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ICDM 2013 - SEVENTH INTERNATIONAL CONFERENCE ON DATAMINING AND WAREHOUSING (ICDM-2013)

Date2013-08-09 - 2013-08-11

Deadline2013-03-04

VenueBangalore , India India

Keywords

Websitehttps://icipbangalore.org/

Topics/Call fo Papers

Authors should submit an original and unpublished paper in English, carefully check for correct grammar and spelling, using the on-line submission system on www.icipbangalore.org . The guidelines for paper formatting and paper page limits must be strictly used for all submitted papers. The submission format is the same as the camera-ready format. Please check and carefully follow the instructions and templates provided. Each paper should clearly indicate the nature of its technical/scientific contribution and the problems, domains or environments to which it is applicable. Papers that are out of the conference scope or contain any form of plagiarism will be rejected without reviews.
Topics of interest include (but are not limited to) the following, in the context of Information Processing.
Data and Web Mining
Fuzzy Set Theory, Fuzzy Control and System
Inductive Learning Networking
Information Retrieval
Information Security
Intelligent Agent Intelligent
Intelligent Control
Knowledge Based System
Knowledge Management
Rough and Fuzzy Rough Set
Visual Information Processing
Biological Data mining
Data Management and Data Centers
Distributed Cyber-Physical Systems
Fault Tolerance and Reliability
Distributed Intelligent Systems
Database Engineering and Applications
Information and Knowledge Management
Internet-Based Knowledge Engineering
Semantic Web
Web Engineering
Artificial Intelligence
Genetic Algorithms
Clustering
Data Mining and Text Mining
Data Stream Mining
Dimensionality Reduction
Dynamic Data Mining
E-Service and Web Intelligence
Feature Extraction
Graph Mining and Semi-Structured Data
Machine Learning
Multimedia Mining
Neural Networks
Pre-Processing Techniques
Security and Information Hiding
Spatial Data Mining
Statistical Learning Theory
Data warehouse maintainance
Data warehouse Meta Data
Multimedia Data Mining

Last modified: 2012-12-03 12:38:17