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Data Mining Topics of Interest

Topics include, but are not limited to, the following:

Data Mining Tasks

  • Regression/Classification

  • Time series forecasting

  • Segmentation/Clustering/Association

  • Deviation and outlier detection

  • Explorative and visual data mining

  • Web mining

  • Text mining

  • Mining semi-structured data

  • Temporal and spatial data mining

  • Multimedia mining (audio/video)

  • Others

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

Data Mining Integration

  • Mining large scale data
  • Distributed data mining
  • grid based data mining
  • Data & knowledge representation
  • Data warehousing
  • OLAP integration
  • Integration of prior knowledge
  • Integration of domain knowledge
  • Metadata and ontologies
  • Agent technology for data mining
  • Legal aspects of data mining
  • Social aspects of data mining
  • Others

Data Mining Process

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

Data Mining Applications

  • Bioinformatics
  • Medicine Data Mining
  • Business Data Mining
  • Corporate Data Mining
  • Credit Scoring
  • Direct Marketing
  • Database Marketing
  • Industrial Data Mining
  • Engineering Mining
  • Military Data Mining
  • Security Data Mining
  • Social science Mining
  • Others

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.

Data Mining Software

  • All aspects & modules

 

 

Alternative & 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
  • Case studies and prototypes
  • Automatic data cleaning
  • Data visualization
  • Theory and practice - knowledge representation and discovery
  • Knowledge Discovery in Databases (KDD)
  • Uncertainty management
  • Data reduction methods
  • Data engineering
  • Content mining
  • Indexing schemes
  • Information retrieval
  • Metadata use and management
  • Multidimensional query languages and query optimization
  • Multimedia information systems
  • Search engine query processing
  • Pattern mining
  • Applications (examples: data mining in education, marketing, finance and financial services, business applications, medicine, bioinformatics, biological sciences, science and technology, industry and government, ...)

 

 

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FAQ - Frequent Questions

Can I also submit papers on other topics?
Yes, but the topic should be somewhat related to the methods, applications, processes or future extensions of data mining. We particularly welcome all papers on methods of Artificial Intelligence, Computational Intelligence, Machine Learning etc. If in doubt, please contact the programme chair beforehand.

 

Contact

Sven F. Crone & Robert Stahlbock
General Conference Co-Chairs

E-mail: conference-chair@dmin-2008.com

 

This website is hosted by the Lancaster Centre for Forecasting at the Department of Management Science at Lancaster University Management School.

 

 

 

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