Knowledge Discovery In Databases Pkdd 2005

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Knowledge Discovery in Databases: PKDD 2005

Author : Alípio Jorge
Publisher : Springer
ISBN 13 : 3540316655
Total Pages : 738 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Knowledge Discovery in Databases: PKDD 2005 by : Alípio Jorge

Download or read book Knowledge Discovery in Databases: PKDD 2005 written by Alípio Jorge and published by Springer. This book was released on 2005-11-07 with total page 738 pages. Available in PDF, EPUB and Kindle. Book excerpt: The European Conference on Machine Learning (ECML) and the European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD) were jointly organized this year for the ?fth time in a row, after some years of mutual independence before. After Freiburg (2001), Helsinki (2002), Cavtat (2003) and Pisa (2004), Porto received the 16th edition of ECML and the 9th PKDD in October 3–7. Having the two conferences together seems to be working well: 585 di?erent paper submissions were received for both events, which maintains the high s- mission standard of last year. Of these, 335 were submitted to ECML only, 220 to PKDD only and 30 to both. Such a high volume of scienti?c work required a tremendous e?ort from Area Chairs, Program Committee members and some additional reviewers. On average, PC members had 10 papers to evaluate, and Area Chairs had 25 papers to decide upon. We managed to have 3 highly qua- ?edindependentreviewsperpaper(withveryfewexceptions)andoneadditional overall input from one of the Area Chairs. After the authors’ responses and the online discussions for many of the papers, we arrived at the ?nal selection of 40 regular papers for ECML and 35 for PKDD. Besides these, 32 others were accepted as short papers for ECML and 35 for PKDD. This represents a joint acceptance rate of around 13% for regular papers and 25% overall. We thank all involved for all the e?ort with reviewing and selection of papers. Besidesthecoretechnicalprogram,ECMLandPKDDhad6invitedspeakers, 10 workshops, 8 tutorials and a Knowledge Discovery Challenge.

Knowledge Discovery in Databases: PKDD 2005

Author : Alípio Jorge
Publisher : Springer Science & Business Media
ISBN 13 : 3540292446
Total Pages : 738 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Knowledge Discovery in Databases: PKDD 2005 by : Alípio Jorge

Download or read book Knowledge Discovery in Databases: PKDD 2005 written by Alípio Jorge and published by Springer Science & Business Media. This book was released on 2005-09-26 with total page 738 pages. Available in PDF, EPUB and Kindle. Book excerpt: The European Conference on Machine Learning (ECML) and the European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD) were jointly organized this year for the ?fth time in a row, after some years of mutual independence before. After Freiburg (2001), Helsinki (2002), Cavtat (2003) and Pisa (2004), Porto received the 16th edition of ECML and the 9th PKDD in October 3–7. Having the two conferences together seems to be working well: 585 di?erent paper submissions were received for both events, which maintains the high s- mission standard of last year. Of these, 335 were submitted to ECML only, 220 to PKDD only and 30 to both. Such a high volume of scienti?c work required a tremendous e?ort from Area Chairs, Program Committee members and some additional reviewers. On average, PC members had 10 papers to evaluate, and Area Chairs had 25 papers to decide upon. We managed to have 3 highly qua- ?edindependentreviewsperpaper(withveryfewexceptions)andoneadditional overall input from one of the Area Chairs. After the authors’ responses and the online discussions for many of the papers, we arrived at the ?nal selection of 40 regular papers for ECML and 35 for PKDD. Besides these, 32 others were accepted as short papers for ECML and 35 for PKDD. This represents a joint acceptance rate of around 13% for regular papers and 25% overall. We thank all involved for all the e?ort with reviewing and selection of papers. Besidesthecoretechnicalprogram,ECMLandPKDDhad6invitedspeakers, 10 workshops, 8 tutorials and a Knowledge Discovery Challenge.

Knowledge Discovery in Databases: PKDD 2006

Author : Johannes Fürnkranz
Publisher : Springer
ISBN 13 : 3540460489
Total Pages : 681 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Knowledge Discovery in Databases: PKDD 2006 by : Johannes Fürnkranz

Download or read book Knowledge Discovery in Databases: PKDD 2006 written by Johannes Fürnkranz and published by Springer. This book was released on 2006-09-21 with total page 681 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Advances in Knowledge Discovery in Databases

Author : Animesh Adhikari
Publisher : Springer
ISBN 13 : 3319132121
Total Pages : 377 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Advances in Knowledge Discovery in Databases by : Animesh Adhikari

Download or read book Advances in Knowledge Discovery in Databases written by Animesh Adhikari and published by Springer. This book was released on 2014-12-27 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Knowledge Discovery in Databases: PKDD 2004

