Knowledge Discovery In Inductive Databases
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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.
Knowledge Discovery In Inductive Databases
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Author : Arno Siebes
language : en
Publisher: Springer
Release Date : 2005-02-09
Knowledge Discovery In Inductive Databases written by Arno Siebes and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-02-09 with Computers categories.
This book constitutes the thoroughly refereed joint postproceedings of the Third International Workshop on Knowledge Discovery in Inductive Databases, KDID 2004, held in Pisa, Italy in September 2004 in association with ECML/PKDD. Inductive Databases support data mining and the knowledge discovery process in a natural way. In addition to usual data, an inductive database also contains inductive generalizations, like patterns and models extracted from the data. This book presents nine revised full papers selected from 23 submissions during two rounds of reviewing and improvement together with one invited paper. Various current topics in knowledge discovery and data mining in the framework of inductive databases are addressed.
Knowledge Discovery In Inductive Databases
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Author : Francesco Bonchi
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-03-31
Knowledge Discovery In Inductive Databases written by Francesco Bonchi 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 2006-03-31 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.
Knowledge Discovery In Inductive Databases
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Author :
language : en
Publisher:
Release Date : 2005
Knowledge Discovery In 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 2005 with Data mining categories.
Data Mining And Knowledge Discovery Handbook
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Author : Oded Maimon
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-05-28
Data Mining And Knowledge Discovery Handbook written by Oded Maimon 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 2006-05-28 with Computers categories.
Data Mining and Knowledge Discovery Handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified repository. This book first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. This volume concludes with in-depth descriptions of data mining applications in various interdisciplinary industries including finance, marketing, medicine, biology, engineering, telecommunications, software, and security. Data Mining and Knowledge Discovery Handbook is designed for research scientists and graduate-level students in computer science and engineering. This book is also suitable for professionals in fields such as computing applications, information systems management, and strategic research management.
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.
Database Support For Data Mining Applications
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Author : Rosa Meo
language : en
Publisher: Springer Science & Business Media
Release Date : 2004-07-28
Database Support For Data Mining Applications written by Rosa Meo 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 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.
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 : 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.
Proceedings Of The 2nd International Workshop On Knowledge Discovery In Inductive Databases Kdid 2003
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Author : Jean-François Boulicaut
language : en
Publisher:
Release Date : 2003
Proceedings Of The 2nd International Workshop On Knowledge Discovery In Inductive Databases Kdid 2003 written by Jean-François Boulicaut and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with categories.