Abstract:
Knowledge discovery in databases and data mining aim at semiautomatic tools for the analysis of large data sets. We give an overview of the area and present some of the r...Show MoreMetadata
Abstract:
Knowledge discovery in databases and data mining aim at semiautomatic tools for the analysis of large data sets. We give an overview of the area and present some of the research issues, especially from the database angle.
Published in: Proceedings of 8th International Conference on Scientific and Statistical Data Base Management
Date of Conference: 18-20 June 1996
Date Added to IEEE Xplore: 06 August 2002
Print ISBN:0-8186-7264-1
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Machine Learning ,
- Data Mining ,
- Knowledge Discovery ,
- Overview Of Areas ,
- Research And Development ,
- Detailed Data ,
- Sequence Of Events ,
- Markov Chain Monte Carlo ,
- Types Of Events ,
- Generation Algorithm ,
- Interesting Patterns ,
- Regression Tree ,
- Number Of Objects ,
- Pattern Classification ,
- Relational Database ,
- Learning Rule ,
- Partial Order ,
- Association Rules ,
- Large Collection Of Data ,
- Data Mining Algorithms ,
- Object Database ,
- Data Mining Tasks ,
- Discovery Of Modulators
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Machine Learning ,
- Data Mining ,
- Knowledge Discovery ,
- Overview Of Areas ,
- Research And Development ,
- Detailed Data ,
- Sequence Of Events ,
- Markov Chain Monte Carlo ,
- Types Of Events ,
- Generation Algorithm ,
- Interesting Patterns ,
- Regression Tree ,
- Number Of Objects ,
- Pattern Classification ,
- Relational Database ,
- Learning Rule ,
- Partial Order ,
- Association Rules ,
- Large Collection Of Data ,
- Data Mining Algorithms ,
- Object Database ,
- Data Mining Tasks ,
- Discovery Of Modulators
