAKDD09-0457
Quantifying Asymmetric Semantic Relations from Query Logs by Resource Allocation
Zhiyuan Liu
19.
PAKDD09-0483
A Polynomial-Delay Polynomial-Space Algorithm for Extracting Frequent Diamond Episodes from Event Sequences
Takashi Katoh
20.
PAKDD09-0503
Cool Blog Classification from Positive and Unlabeled Examples
Kritsada Sriphaew
21.
PAKDD09-0518
Regularized Local Reconstruction for Clustering
Jun Sun
22.
PAKDD09-0546
Efficient Privacy-Preserving Link Discovery
Jaideep Vaidya
23.
PAKDD09-0547
DTU: A Decision Tree for Uncertain Data
Biao Qin
24.
PAKDD09-0560
Dynamic Exponential Family Matrix Factorization
Kohei Hayashi
25.
PAKDD09-0575
An Integration of Fuzzy Association Rules and WordNetfor Document Clustering
Chun-Ling Chen
26.
PAKDD09-0588
An efficient method for generating, storing and matching features for text mining
CHAN SHING KIT
27.
PAKDD09-0621
Nonlinear Data Analysis Using A New Hybrid Data Clustering Algorithm
Ureerat Wattanachon
28.
PAKDD09-0648
Text Categorization using Fuzzy Proximal SVM and Distributional Clustering of words
Arunkumar Mani
29.
PAKDD09-0650
Analysis of Variational Bayesian Matrix Factorization
Shinichi Nakajima
30.
PAKDD09-0660
On Link Privacy in Randomizing Social Networks
Xintao Wu
31.
PAKDD09-0665
A Multi-Partition Multi-Chunk Ensemble Technique to Classify Concept-Drifting Data Streams
Mohammad Mehedy Masud
32.
PAKDD09-0669
Online Feature Selection Algorithm with Bayesian l1 Regularization
Yunpeng Cai
33.
PAKDD09-0683
Multi-Resolution Boosting for Classification and Regression
Chandan K Reddy
34.
PAKDD09-0686
Exploiting the Block Structure of Link Graph for Efficient Similarity Computation
Pei Li
35.
PAKDD09-0690
On Joint Feature Selection and Local Learning Based Clustering
Yiu-ming Cheung
36.
PAKDD09-0700
Discovering Periodic-Frequent Patterns in Transactional Databases
Syed Khairuzzaman Tanbeer
37.
PAKDD09-0710
Parameter Estimation in Semi-Random Decision Tree Ensembling on Streaming Data
PeiPei Li
38.
PAKDD09-0712
Active Learning for Causal Bayesian Network Structure with Non-symmetrical Entropy
Guoliang Li
39.
PAKDD09-0714
Acquiring Semantic Relations using the Web as Background Knowledge
Wilson Wong

Short papers

1.
PAKDD09-0102
Similarity-based Feature Selection for Learning From Examples with Continuous Values
Yun Li
2.
PAKDD09-0106
Incremental nu-Support Vector Machine Learning
Bin Gu
3.
PAKDD09-0122
Accurate Synthetic Generation of Realistic Personal Information
Peter Christen
4.
PAKDD09-0124
Cross-Channel Query Recommendation on Commercial Mobile Search Engine: Why, How and Empirical Evaluation
Shunkai Fu
5.
PAKDD09-0128
Arif Index for Predicting the Classification Accuracy of Features and its Application in Heart Beat Classification Problem
Muhammad Arif
6.
PAKDD09-0156
Budget Semi-supervised Learning
Zhi-Hua Zhou
7.
PAKDD09-0300
On Pairwise Kernels: An Efficient Alternative and Generalization Analysis
Hisashi Kashima
8.
PAKDD09-0302
A New Local Distance-based Outlier Detection Approach for Scattered Real-World Data
Ke Zhang
9.
PAKDD09-0307
A Parallel Algorithm for Finding Related Pages in the Web by using Segmented Link Structures
Shen Xiaoyan
10.
