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Titlebook: Machine Learning: ECML 2005; 16th European Confer Jo?o Gama,Rui Camacho,Luís Torgo Conference proceedings 2005 Springer-Verlag Berlin Heide

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書目名稱Machine Learning: ECML 2005
副標(biāo)題16th European Confer
編輯Jo?o Gama,Rui Camacho,Luís Torgo
視頻videohttp://file.papertrans.cn/621/620753/620753.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Machine Learning: ECML 2005; 16th European Confer Jo?o Gama,Rui Camacho,Luís Torgo Conference proceedings 2005 Springer-Verlag Berlin Heide
描述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
出版日期Conference proceedings 2005
關(guān)鍵詞Bayesian network; Boosting; Hidden Markov Model; Markov decision process; Support Vector Machine; algorit
版次1
doihttps://doi.org/10.1007/11564096
isbn_softcover978-3-540-29243-2
isbn_ebook978-3-540-31692-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2005
The information of publication is updating

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/m/image/620753.jpg
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978-3-540-29243-2Springer-Verlag Berlin Heidelberg 2005
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Machine Learning: ECML 2005978-3-540-31692-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Focus the Mining Beacon: Lessons and Challenges from the World of E-Commercenable domain, and measurable ROI, multiple companies use data mining and knowledge discovery to understand their customers and improve interactions.We present important lessons and challenges using e-commerce examples across two dimensions: (i) business-level to technical, and (ii) the mining lifecy
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