Machine Learning and Knowledge Discovery in Databases

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Publisher : Springer
ISBN 13 : 3319712462
Total Pages : 881 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Machine Learning and Knowledge Discovery in Databases by : Michelangelo Ceci

Download or read book Machine Learning and Knowledge Discovery in Databases written by Michelangelo Ceci and published by Springer. This book was released on 2017-12-29 with total page 881 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three volume proceedings LNAI 10534 – 10536 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2017, held in Skopje, Macedonia, in September 2017. The total of 101 regular papers presented in part I and part II was carefully reviewed and selected from 364 submissions; there are 47 papers in the applied data science, nectar and demo track. The contributions were organized in topical sections named as follows: Part I: anomaly detection; computer vision; ensembles and meta learning; feature selection and extraction; kernel methods; learning and optimization, matrix and tensor factorization; networks and graphs; neural networks and deep learning. Part II: pattern and sequence mining; privacy and security; probabilistic models and methods; recommendation; regression; reinforcement learning; subgroup discovery; time series and streams; transfer and multi-task learning; unsupervised and semisupervised learning. Part III: applied data science track; nectar track; and demo track.

Knowledge Discovery in Databases: PKDD 2007

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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 Databases: PKDD 2004

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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).

Machine Learning and Knowledge Discovery in Databases

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Publisher : Springer Science & Business Media
ISBN 13 : 3642159389
Total Pages : 652 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Machine Learning and Knowledge Discovery in Databases by : José L. Balcázar

Download or read book Machine Learning and Knowledge Discovery in Databases written by José L. Balcázar and published by Springer Science & Business Media. This book was released on 2010-09-13 with total page 652 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2010, held in Barcelona, Spain, in September 2010. The 120 revised full papers presented in three volumes, together with 12 demos (out of 24 submitted demos), were carefully reviewed and selected from 658 paper submissions. In addition, 7 ML and 7 DM papers were distinguished by the program chairs on the basis of their exceptional scientific quality and high impact on the field. The conference intends to provide an international forum for the discussion of the latest high quality research results in all areas related to machine learning and knowledge discovery in databases. A topic widely explored from both ML and DM perspectives was graphs, with motivations ranging from molecular chemistry to social networks.

Machine Learning and Knowledge Discovery in Databases

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Publisher : Springer
ISBN 13 : 3319461311
Total Pages : 321 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Machine Learning and Knowledge Discovery in Databases by : Bettina Berendt

Download or read book Machine Learning and Knowledge Discovery in Databases written by Bettina Berendt and published by Springer. This book was released on 2016-09-02 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three volume set LNAI 9851, LNAI 9852, and LNAI 9853 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2016, held in Riva del Garda, Italy, in September 2016. The 123 full papers and 16 short papers presented were carefully reviewed and selected from a total of 460 submissions. The papers presented focus on practical and real-world studies of machine learning, knowledge discovery, data mining; innovative prototype implementations or mature systems that use machine learning techniques and knowledge discovery processes in a real setting; recent advances at the frontier of machine learning and data mining with other disciplines. Part I and Part II of the proceedings contain the full papers of the contributions presented in the scientific track and abstracts of the scientific plenary talks. Part III contains the full papers of the contributions presented in the industrial track, short papers describing demonstration, the nectar papers, and the abstracts of the industrial plenary talks.

Knowledge Discovery in Databases: PKDD 2006

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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.

Machine Learning and Knowledge Discovery in Databases

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Publisher : Springer
ISBN 13 : 3662448483
Total Pages : 749 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis Machine Learning and Knowledge Discovery in Databases by : Toon Calders

Download or read book Machine Learning and Knowledge Discovery in Databases written by Toon Calders and published by Springer. This book was released on 2014-09-01 with total page 749 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three-volume set LNAI 8724, 8725 and 8726 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2014, held in Nancy, France, in September 2014. The 115 revised research papers presented together with 13 demo track papers, 10 nectar track papers, 8 PhD track papers, and 9 invited talks were carefully reviewed and selected from 550 submissions. The papers cover the latest high-quality interdisciplinary research results in all areas related to machine learning and knowledge discovery in databases.

Knowledge Discovery in Databases: PKDD 2005

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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 2003

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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.

