Knowledge Discovery In Databases Pkdd 2006


Knowledge Discovery In Databases Pkdd 2006
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Knowledge Discovery In Databases Pkdd 2006


Knowledge Discovery In Databases Pkdd 2006
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Author : Johannes Fürnkranz
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-09-15

Knowledge Discovery In Databases Pkdd 2006 written by Johannes Fürnkranz 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 2006-09-15 with Computers categories.


This book constitutes the refereed proceedings of the 10th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2006. The book presents 36 revised full papers and 26 revised short papers together with abstracts of 5 invited talks, carefully reviewed and selected from 564 papers submitted. The papers offer a wealth of new results in knowledge discovery in databases and address all current issues in the area.



Knowledge Discovery In Databases


Knowledge Discovery In Databases
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Author :
language : en
Publisher:
Release Date : 2006

Knowledge Discovery In 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 Databases Pkdd 2006


Knowledge Discovery In Databases Pkdd 2006
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Author : Johannes Fürnkranz
language : en
Publisher: Springer
Release Date : 2009-09-02

Knowledge Discovery In Databases Pkdd 2006 written by Johannes Fürnkranz and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-02 with Computers categories.


This book constitutes the refereed proceedings of the 10th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2006. The book presents 36 revised full papers and 26 revised short papers together with abstracts of 5 invited talks, carefully reviewed and selected from 564 papers submitted. The papers offer a wealth of new results in knowledge discovery in databases and address all current issues in the area.



Knowledge Discovery In Inductive Databases


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 Databases Pkdd 2006


Knowledge Discovery In Databases Pkdd 2006
DOWNLOAD

Author : Johannes Fürnkranz
language : en
Publisher: Springer
Release Date : 2006-09-21

Knowledge Discovery In Databases Pkdd 2006 written by Johannes Fürnkranz and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-09-21 with Computers categories.


This book constitutes the refereed proceedings of the 10th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2006. The book presents 36 revised full papers and 26 revised short papers together with abstracts of 5 invited talks, carefully reviewed and selected from 564 papers submitted. The papers offer a wealth of new results in knowledge discovery in databases and address all current issues in the area.



Knowledge Discovery In Databases


Knowledge Discovery In Databases
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Author : Nada Lavra
language : en
Publisher:
Release Date : 2014-09-01

Knowledge Discovery In Databases written by Nada Lavra and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-01 with categories.




Knowledge Discovery In Databases Pkdd 2004


Knowledge Discovery In Databases Pkdd 2004
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Author : Jean-Francois Boulicaut
language : en
Publisher: Springer Science & Business Media
Release Date : 2004-09-10

Knowledge Discovery In Databases Pkdd 2004 written by Jean-Francois Boulicaut 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 2004-09-10 with Computers categories.


This book constitutes the refereed proceedings of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2004, held in Pisa, Italy, in September 2004 jointly with ECML 2004. The 39 revised full papers and 9 revised short papers presented together with abstracts of 5 invited talks were carefully reviewed and selected from 194 papers submitted to PKDD and 107 papers submitted to both, PKDD and ECML. The papers present a wealth of new results in knowledge discovery in databases and address all current issues in the area.



Knowledge Discovery In Databases Pkdd 2007


Knowledge Discovery In Databases Pkdd 2007
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Author : Joost N. Kok
language : en
Publisher: Springer
Release Date : 2007-08-30

Knowledge Discovery In Databases Pkdd 2007 written by Joost N. Kok and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-08-30 with Computers categories.


This book constitutes the refereed proceedings of the 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2007, held in Warsaw, Poland, co-located with ECML 2007, the 18th European Conference on Machine Learning. The 28 revised full papers and 35 revised short papers present original results on leading-edge subjects of knowledge discovery from conventional and complex data and address all current issues in the area.



Privacy Preserving Data Mining


Privacy Preserving Data Mining
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Author : Jaideep Vaidya
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-09-28

Privacy Preserving Data Mining written by Jaideep Vaidya 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 2006-09-28 with Computers categories.


Privacy preserving data mining implies the "mining" of knowledge from distributed data without violating the privacy of the individual/corporations involved in contributing the data. This volume provides a comprehensive overview of available approaches, techniques and open problems in privacy preserving data mining. Crystallizing much of the underlying foundation, the book aims to inspire further research in this new and growing area. Privacy Preserving Data Mining is intended to be accessible to industry practitioners and policy makers, to help inform future decision making and legislation, and to serve as a useful technical reference.



Machine Learning And Knowledge Discovery In Databases


Machine Learning And Knowledge Discovery In Databases
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Author : Peter A. Flach
language : en
Publisher: Springer
Release Date : 2012-09-11

Machine Learning And Knowledge Discovery In Databases written by Peter A. Flach and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09-11 with Computers categories.


This two-volume set LNAI 7523 and LNAI 7524 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2012, held in Bristol, UK, in September 2012. The 105 revised research papers presented together with 5 invited talks were carefully reviewed and selected from 443 submissions. The final sections of the proceedings are devoted to Demo and Nectar papers. The Demo track includes 10 papers (from 19 submissions) and the Nectar track includes 4 papers (from 14 submissions). The papers grouped in topical sections on association rules and frequent patterns; Bayesian learning and graphical models; classification; dimensionality reduction, feature selection and extraction; distance-based methods and kernels; ensemble methods; graph and tree mining; large-scale, distributed and parallel mining and learning; multi-relational mining and learning; multi-task learning; natural language processing; online learning and data streams; privacy and security; rankings and recommendations; reinforcement learning and planning; rule mining and subgroup discovery; semi-supervised and transductive learning; sensor data; sequence and string mining; social network mining; spatial and geographical data mining; statistical methods and evaluation; time series and temporal data mining; and transfer learning.