Knowledge Discovery In Databases Pkdd 2005

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Knowledge Discovery in Databases: PKDD 2005

Author : Alípio Jorge,Luís Torgo,Pavel Brazdil,Rui Camacho,João Gama
Publisher : Springer Science & Business Media
Page : 738 pages
File Size : 47,9 Mb
Release : 2005-09-26
Category : Computers
ISBN : 9783540292449

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Knowledge Discovery in Databases: PKDD 2005 by Alípio Jorge,Luís Torgo,Pavel Brazdil,Rui Camacho,João Gama Pdf

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,Luís Torgo,Pavel Brazdil,Rui Camacho,João Gama
Publisher : Springer
Page : 738 pages
File Size : 55,6 Mb
Release : 2005-11-07
Category : Computers
ISBN : 9783540316657

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Knowledge Discovery in Databases: PKDD 2005 by Alípio Jorge,Luís Torgo,Pavel Brazdil,Rui Camacho,João Gama Pdf

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

Author : Nada Lavra,Dragan Gamberger,Hendrik Blockeel
Publisher : Unknown
Page : 530 pages
File Size : 43,7 Mb
Release : 2014-09-01
Category : Electronic
ISBN : 3662164019

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Knowledge Discovery in Databases by Nada Lavra,Dragan Gamberger,Hendrik Blockeel Pdf

Knowledge Discovery in Databases: PKDD 2006

Author : Johannes Fürnkranz,Tobias Scheffer,Myra Spiliopoulou
Publisher : Springer Science & Business Media
Page : 681 pages
File Size : 54,8 Mb
Release : 2006-09-15
Category : Computers
ISBN : 9783540453741

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Knowledge Discovery in Databases: PKDD 2006 by Johannes Fürnkranz,Tobias Scheffer,Myra Spiliopoulou Pdf

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 2004

Author : Jean-Francois Boulicaut,Floriana Esposito,Fosca Giannotti,Dino Pedreschi
Publisher : Springer Science & Business Media
Page : 578 pages
File Size : 43,6 Mb
Release : 2004-09-10
Category : Computers
ISBN : 9783540231080

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Knowledge Discovery in Databases: PKDD 2004 by Jean-Francois Boulicaut,Floriana Esposito,Fosca Giannotti,Dino Pedreschi Pdf

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 Inductive Databases

Author : Francesco Bonchi,Jean-Francois Boulicaut
Publisher : Springer
Page : 259 pages
File Size : 46,9 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.

Knowledge Discovery in Databases

Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 52,6 Mb
Release : 2006
Category : Data mining
ISBN : OCLC:1167670854

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Knowledge Discovery in Databases by Anonim Pdf

Knowledge Discovery in Inductive Databases

Author : Saso Dzeroski,Jan Struyf
Publisher : Springer
Page : 301 pages
File Size : 44,5 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.

Machine Learning: ECML 2005

Author : João Gama,Rui Camacho,Pavel Brazdil,Alípio Jorge,Luís Torgo
Publisher : Springer Science & Business Media
Page : 784 pages
File Size : 46,5 Mb
Release : 2005-09-22
Category : Computers
ISBN : 9783540292432

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Machine Learning: ECML 2005 by João Gama,Rui Camacho,Pavel Brazdil,Alípio Jorge,Luís Torgo Pdf

This book constitutes the refereed proceedings of the 16th European Conference on Machine Learning, ECML 2005, jointly held with PKDD 2005 in Porto, Portugal, in October 2005. The 40 revised full papers and 32 revised short papers presented together with abstracts of 6 invited talks were carefully reviewed and selected from 335 papers submitted to ECML and 30 papers submitted to both, ECML and PKDD. The papers present a wealth of new results in the area and address all current issues in machine learning.

Principles of Data Mining and Knowledge Discovery

Author : Jan Komorowski,Jan Zytkow
Publisher : Springer Science & Business Media
Page : 420 pages
File Size : 53,9 Mb
Release : 1997-06-13
Category : Business & Economics
ISBN : 3540632239

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Principles of Data Mining and Knowledge Discovery by Jan Komorowski,Jan Zytkow Pdf

This book constitutes the refereed proceedings of the First European Symposium on Principles of Data Mining and Knowledge Discovery, PKDD '97, held in Trondheim, Norway, in June 1997. The volume presents a total of 38 revised full papers together with abstracts of one invited talk and four tutorials. Among the topics covered are data and knowledge representation, statistical and probabilistic methods, logic-based approaches, man-machine interaction aspects, AI contributions, high performance computing support, machine learning, automated scientific discovery, quality assessment, and applications.

