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Inductive databases and constraint-based data mining by Sašo Džeroski (auth.), Sašo Džeroski, Bart Goethals, Panče Panov (eds.) is a nonfiction available to read on EtoBox.
What is Inductive databases and constraint-based data mining about?
This book is about inductive databases and constraint-based data mining, emerging research topics lying at the intersection of data mining and database research. The aim of the book as to provide an overview of the state-of- the art in this novel and - citing research area. Of special interest are the recent methods for constraint-based mining of global models for prediction and clustering, the uni?cation of pattern mining approaches through constraint programming, the clari?cation of the re- tionship between mining local patterns and global models, and the proposed in- grative frameworks and approaches for inducive databases. On the application side, applications to practically relevant problems from bioinformatics are presented. Inductive databases (IDBs) represent a database view on data mining and kno- edge discovery. IDBs contain not only data, but also generalizations (patterns and models) valid in the data. In an IDB, ordinary queries can be used to access and - nipulate data, while inductive queries can be used to generate (mine), manipulate, and apply patterns and models. In the IDB framework, patterns and models become ”?rst-class citizens” and KDD becomes an extended que
Who reads Inductive databases and constraint-based data mining?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Sašo Džeroski (auth.), Sašo Džeroski, Bart Goethals, Panče Panov (eds.)
- Publisher
- Springer-Verlag New York
- Published
- 2010
- Language
- EN
- ISBN
- 9781441977373
- Category
- nonfiction
- Subjects
- Science, Computer Science, Management
Other editions & translations
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