Machine Learning and Knowledge Discovery in Databases

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Publisher : Springer
ISBN 13 : 3642041809
Total Pages : 780 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Machine Learning and Knowledge Discovery in Databases by : Wray Buntine

Download or read book Machine Learning and Knowledge Discovery in Databases written by Wray Buntine and published by Springer. This book was released on 2009-08-28 with total page 780 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2009, held in Bled, Slovenia, in September 2009. The 106 papers presented in two volumes, together with 5 invited talks, were carefully reviewed and selected from 422 paper submissions. In addition to the regular papers the volume contains 14 abstracts of papers appearing in full version in the Machine Learning Journal and the Knowledge Discovery and Databases Journal of Springer. The conference intends to provide an international forum for the discussion of the latest high quality research results in all areas related to machine learning and knowledge discovery in databases. The topics addressed are application of machine learning and data mining methods to real-world problems, particularly exploratory research that describes novel learning and mining tasks and applications requiring non-standard techniques.

Machine Learning and Knowledge Discovery in Databases

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Publisher : Springer
ISBN 13 : 3319234617
Total Pages : 365 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Machine Learning and Knowledge Discovery in Databases by : Albert Bifet

Download or read book Machine Learning and Knowledge Discovery in Databases written by Albert Bifet and published by Springer. This book was released on 2015-08-28 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three volume set LNAI 9284, 9285, and 9286 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2015, held in Porto, Portugal, in September 2015. The 131 papers presented in these proceedings were carefully reviewed and selected from a total of 483 submissions. These include 89 research papers, 11 industrial papers, 14 nectar papers, 17 demo papers. They were organized in topical sections named: classification, regression and supervised learning; clustering and unsupervised learning; data preprocessing; data streams and online learning; deep learning; distance and metric learning; large scale learning and big data; matrix and tensor analysis; pattern and sequence mining; preference learning and label ranking; probabilistic, statistical, and graphical approaches; rich data; and social and graphs. Part III is structured in industrial track, nectar track, and demo track.

Principles of Data Mining and Knowledge Discovery

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Publisher : Springer Science & Business Media
ISBN 13 : 3540664904
Total Pages : 608 pages
Book Rating : 4.5/5 (46 download)

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Book Synopsis Principles of Data Mining and Knowledge Discovery by : Jan Zytkow

Download or read book Principles of Data Mining and Knowledge Discovery written by Jan Zytkow and published by Springer Science & Business Media. This book was released on 1999-09-01 with total page 608 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD'99, held in Prague, Czech Republic in September 1999. The 28 revised full papers and 48 poster presentations were carefully reviewed and selected from 106 full papers submitted. The papers are organized in topical sections on time series, applications, taxonomies and partitions, logic methods, distributed and multirelational databases, text mining and feature selection, rules and induction, and interesting and unusual issues.

Machine Learning and Knowledge Discovery in Databases

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Publisher : Springer
ISBN 13 : 3662448459
Total Pages : 565 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis Machine Learning and Knowledge Discovery in Databases by : Toon Calders

Download or read book Machine Learning and Knowledge Discovery in Databases written by Toon Calders and published by Springer. This book was released on 2014-09-01 with total page 565 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three-volume set LNAI 8724, 8725 and 8726 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2014, held in Nancy, France, in September 2014. The 115 revised research papers presented together with 13 demo track papers, 10 nectar track papers, 8 PhD track papers, and 9 invited talks were carefully reviewed and selected from 550 submissions. The papers cover the latest high-quality interdisciplinary research results in all areas related to machine learning and knowledge discovery in databases.

Machine Learning and Knowledge Discovery in Databases

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Publisher : Springer
ISBN 13 : 331946227X
Total Pages : 850 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Machine Learning and Knowledge Discovery in Databases by : Paolo Frasconi

Download or read book Machine Learning and Knowledge Discovery in Databases written by Paolo Frasconi and published by Springer. This book was released on 2016-09-03 with total page 850 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three volume set LNAI 9851, LNAI 9852, and LNAI 9853 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2016, held in Riva del Garda, Italy, in September 2016. The 123 full papers and 16 short papers presented were carefully reviewed and selected from a total of 460 submissions. The papers presented focus on practical and real-world studies of machine learning, knowledge discovery, data mining; innovative prototype implementations or mature systems that use machine learning techniques and knowledge discovery processes in a real setting; recent advances at the frontier of machine learning and data mining with other disciplines. Part I and Part II of the proceedings contain the full papers of the contributions presented in the scientific track and abstracts of the scientific plenary talks. Part III contains the full papers of the contributions presented in the industrial track, short papers describing demonstration, the nectar papers, and the abstracts of the industrial plenary talks.