Statistical Implicative Analysis

Author : Régis Gras,Einoshin Suzuki,Fabrice Guillet,Filippo Spagnolo
Publisher : Springer
Page : 513 pages
File Size : 46,6 Mb
Release : 2008-07-06
Category : Technology & Engineering
ISBN : 9783540789833

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Statistical Implicative Analysis by Régis Gras,Einoshin Suzuki,Fabrice Guillet,Filippo Spagnolo Pdf

Statistical implicative analysis is a data analysis method created by Régis Gras almost thirty years ago which has a significant impact on a variety of areas ranging from pedagogical and psychological research to data mining. Statistical implicative analysis (SIA) provides a framework for evaluating the strength of implications; such implications are formed through common knowledge acquisition techniques in any learning process, human or artificial. This new concept has developed into a unifying methodology, and has generated a powerful convergence of thought between mathematicians, statisticians, psychologists, specialists in pedagogy and last, but not least, computer scientists specialized in data mining. This volume collects significant research contributions of several rather distinct disciplines that benefit from SIA. Contributions range from psychological and pedagogical research, bioinformatics, knowledge management, and data mining.

Learning from Imbalanced Data Sets

Author : Alberto Fernández,Salvador García,Mikel Galar,Ronaldo C. Prati,Bartosz Krawczyk,Francisco Herrera
Publisher : Springer
Page : 377 pages
File Size : 44,6 Mb
Release : 2018-10-22
Category : Computers
ISBN : 9783319980744

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Learning from Imbalanced Data Sets by Alberto Fernández,Salvador García,Mikel Galar,Ronaldo C. Prati,Bartosz Krawczyk,Francisco Herrera Pdf

This book provides a general and comprehensible overview of imbalanced learning. It contains a formal description of a problem, and focuses on its main features, and the most relevant proposed solutions. Additionally, it considers the different scenarios in Data Science for which the imbalanced classification can create a real challenge. This book stresses the gap with standard classification tasks by reviewing the case studies and ad-hoc performance metrics that are applied in this area. It also covers the different approaches that have been traditionally applied to address the binary skewed class distribution. Specifically, it reviews cost-sensitive learning, data-level preprocessing methods and algorithm-level solutions, taking also into account those ensemble-learning solutions that embed any of the former alternatives. Furthermore, it focuses on the extension of the problem for multi-class problems, where the former classical methods are no longer to be applied in a straightforward way. This book also focuses on the data intrinsic characteristics that are the main causes which, added to the uneven class distribution, truly hinders the performance of classification algorithms in this scenario. Then, some notes on data reduction are provided in order to understand the advantages related to the use of this type of approaches. Finally this book introduces some novel areas of study that are gathering a deeper attention on the imbalanced data issue. Specifically, it considers the classification of data streams, non-classical classification problems, and the scalability related to Big Data. Examples of software libraries and modules to address imbalanced classification are provided. This book is highly suitable for technical professionals, senior undergraduate and graduate students in the areas of data science, computer science and engineering. It will also be useful for scientists and researchers to gain insight on the current developments in this area of study, as well as future research directions.

Knowledge Discovery in Databases: PKDD 2006

Author : Johannes Fürnkranz,Tobias Scheffer,Myra Spiliopoulou
Publisher : Springer
Page : 660 pages
File Size : 48,5 Mb
Release : 2009-09-02
Category : Computers
ISBN : 3540830707

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Knowledge Discovery in Databases: PKDD 2006 by Johannes Fürnkranz,Tobias Scheffer,Myra Spiliopoulou Pdf

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.

Semantics, Web and Mining

Author : Markus Ackermann,Bettina Berendt,Marko Grobelnik,Andreas Hotho,Dunja Mladenic,Giovanni Semeraro,Myra Spiliopoulou,Gerd Stumme,Vojtech Svatek,Maarten van Someren
Publisher : Springer
Page : 196 pages
File Size : 45,9 Mb
Release : 2006-11-28
Category : Computers
ISBN : 9783540476986

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Semantics, Web and Mining by Markus Ackermann,Bettina Berendt,Marko Grobelnik,Andreas Hotho,Dunja Mladenic,Giovanni Semeraro,Myra Spiliopoulou,Gerd Stumme,Vojtech Svatek,Maarten van Someren Pdf

This book constitutes the thoroughly refereed and extended post-proceedings of the joint European Web Mining Forum, EWMF 2005, and the International Workshop on Knowledge Discovery and Ontologies, KDO 2005, held in association with ECML/PKDD in Porto, Portugal in October 2005. The 10 revised full papers presented together with one invited paper and one particularly fitting contribution from KDO 2004 were carefully selected for inclusion in the book.

Machine Learning and Data Mining in Pattern Recognition

Author : Petra Perner
Publisher : Springer Science & Business Media
Page : 927 pages
File Size : 40,6 Mb
Release : 2007-07-16
Category : Computers
ISBN : 9783540734987

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Machine Learning and Data Mining in Pattern Recognition by Petra Perner Pdf

Ever wondered what the state of the art is in machine learning and data mining? Well, now you can find out. This book constitutes the refereed proceedings of the 5th International Conference on Machine Learning and Data Mining in Pattern Recognition, held in Leipzig, Germany, in July 2007. The 66 revised full papers presented together with 1 invited talk were carefully reviewed and selected from more than 250 submissions. The papers are organized in topical sections.