Author : Jean-Francois Boulicaut
Publisher : Springer
ISBN 13 : 354030116X
Total Pages : 578 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Knowledge Discovery in Databases: PKDD 2004 by : Jean-Francois Boulicaut

Download or read book Knowledge Discovery in Databases: PKDD 2004 written by Jean-Francois Boulicaut and published by Springer. This book was released on 2004-11-03 with total page 578 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proceedings of ECML/PKDD 2004 are published in two separate, albeit - tertwined, volumes:theProceedingsofthe 15thEuropeanConferenceonMac- ne Learning (LNAI 3201) and the Proceedings of the 8th European Conferences on Principles and Practice of Knowledge Discovery in Databases (LNAI 3202). The two conferences were co-located in Pisa, Tuscany, Italy during September 20-24, 2004. It was the fourth time in a row that ECML and PKDD were co-located. - ter the successful co-locations in Freiburg (2001), Helsinki (2002), and Cavtat- Dubrovnik (2003), it became clear that researchersstrongly supported the or- nization of a major scienti?c event about machine learning and data mining in Europe. We are happy to provide some statistics about the conferences. 581 di?erent papers were submitted to ECML/PKDD (about a 75% increase over 2003); 280 weresubmittedtoECML2004only,194weresubmittedtoPKDD2004only, and 107weresubmitted to both. Aroundhalfofthe authorsforsubmitted papersare from outside Europe, which is a clear indicator of the increasing attractiveness of ECML/PKDD. The Program Committee members were deeply involved in what turned out to be a highly competitive selection process. We assigned each paper to 3 - viewers, deciding on the appropriate PC for papers submitted to both ECML and PKDD. As a result, ECML PC members reviewed 312 papers and PKDD PC members reviewed 269 papers. We accepted for publication regular papers (45 for ECML 2004 and 39 for PKDD 2004) and short papers that were as- ciated with poster presentations (6 for ECML 2004 and 9 for PKDD 2004). The globalacceptance ratewas14.5%for regular papers(17% if we include the short papers).

Knowledge Discovery in Databases: PKDD ...

Author :
Publisher :
ISBN 13 :
Total Pages : 540 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Knowledge Discovery in Databases: PKDD ... by :

Download or read book Knowledge Discovery in Databases: PKDD ... written by and published by . This book was released on 2003 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Knowledge Discovery in Databases: PKDD 2007

Author : Joost N. Kok
Publisher : Springer Science & Business Media
ISBN 13 : 3540749756
Total Pages : 660 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Knowledge Discovery in Databases: PKDD 2007 by : Joost N. Kok

Download or read book Knowledge Discovery in Databases: PKDD 2007 written by Joost N. Kok and published by Springer Science & Business Media. This book was released on 2007-08-31 with total page 660 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Knowledge Discovery in Inductive Databases

Author : Francesco Bonchi
Publisher : Springer Science & Business Media
ISBN 13 : 3540332928
Total Pages : 259 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Knowledge Discovery in Inductive Databases by : Francesco Bonchi

Download or read book Knowledge Discovery in Inductive Databases written by Francesco Bonchi and published by Springer Science & Business Media. This book was released on 2006-03-31 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Principles of Data Mining and Knowledge Discovery

Author : Djamel A. Zighed
Publisher : Springer Science & Business Media
ISBN 13 : 354041066X
Total Pages : 717 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Principles of Data Mining and Knowledge Discovery by : Djamel A. Zighed

Download or read book Principles of Data Mining and Knowledge Discovery written by Djamel A. Zighed and published by Springer Science & Business Media. This book was released on 2000-09-06 with total page 717 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 4th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2000, held in Lyon, France in September 2000. The 86 revised papers included in the book correspond to the 29 oral presentations and 57 posters presented at the conference. They were carefully reviewed and selected from 147 submissions. The book offers topical sections on new directions, rules and trees, databases and reward-based learning, classification, association rules and exceptions, instance-based discovery, clustering, and time series analysis.

Knowledge Discovery in Inductive Databases

Author : Saso Dzeroski
Publisher : Springer
ISBN 13 : 3540755497
Total Pages : 310 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Knowledge Discovery in Inductive Databases by : Saso Dzeroski

Download or read book Knowledge Discovery in Inductive Databases written by Saso Dzeroski and published by Springer. This book was released on 2007-09-29 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 2003

Author : Nada Lavrač
Publisher : Springer Science & Business Media
ISBN 13 : 3540200851
Total Pages : 525 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Knowledge Discovery in Databases: PKDD 2003 by : Nada Lavrač

Download or read book Knowledge Discovery in Databases: PKDD 2003 written by Nada Lavrač and published by Springer Science & Business Media. This book was released on 2003-09-11 with total page 525 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2003, held in Cavtat-Dubrovnik, Croatia in September 2003 in conjunction with ECML 2003. The 40 revised full papers presented together with 4 invited contributions were carefully reviewed and, together with another 40 ones for ECML 2003, selected from a total of 332 submissions. The papers address all current issues in data mining and knowledge discovery in databases including data mining tools, association rule mining, classification, clustering, pattern mining, multi-relational classifiers, boosting, kernel methods, learning Bayesian networks, inductive logic programming, user preferences mining, time series analysis, multi-view learning, support vector machine, pattern mining, relational learning, categorization, information extraction, decision making, prediction, and decision trees.

