Knowledge Discovery In Inductive Databases

Author : Saso Dzeroski,Jan Struyf
Publisher : Springer
Page : 301 pages
File Size : 54,6 Mb
Release : 2007-09-29
Category : Computers
ISBN : 9783540755494

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Knowledge Discovery in Inductive Databases by Saso Dzeroski,Jan Struyf Pdf

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.

Author : Bart Goethals
Publisher : Springer Science & Business Media
Page : 197 pages
File Size : 53,6 Mb
Release : 2005-02-23
Category : Computers
ISBN : 9783540250821

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Knowledge Discovery in Inductive Databases by Bart Goethals Pdf

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.

Author : Francesco Bonchi,Jean-Francois Boulicaut
Publisher : Springer
Page : 252 pages
File Size : 42,6 Mb
Release : 2006-03-05
Category : Computers
ISBN : 9783540332930

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Knowledge Discovery in Inductive Databases by Francesco Bonchi,Jean-Francois Boulicaut Pdf

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.

Author : Oded Maimon,Lior Rokach
Publisher : Springer Science & Business Media
Page : 1378 pages
File Size : 50,9 Mb
Release : 2006-05-28
Category : Computers
ISBN : 9780387254654

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Data Mining and Knowledge Discovery Handbook by Oded Maimon,Lior Rokach Pdf

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.

Author : Rosa Meo,Pier L. Lanzi,Mika Klemettinen
Publisher : Springer Science & Business Media
Page : 336 pages
File Size : 47,8 Mb
Release : 2004-07-28
Category : Computers
ISBN : 9783540224792

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Database Support for Data Mining Applications by Rosa Meo,Pier L. Lanzi,Mika Klemettinen Pdf

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.

Author : Anonim
Publisher : Unknown
Page : 276 pages
File Size : 50,5 Mb
Release : 2005
Category : Data mining
ISBN : UOM:39015069189085

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Knowledge Discovery in Inductive Databases by Anonim Pdf

Author : Jean-Francois Boulicaut,Luc De Raedt,Heikki Mannila
Publisher : Springer
Page : 404 pages
File Size : 50,5 Mb
Release : 2006-02-08
Category : Computers
ISBN : 9783540313519

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Constraint-Based Mining and Inductive Databases by Jean-Francois Boulicaut,Luc De Raedt,Heikki Mannila Pdf

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.

Author : Animesh Adhikari,Jhimli Adhikari
Publisher : Springer
Page : 370 pages
File Size : 49,5 Mb
Release : 2014-12-27
Category : Technology & Engineering
ISBN : 9783319132129

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Advances in Knowledge Discovery in Databases by Animesh Adhikari,Jhimli Adhikari Pdf

This book presents recent advances in Knowledge discovery in databases (KDD) with a focus on the areas of market basket database, time-stamped databases and multiple related databases. Various interesting and intelligent algorithms are reported on data mining tasks. A large number of association measures are presented, which play significant roles in decision support applications. This book presents, discusses and contrasts new developments in mining time-stamped data, time-based data analyses, the identification of temporal patterns, the mining of multiple related databases, as well as local patterns analysis.

Author : Saso Dzeroski
Publisher : Springer Science & Business Media
Page : 422 pages
File Size : 45,5 Mb
Release : 2001-08
Category : Business & Economics
ISBN : 3540422897

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Relational Data Mining by Saso Dzeroski Pdf

As the first book devoted to relational data mining, this coherently written multi-author monograph provides a thorough introduction and systematic overview of the area. The first part introduces the reader to the basics and principles of classical knowledge discovery in databases and inductive logic programming; subsequent chapters by leading experts assess the techniques in relational data mining in a principled and comprehensive way; finally, three chapters deal with advanced applications in various fields and refer the reader to resources for relational data mining. This book will become a valuable source of reference for R&D professionals active in relational data mining. Students as well as IT professionals and ambitioned practitioners interested in learning about relational data mining will appreciate the book as a useful text and gentle introduction to this exciting new field.

