Artificial intelligence: a knowledge-based approach
Artificial intelligence: a knowledge-based approach
C4.5: programs for machine learning
C4.5: programs for machine learning
Prototype implementation of the integrated genomic database
Computers and Biomedical Research
Case-based reasoning
The process of knowledge discovery in databases
Advances in knowledge discovery and data mining
A statistical perspective on knowledge discovery in databases
Advances in knowledge discovery and data mining
Inductive logic programming and knowledge discovery in databases
Advances in knowledge discovery and data mining
Bayesian classification (AutoClass): theory and results
Advances in knowledge discovery and data mining
Bioinformatics: the machine learning approach
Bioinformatics: the machine learning approach
What Makes Patterns Interesting in Knowledge Discovery Systems
IEEE Transactions on Knowledge and Data Engineering
Machine Learning
Testing HIV Molecular Biology In itIn Silico Physiologies
Proceedings of the 1st International Conference on Intelligent Systems for Molecular Biology
RIBOWEB: Linking Structural Computations to a Knowledge Base of Published Experimental Data
Proceedings of the 5th International Conference on Intelligent Systems for Molecular Biology
Data Mining for Regulatory Elements in Yeast Genome
Proceedings of the 5th International Conference on Intelligent Systems for Molecular Biology
Bayesian Protein Family Classifier
ISMB '98 Proceedings of the 6th International Conference on Intelligent Systems for Molecular Biology
The GeneMine system for genome/proteome annotation and collaborative data mining
IBM Systems Journal - Deep computing for the life sciences
A text-mining system for knowledge discovery from biomedical documents
IBM Systems Journal
Symbolic adaptive neuro-fuzzy inference for data mining of heterogenous data
Intelligent Data Analysis
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The new technologies for Knowledge Discovery from Databases (KDD) and data mining promise to bring new insights into a voluminous growing amount of biological data. KDD technology is complementary to laboratory experimentation and helps speed up biological research. This article contains an introduction to KDD, a review of data mining tools, and their biological applications. We discuss the domain concepts related to biological data and databases, as well as current KDD and data mining developments in biology.