Monday, April 20, 2009

IEEE ICDM 2009 Calls for Papers


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

Thursday, April 16, 2009

SPIRE 2009 Calls for Paper

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.

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

Sunday, April 12, 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



Abstract Deadline

Full Paper Deadline




Apr. 10, 2009

June 3, 2009



Apr. 3, 2009 Apr. 14, 2009 June 5, 2009


Apr. 13, 2009 May 25, 2009



June 1, 2009 June 8, 2009 July 22. 2009



June 16, 2009

Aug. 18, 2009



June 10, 2009

June 17, 2009

Sept 9, 2009



June 26, 2009

Sept. 4, 2009



July 31, 2009

Sept. 11, 2009



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

Sunday, April 05, 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