PAKDD09-0320
Mining Both Positive and Negative Impact-Oriented Sequential Rules From Transactional Data: a Case Study in Social Security
Yanchang Zhao
11.
PAKDD09-0321
Mining Outliers with Faster Cutoff Update and Space Utilization
Chi Cheong Szeto
12.
PAKDD09-0327
X-tracking the Changes of Web Navigation Patterns
Long Wang
13.
PAKDD09-0336
Building a Text Classifier by a Keyword and Unlabeled Documents
Qiu Qiang
14.
PAKDD09-0349
Simultaneously Finding Fundamental Articles and New Topics Using a Community Tracking Method
Tieyun Qian
15.
PAKDD09-0350
A Discriminative Approach to Topic-based Citation Suggestion
Jie Tang
16.
PAKDD09-0355
Spatial Weighting for Bag-of-Visual-Words Representation and Its Application in Content-Based Image Retrieval
Xin Chen
17.
PAKDD09-0359
UCI++: Improved Support for Algorithm Selection Using Datasetoids
Carlos Soares
18.
PAKDD09-0362
Addressing the Variability of Natural Language Expression in Sentence Similarity with Semantic Structure of the Sentences
Palakorn Achananuparp
19.
PAKDD09-0367
Change Analysis in Spatial Data by Combining Contouring Algorithms with Supervised Density Functions
Vadeerat Rinsurongkawong
20.
PAKDD09-0372
Growth Analysis of Neighbor Network for Evaluation of Damage Progress
Ken-ichi Fukui
21.
PAKDD09-0374
When does Co-Training Work in Real Data?
Charles X. Ling
22.
PAKDD09-0377
Item Preference Parameters from Grouped Ranking Observations
Hideitsu Hino
23.
PAKDD09-0380
Pairwise Constrained Clustering for Sparse and High Dimensional Feature Spaces
Su Yan
24.
PAKDD09-0387
Application-independent feature construction from noisy samples
Dominique Gay
25.
PAKDD09-0388
Boosting Biomedical Information Retrieval Performance through Citation Graph: An Empirical Study
Jimmy Huang
26.
PAKDD09-0400
Centroid Neural Network with Spatial Constraints
Dong-Chul Park
27.
PAKDD09-0401
Classification of Audio Signals Using a Bhattacharyya Kernel-based Centroid Neural Network
Dong-Chul Park
28.
PAKDD09-0415
CBDT: A Concept Based Approach to Data Stream Mining
Stefan Hoeglinger
29.
PAKDD09-0416
Clustering Documents using a Wikipedia-based Concept Representation
Anna Huang
30.
PAKDD09-0418
Let's Tango - Finding the Right Couple for Feature-Opinion Association in Sentiment Analysis
Kam Tong Chan
31.
PAKDD09-0424
A Corpus-based Approach for Automatic Thai Unknown Word Recognition using Ensemble Learning Techniques
Jakkrit TeCho
32.
PAKDD09-0431
Extracting Fuzzy Rules for Detecting Ventricular Arrhythmias Based on NEWFM
Sang-Hong Lee
33.
PAKDD09-0433
Meaningful Subsequence Matching under Time Warping Distance for Data Stream
Vit Niennattrakul
34.
PAKDD09-0436
Speeding up Similarity Search on Large Time Series Dataset Under Time Warping Distance
Pongsakorn Ruengronghirunya
35.
PAKDD09-0437
A Family-based Evolutional Approach for Kernel Tree Selectionin SVMs
Ithipan Methasate
36.
PAKDD09-0442
Data Mining for Intrusion Detection: from Outliers to True Intrusions
Florent MASSEGLIA
37.
PAKDD09-0445
A Hybrid Approach to Improve Bilingual Multiword Expression Extraction
Jianyong Duan
38.
PAKDD09-0459
Safe-Level-SMOTE: Safe-Level-Synthetic Minority Over-sampling TEchnique for handling the class imbalanced problem
Chumphol Bunkhumpornpat
39.
PAKDD09-0463
An Effective Boosting Mehod for Naïve Bayesian Classifiers by Local Accuracy Estimation
Zhipeng Xie
40.
