Constraint Based Mining And Inductive Databases
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Inductive Databases And Constraint Based Data Mining
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Author : Sašo Džeroski
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-11-18
Inductive Databases And Constraint Based Data Mining written by Sašo Džeroski and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-18 with Computers categories.
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 querying process in which both the data and the patterns/models that hold in the data are queried.
Constraint Based Mining And Inductive Databases
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Author : Jean-Francois Boulicaut
language : en
Publisher: Springer
Release Date : 2006-02-08
Constraint Based Mining And Inductive Databases written by Jean-Francois Boulicaut and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-02-08 with Computers categories.
The interconnected ideas of inductive databases and constraint-based mining are appealing and have the potential to radically change the theory and practice of data mining and knowledge discovery. This book reports on the results of the European IST project "cInQ" (consortium on knowledge discovery by Inductive Queries) and its final workshop entitled Constraint-Based Mining and Inductive Databases organized in Hinterzarten, Germany in March 2004.
Inductive Databases And Constraint Based Data Mining
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Author : Saso Dzeroski
language : en
Publisher: Springer
Release Date : 2010-11-02
Inductive Databases And Constraint Based Data Mining written by Saso Dzeroski and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-02 with Computers categories.
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 querying process in which both the data and the patterns/models that hold in the data are queried.
Constraint Based Mining And Inductive Databases
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Author : Jean-Francois Boulicaut
language : en
Publisher: Springer
Release Date : 2006-02-08
Constraint Based Mining And Inductive Databases written by Jean-Francois Boulicaut and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-02-08 with Computers categories.
The interconnected ideas of inductive databases and constraint-based mining are appealing and have the potential to radically change the theory and practice of data mining and knowledge discovery. This book reports on the results of the European IST project "cInQ" (consortium on knowledge discovery by Inductive Queries) and its final workshop entitled Constraint-Based Mining and Inductive Databases organized in Hinterzarten, Germany in March 2004.
Constraint Based Mining And Inductive Databases
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Author : Jean-Francois Boulicaut
language : en
Publisher: Springer
Release Date : 2006-01-25
Constraint Based Mining And Inductive Databases written by Jean-Francois Boulicaut and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-01-25 with Computers categories.
The interconnected ideas of inductive databases and constraint-based mining are appealing and have the potential to radically change the theory and practice of data mining and knowledge discovery. This book reports on the results of the European IST project "cInQ" (consortium on knowledge discovery by Inductive Queries) and its final workshop entitled Constraint-Based Mining and Inductive Databases organized in Hinterzarten, Germany in March 2004.
Knowledge Discovery In Inductive Databases
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Author : Saso Dzeroski
language : en
Publisher: Springer
Release Date : 2007-09-29
Knowledge Discovery In Inductive Databases written by Saso Dzeroski and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-09-29 with Computers categories.
This book constitutes the thoroughly refereed joint postproceedings of the 5th International Workshop on Knowledge Discovery in Inductive Databases, KDID 2006, held in association with ECML/PKDD. Bringing together the fields of databases, machine learning, and data mining, the papers address various current topics in knowledge discovery and data mining in the framework of inductive databases such as constraint-based mining, database technology and inductive querying.
Constraint Based Mining And Inductive Databases
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Author :
language : en
Publisher:
Release Date : 2006
Constraint Based Mining And Inductive Databases written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Data mining categories.
Knowledge Discovery In Inductive Databases
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Author : Francesco Bonchi
language : en
Publisher: Springer
Release Date : 2006-03-05
Knowledge Discovery In Inductive Databases written by Francesco Bonchi and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-03-05 with Computers categories.
This book presents the thoroughly refereed joint postproceedings of the 4th International Workshop on Knowledge Discovery in Inductive Databases, October 2005. 20 revised full papers presented together with 2 are reproduced here. Bringing together the fields of databases, machine learning, and data mining, the papers address various current topics in knowledge discovery and data mining in the framework of inductive databases such as constraint-based mining, database technology and inductive querying.
Database Support For Data Mining Applications
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Author : Rosa Meo
language : en
Publisher: Springer
Release Date : 2004-07-28
Database Support For Data Mining Applications written by Rosa Meo and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-07-28 with Computers categories.
Data mining from traditional relational databases as well as from non-traditional ones such as semi-structured data, Web data, and scientific databases housing biological, linguistic, and sensor data has recently become a popular way of discovering hidden knowledge. This book on database support for data mining is developed to approaches exploiting the available database technology, declarative data mining, intelligent querying, and associated issues, such as optimization, indexing, query processing, languages, and constraints. Attention is also paid to the solution of data preprocessing problems, such as data cleaning, discretization, and sampling. The 16 reviewed full papers presented were carefully selected from various workshops and conferences to provide complete and competent coverage of the core issues. Some papers were developed within an EC funded project on discovering knowledge with inductive queries.
Data Mining And Constraint Programming
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Author : Christian Bessiere
language : en
Publisher: Springer
Release Date : 2016-12-01
Data Mining And Constraint Programming written by Christian Bessiere and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-01 with Computers categories.
A successful integration of constraint programming and data mining has the potential to lead to a new ICT paradigm with far reaching implications. It could change the face of data mining and machine learning, as well as constraint programming technology. It would not only allow one to use data mining techniques in constraint programming to identify and update constraints and optimization criteria, but also to employ constraints and criteria in data mining and machine learning in order to discover models compatible with prior knowledge. This book reports on some key results obtained on this integrated and cross- disciplinary approach within the European FP7 FET Open project no. 284715 on “Inductive Constraint Programming” and a number of associated workshops and Dagstuhl seminars. The book is structured in five parts: background; learning to model; learning to solve; constraint programming for data mining; and showcases.