IACSIT-2014 3rd International Conference on Database and Data Mining

Website http://www.icddm.org/ | Edit Freely

Category Database;Data Mining

Deadline: March 20, 2014 | Date: June 07, 2014-June 08, 2014

Venue/Country: Pattaya, Thailand

Updated: 2014-02-27 15:28:44 (GMT+9)

Call For Papers - CFP

(ICDDM 2014)

June 7-8, 2014

Pattaya, Thailand

http://www.icddm.org/

Paper Submission March 20, 2014

Email: ICDDMIACSIT.ORG

Tel: +86-28-8652-7868 (International)

Topics of interest for submission include, but are not limited to:

Data mining foundations

Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis)

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

High performance implementations of data mining algorithms

Mining in targeted application contexts

Mining high speed data streams

Mining sensor data

Distributed data mining and mining multi-agent data

Mining in networked settings: web, social and computer networks, and online communities

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

Security, privacy, and data integrity

Integrated KDD applications and systems

Bioinformatics, computational chemistry, geoinformatics, and other science & engineering disciplines

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 Data mining foundations

Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis)

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

High performance implementations of data mining algorithms

Mining in targeted application contexts

Mining high speed data streams

Mining sensor data

Distributed data mining and mining multi-agent data

Mining in networked settings: web, social and computer networks, and online communities

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

Security, privacy, and data integrity

Integrated KDD applications and systems

Bioinformatics, computational chemistry, geoinformatics, and other science & engineering disciplines

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

All full paper submissions will also be peer reviewed and evaluated based on originality, technical and/or research content/depth, correctness, relevance to conference, contributions, and readability. The full paper submissions will be chosen based on technical merit, interest, applicability, and how well they fit a coherent and balanced technical program.

Publications

All accepted papers will be published in the volume of International Journal of Machine Learning and Computing (IJMLC), and will be included in theEngineering & Technology Digital Library, Google Scholar, Crossref, ProQuest,Electronic Journals Library, DOAJ and EI (INSPEC, IET).

Contact Us

Ms. Wendy C. Lee, Secretary of ICDDM 2014

International Association of Computer Science & Information Technology (IACSIT)

IACSIT China Office, E12, No.51, Tengfei Avenue, Chengdu, Sichuan, China, 610000

+86-28-8652-7868

ICDDM 2014 E-mail: icddmiacsit.org

ICDDM 2014 website: http://www.icddm.org

IACSIT Website: http://www.iacsit.org/

Complaint E-mail: complaintiacsit.org