Machine Learning and Knowledge Discovery in Databases

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Publisher : Springer
ISBN 13 : 331971273X
Total Pages : 473 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Machine Learning and Knowledge Discovery in Databases by : Yasemin Altun

Download or read book Machine Learning and Knowledge Discovery in Databases written by Yasemin Altun and published by Springer. This book was released on 2017-12-29 with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three volume proceedings LNAI 10534 – 10536 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2017, held in Skopje, Macedonia, in September 2017. The total of 101 regular papers presented in part I and part II was carefully reviewed and selected from 364 submissions; there are 47 papers in the applied data science, nectar and demo track. The contributions were organized in topical sections named as follows: Part I: anomaly detection; computer vision; ensembles and meta learning; feature selection and extraction; kernel methods; learning and optimization, matrix and tensor factorization; networks and graphs; neural networks and deep learning. Part II: pattern and sequence mining; privacy and security; probabilistic models and methods; recommendation; regression; reinforcement learning; subgroup discovery; time series and streams; transfer and multi-task learning; unsupervised and semisupervised learning. Part III: applied data science track; nectar track; and demo track.

Machine Learning and Knowledge Discovery in Databases

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Publisher : Springer Science & Business Media
ISBN 13 : 3642041736
Total Pages : 787 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Machine Learning and Knowledge Discovery in Databases by : Wray Buntine

Download or read book Machine Learning and Knowledge Discovery in Databases written by Wray Buntine and published by Springer Science & Business Media. This book was released on 2009-09-03 with total page 787 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2009, held in Bled, Slovenia, in September 2009. The 106 papers presented in two volumes, together with 5 invited talks, were carefully reviewed and selected from 422 paper submissions. In addition to the regular papers the volume contains 14 abstracts of papers appearing in full version in the Machine Learning Journal and the Knowledge Discovery and Databases Journal of Springer. The conference intends to provide an international forum for the discussion of the latest high quality research results in all areas related to machine learning and knowledge discovery in databases. The topics addressed are application of machine learning and data mining methods to real-world problems, particularly exploratory research that describes novel learning and mining tasks and applications requiring non-standard techniques.

Machine Learning and Knowledge Discovery in Databases

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Publisher : Springer
ISBN 13 : 3642158838
Total Pages : 538 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Machine Learning and Knowledge Discovery in Databases by : José L. Balcázar

Download or read book Machine Learning and Knowledge Discovery in Databases written by José L. Balcázar and published by Springer. This book was released on 2010-08-17 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt: The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2010, was held in Barcelona, September 20–24, 2010, consolidating the long junction between the European Conference on Machine Learning (of which the ?rst instance as European wo- shop dates back to 1986) and Principles and Practice of Knowledge Discovery in Data Bases (of which the ?rst instance dates back to 1997). Since the two conferences were ?rst collocated in 2001, both machine learning and data m- ing communities have realized how each discipline bene?ts from the advances, and participates to de?ning the challenges, of the sister discipline. Accordingly, a single ECML PKDD Steering Committee gathering senior members of both communities was appointed in 2008. In 2010, as in previous years, ECML PKDD lasted from Monday to F- day. It involved six plenary invited talks, by Christos Faloutsos, Jiawei Han, Hod Lipson, Leslie Pack Kaelbling, Tomaso Poggio, and Jur ̈ gen Schmidhuber, respectively. Monday and Friday were devoted to workshops and tutorials, or- nized and selected by Colin de la Higuera and Gemma Garriga.Continuing from ECML PKDD 2009, an industrial session managed by Taneli Mielikainen and Hugo Zaragoza welcomed distinguished speakers from the ML and DM ind- try: Rakesh Agrawal, Mayank Bawa, Ignasi Belda, Michael Berthold, Jos ́eLuis Fl ́ orez, ThoreGraepel, andAlejandroJaimes.Theconferencealsofeaturedad- coverychallenge, organizedbyAndr ́ asBenczur ́, CarlosCastillo, Zolt ́ anGyon ̈ gyi, and Julien Masan' es.