Author : Sašo Džeroski,Bart Goethals,Panče Panov
Publisher : Springer Science & Business Media
Page : 456 pages
File Size : 50,6 Mb
Release : 2010-11-18
Category : Computers
ISBN : 9781441977380

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Inductive Databases and Constraint-Based Data Mining by Sašo Džeroski,Bart Goethals,Panče Panov Pdf

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.

Author : Shichao Zhang,Chengqi Zhang,Xindong Wu
Publisher : Springer Science & Business Media
Page : 233 pages
File Size : 52,7 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9780857293886

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Knowledge Discovery in Multiple Databases by Shichao Zhang,Chengqi Zhang,Xindong Wu Pdf

Many organizations have an urgent need of mining their multiple databases inherently distributed in branches (distributed data). In particular, as the Web is rapidly becoming an information flood, individuals and organizations can take into account low-cost information and knowledge on the Internet when making decisions. How to efficiently identify quality knowledge from different data sources has become a significant challenge. This challenge has attracted a great many researchers including the au thors who have developed a local pattern analysis, a new strategy for dis covering some kinds of potentially useful patterns that cannot be mined in traditional multi-database mining techniques. Local pattern analysis deliv ers high-performance pattern discovery from multiple databases. There has been considerable progress made on multi-database mining in such areas as hierarchical meta-learning, collective mining, database classification, and pe culiarity discovery. While these techniques continue to be future topics of interest concerning multi-database mining, this book focuses on these inter esting issues under the framework of local pattern analysis. The book is intended for researchers and students in data mining, dis tributed data analysis, machine learning, and anyone else who is interested in multi-database mining. It is also appropriate for use as a text supplement for broader courses that might also involve knowledge discovery in databases and data mining.

Author : Usama M. Fayyad
Publisher : Unknown
Page : 638 pages
File Size : 43,7 Mb
Release : 1996
Category : Computers
ISBN : UOM:39015037286955

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Advances in Knowledge Discovery and Data Mining by Usama M. Fayyad Pdf

Eight sections of this book span fundamental issues of knowledge discovery, classification and clustering, trend and deviation analysis, dependency derivation, integrated discovery systems, augumented database systems and application case studies. The appendices provide a list of terms used in the literature of the field of data mining and knowledge discovery in databases, and a list of online resources for the KDD researcher.

Author : Nada Lavrač,Saso Dzeroski
Publisher : Springer Science & Business Media
Page : 324 pages
File Size : 51,7 Mb
Release : 1997-09-03
Category : Computers
ISBN : 3540635149

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Inductive Logic Programming by Nada Lavrač,Saso Dzeroski Pdf

This book constitutes the strictly refereed post-workshop proceedings of the 6th International Workshop on Inductive Logic Programming, ILP-96, held in Stockholm, Sweden, in August 1996. The 21 full papers were carefully reviewed and selected for inclusion in the book in revised version. Also included is the invited contribution "Inductive logic programming for natural language processing" by Raymond J. Mooney. Among the topics covered are natural language learning, drug design, NMR and ECG analysis, glaucoma diagnosis, efficiency measures for implementations and database interaction, program synthesis, proof encoding and learning in the absence of negative data, and least generalizations under implication ordering.

Author : Jean-Francois Boulicaut,Luc De Raedt,Heikki Mannila
Publisher : Springer
Page : 0 pages
File Size : 42,9 Mb
Release : 2006-02-08
Category : Computers
ISBN : 3540313516

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Constraint-Based Mining and Inductive Databases by Jean-Francois Boulicaut,Luc De Raedt,Heikki Mannila Pdf

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.

Author : Anonim
Publisher : Unknown
Page : 510 pages
File Size : 44,6 Mb
Release : 1998
Category : Data mining
ISBN : UOM:39015047352201

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Principles of Data Mining and Knowledge Discovery by Anonim Pdf