Knowledge Discovery in Inductive Databases

Author : Arno Siebes
Publisher : Springer
ISBN 13 : 3540318410
Total Pages : 197 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Knowledge Discovery in Inductive Databases by : Arno Siebes

Download or read book Knowledge Discovery in Inductive Databases written by Arno Siebes and published by Springer. This book was released on 2005-02-09 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Advanced Methods for Knowledge Discovery from Complex Data

Author : Ujjwal Maulik
Publisher : Springer Science & Business Media
ISBN 13 : 1846282845
Total Pages : 375 pages
Book Rating : 4.8/5 (462 download)

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Book Synopsis Advanced Methods for Knowledge Discovery from Complex Data by : Ujjwal Maulik

Download or read book Advanced Methods for Knowledge Discovery from Complex Data written by Ujjwal Maulik and published by Springer Science & Business Media. This book was released on 2006-05-06 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: The growth in the amount of data collected and generated has exploded in recent times with the widespread automation of various day-to-day activities, advances in high-level scienti?c and engineering research and the development of e?cient data collection tools. This has given rise to the need for automa- callyanalyzingthedatainordertoextractknowledgefromit,therebymaking the data potentially more useful. Knowledge discovery and data mining (KDD) is the process of identifying valid, novel, potentially useful and ultimately understandable patterns from massive data repositories. It is a multi-disciplinary topic, drawing from s- eral ?elds including expert systems, machine learning, intelligent databases, knowledge acquisition, case-based reasoning, pattern recognition and stat- tics. Many data mining systems have typically evolved around well-organized database systems (e.g., relational databases) containing relevant information. But, more and more, one ?nds relevant information hidden in unstructured text and in other complex forms. Mining in the domains of the world-wide web, bioinformatics, geoscienti?c data, and spatial and temporal applications comprise some illustrative examples in this regard. Discovery of knowledge, or potentially useful patterns, from such complex data often requires the - plication of advanced techniques that are better able to exploit the nature and representation of the data. Such advanced methods include, among o- ers, graph-based and tree-based approaches to relational learning, sequence mining, link-based classi?cation, Bayesian networks, hidden Markov models, neural networks, kernel-based methods, evolutionary algorithms, rough sets and fuzzy logic, and hybrid systems. Many of these methods are developed in the following chapters.

Knowledge Discovery in Multiple Databases

Author : Shichao Zhang
Publisher : Springer Science & Business Media
ISBN 13 : 0857293885
Total Pages : 237 pages
Book Rating : 4.8/5 (572 download)

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Book Synopsis Knowledge Discovery in Multiple Databases by : Shichao Zhang

Download or read book Knowledge Discovery in Multiple Databases written by Shichao Zhang and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Knowledge Discovery in Databases

Author : Nada Lavra
Publisher :
ISBN 13 : 9783662164013
Total Pages : 530 pages
Book Rating : 4.1/5 (64 download)

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Book Synopsis Knowledge Discovery in Databases by : Nada Lavra

Download or read book Knowledge Discovery in Databases written by Nada Lavra and published by . This book was released on 2014-09-01 with total page 530 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Knowledge Discovery in Databases: PKDD 2006

Author : Johannes Fürnkranz
Publisher : Springer
ISBN 13 : 9783540460480
Total Pages : 0 pages
Book Rating : 4.4/5 (64 download)

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Book Synopsis Knowledge Discovery in Databases: PKDD 2006 by : Johannes Fürnkranz

Download or read book Knowledge Discovery in Databases: PKDD 2006 written by Johannes Fürnkranz and published by Springer. This book was released on 2006-09-21 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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: PKDD 2006

Author : Johannes Fürnkranz
Publisher : Springer
ISBN 13 : 9783540453741
Total Pages : 660 pages
Book Rating : 4.4/5 (537 download)

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Book Synopsis Knowledge Discovery in Databases: PKDD 2006 by : Johannes Fürnkranz

Download or read book Knowledge Discovery in Databases: PKDD 2006 written by Johannes Fürnkranz and published by Springer. This book was released on 2006-09-15 with total page 660 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.