PAKDD09-0468
A Novel Fractal Representation for Dimensionality Reduction of Large Time Series Data
Poat Sajjipanon
41.
PAKDD09-0472
Spanning Tree Based Attribute Clustering
Yifeng Zeng
42.
PAKDD09-0474
An Efficient Candidate Pruning Technique for High Utility Pattern Mining
Chowdhury Farhan Ahmed
43.
PAKDD09-0489
Clustering Data Streams in Optimization and Geography Domains
Wen-Chih Peng
44.
PAKDD09-0490
k-Dominant Skyline Computation by using Sort-Filtering Method
Md. Anisuzzaman Siddique
45.
PAKDD09-0495
Trace Mining from Distributed Assembly Databases for Causal Analysis
Shohei Hido
46.
PAKDD09-0505
Emotion Recognition of Pop Music Based on Maximum Entropy with Priors
Hui He
47.
PAKDD09-0511
The effect of parameter tuning and focusing on bus travel time prediction
Carlos Soares
48.
PAKDD09-0528
Diversity in Combinations of Heterogeneous Classifiers
Kuo-Wei Hsu
49.
PAKDD09-0529
Music Ontology for Mood and Situation Reasoning to Support Music Retrieval and Recommendation
Seung Ro
50.
PAKDD09-0534
Learning to Extract Relations for Relational Classification
Steffen Rendle
51.
PAKDD09-0535
An Efficient Approximate Protocol for Privacy-Preserving Association Rule Mining
Jaideep Vaidya
52.
PAKDD09-0537
On optimal rules discovery: a framework and a necessary and sufficient condition for optimality
Yannick Le Bras
53.
PAKDD09-0552
Discovering Action Rules that are Highly Achievable from Massive Data
Einoshin Suzuki
54.
PAKDD09-0569
Using Highly Expressive Contrast Patterns for Classification - Is It Worthwhile?
Elsa Loekito
55.
PAKDD09-0583
Hot Item Detection in Uncertain Data
Matthias Renz
56.
PAKDD09-0585
Outlier Detection in Axis-Parallel Subspaces of High Dimensional Data
Peer Kröger
57.
PAKDD09-0592
An Online Incremental Learning Vector Quantization
Ye Xu
58.
PAKDD09-0594
Newistic: a distributed news gathering and analysis platform
Horatiu Mocian
59.
PAKDD09-0608
Sparse Kernel Learning and the Relevance Units Machine
Junbin Gao
60.
PAKDD09-0617
Link Structure Ranking Algorithm for Trading Networks
Andri Mirzal
61.
PAKDD09-0626
Estimating Optimal Feature Subsets Using Mutual Information Feature Selector and Rough Sets
Sombut Foitong
62.
PAKDD09-0628
A Multi-Resolution Approach for Atypical Behaviour Mining
Florent MASSEGLIA
63.
PAKDD09-0634
An Instantiation of Hierarchical Distance-based Conceptual Clustering for Propositional Learning
Maria Jose Ramirez-Quintana
64.
PAKDD09-0637
Website Classification using Extended Hidden Markov Models
Majid Yazdani
65.
PAKDD09-0649
Aggregated Subset Mining
Albrecht Zimmermann
66.
PAKDD09-0661
Transfer Learning Action Models by Measuring the Similarity of Different Domains
Hankui Zhuo
67.
PAKDD09-0670
On Mining Rating Dependencies in Online Collaborative Rating Networks
Hady W. Lauw
68.
PAKDD09-0682
Towards a Novel Association Measure via Web Search Results Mining
Xiaojun Wan
69.
PAKDD09-0687
An Aggregate Ensemble for Mining Data Streams with both Concept Drifting and Noise
peng zhang
70.
PAKDD09-0691
CLHQS: Hierarchical Query Suggestion by Mining Clickthrough Log
Depin Chen
71.
PAKDD09-0695
Romanization of Thai Proper Names Based On Popularity Of Usages
Akegapon Tangverapong
72.
PAKDD09-0704
Computing Substitution Matrices for Genomic Comparative Analysis
Minh Duc Cao