Call for Papers: The 2009 International Conference on Data Mining (DMIN'09), USA, July 13-16, 2009

Call for Papers: The 2009 International Conference on Data Mining (DMIN'09), USA, July 13-16, 2009

Post by A. M. G. S » Sat, 29 Nov 2008 11:39:46


C A L L F O R P A P E R S
===============================

CALL FOR PAPERS
and
Call For Workshop/Session Proposals

The 2009 International Conference on Data Mining
DMIN'09

Date and Location: July 13-16, 2009, Las Vegas, USA

You are invited to submit a paper (and/or a proposal to organize
a session/workshop). All accepted papers will be published in the
respective conference proceedings.

SCOPE: Topics of interest include, but are not limited to, the
following:

O Data Mining Tasks
- Regression/Classification
- Time series forecasting
- Segmentation/Clustering/Association
- Deviation and outlier detection
- Explorative and visual data mining
- Web mining
- Mining text and semi-structured data
- Temporal and spatial data mining
- Multimedia mining (audio/video)
- Others

O Data Mining Algorithms
- Artificial neural networks
- Fuzzy logic and rough sets
- Decision trees/rule learners
- Support vector machines
- Evolutionary computation/meta heuristics
- Statistical methods
- Collaborative filtering
- Case based reasoning
- Link and sequence analysis
- Ensembles/committee approaches
- Others

O Data Mining Integration
- Mining large scale data
- Distributed and grid based data mining
- Data and knowledge representation
- Data warehousing and OLAP integration
- Integration of prior/domain knowledge
- Metadata and ontologies
- Agent technologies for data mining
- Legal and social aspects of data mining
- Others

O Data Mining Process
- Data cleaning and preparation
- Feature selection and transformation
- Attribute discretisation and encoding
- Sampling and rebalancing
- Missing value imputation
- Model selection/assessment and comparison
- Induction principles
- Model interpretation
- Others

O Data Mining Applications
- Bioinformatics/Medicine
- Business/Industrial
- Engineering
- Military/Security
- Social science
- Others

O Data Mining Software
We particularly encourage submissions of industrial applications
and
case studies from practitioners. These will not be evaluated
using
solely theoretical research criteria, but will take general
interest
and presentation stringer into consideration.

O Alternative and additional examples of possible topics include:
Data Mining for Business Intelligence; Emerging technologies in
data
mining; Computational performance issues in data mining; Data
mining
in usability; Advanced prediction modelling using data mining;
Data
mining and national security; Data mining tools; Data analysis;
Data preparation techniques (selection, transformation, and
preprocessing); Information extraction methodologies; Clustering
algorithms used in data mining; Genetic algorithms and
categorization
techniques used in data mining; Data and information integration;
Microarray design and analysis; Privacy-preserving data mining;
Active
data mining; Statistical methods used in data mining;
Multidimensional
data; Automatic data cleaning; Data visualization; Theory an
 
 
 

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