ICKE 2011 - International Conference on Knowledge Engineering ICKE2011
Topics/Call fo Papers
Data Mining
Web Mining
Mining text and semi-structured data
Temporal and spatial data mining
Multimedia Mining
Data Mining Applications
Other Allied Topics
Data Mining for Business Intelligence
Data Mining in usability.
Data Analysis
Information extraxtion Methodology.
Data & Information Integration.
Active Data Mining.
Automatic Data Cleaning
KDD
Mining semantic search
Data Engineering
Content Mining
Information Retrieval
Metadata use and Management
Multidimensional query language and query optimization
Search engine query processing .
Pattern Analysis & Mining
Knowledge acquisition, representation & retrival
Cognitive Science
Human Computer Interactions
Data Mining Integration
Mining large scale data.
Distributed and grid base data mining.
Data & knowledge representation
Data Warehousing and OLAP integration.
Metadata and ontologies.
Agent technologies for data mining.
Data Mining Algorithms
Fuzzy Logic and Rough sets.
Decision Trees / Rule learners.
SVM- Support Vector Machine.
Statistical Methods.
Ensembles Committee approach.
Data Mining Process
Data Cleaning and Preparation.
Feature selection and transformation.
Attribute discretisation and encoding.
Sampling and rebalancing.
Missing value imputation.
Web Mining
Mining text and semi-structured data
Temporal and spatial data mining
Multimedia Mining
Data Mining Applications
Other Allied Topics
Data Mining for Business Intelligence
Data Mining in usability.
Data Analysis
Information extraxtion Methodology.
Data & Information Integration.
Active Data Mining.
Automatic Data Cleaning
KDD
Mining semantic search
Data Engineering
Content Mining
Information Retrieval
Metadata use and Management
Multidimensional query language and query optimization
Search engine query processing .
Pattern Analysis & Mining
Knowledge acquisition, representation & retrival
Cognitive Science
Human Computer Interactions
Data Mining Integration
Mining large scale data.
Distributed and grid base data mining.
Data & knowledge representation
Data Warehousing and OLAP integration.
Metadata and ontologies.
Agent technologies for data mining.
Data Mining Algorithms
Fuzzy Logic and Rough sets.
Decision Trees / Rule learners.
SVM- Support Vector Machine.
Statistical Methods.
Ensembles Committee approach.
Data Mining Process
Data Cleaning and Preparation.
Feature selection and transformation.
Attribute discretisation and encoding.
Sampling and rebalancing.
Missing value imputation.
Other CFPs
Last modified: 2010-09-24 18:27:28