|
|
DMIN 2009 is one of the finest International Conference on Data Mining. The conference invites academics, practitioners etc to discuss on various topics related to data mining, knowledge discovery in databases, machine learning, computational intelligence and many more. A great number of participants from all over the world are expected to attend the 2009 International Conference On Data Mining.
The 5th International Conference on Data Mining consists of the following topics but not limited to:
- Data Mining Tasks
- Segmentation/Clustering/Association
- Deviation & Outlier Detection
- Explorative & Visual Data Mining
- Grid Based Data Mining
- Data & Knowledge Representation
- Data Warehousing
- Integration of Prior Knowledge
- Web Mining
- Regression/Classification
- Time Series Forecasting
- Text Mining
- Data Mining Algorithms
- Artificial Neural Networks
- Fuzzy Logic & Rough Sets
- Decision Trees/Rule Learners
- Mining Semi-Structured Data
- Temporal & Spatial Data Mining
- Multimedia Mining (Audio/Video)
- Support Vector Machines
- Direct Marketing
- Database Marketing
- Industrial Data Mining
- Evolutionary Computation/Meta Heuristics
- Statistical Methods
- Collaborative Filtering
- Case Based Reasoning
- Link & Sequence Analysis
- Ensembles/Committee Approaches
- Data Mining Integration
- Mining Large Scale Data
- Distributed Data Mining
- Integration of Domain Knowledge
- Social Aspects of Data Mining
- Data Mining Process
- Data Cleaning & Preparation
- Feature Selection & Transformation
- Metadata & Ontologies
- Agent Technology for Data Mining
- Legal Aspects of Data Mining
- Military Data Mining
- Security Data Mining
- Social Science Mining
- Data Mining Software
- Sampling & Rebalancing
- Induction Principles
- Model Interpretation
- Data Mining Applications
- Bioinformatics
- Medicine Data Mining
- Business Data Mining
- Missing Value Imputation
- Model Selection/Assessment
- Model Comparison
- Corporate Data Mining
- Credit Scoring
- Engineering Mining
Organizer
The University of Georgia, Department of Computer Science
