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Titlebook: Machine Learning and Knowledge Discovery in Databases; European Conference, Dimitrios Gunopulos,Thomas Hofmann,Michalis Vazirg Conference p

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書目名稱Machine Learning and Knowledge Discovery in Databases
副標(biāo)題European Conference,
編輯Dimitrios Gunopulos,Thomas Hofmann,Michalis Vazirg
視頻videohttp://file.papertrans.cn/621/620520/620520.mp4
概述Fast-track conference proceedings.State-of-the-art research.Up-to-date results
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Machine Learning and Knowledge Discovery in Databases; European Conference, Dimitrios Gunopulos,Thomas Hofmann,Michalis Vazirg Conference p
描述This three-volume set LNAI 6911, LNAI 6912, and LNAI 6913 constitutes the refereed proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2011, held in Athens, Greece, in September 2011.The 121 revised full papers presented together with 10 invited talks and 11 demos in the three volumes, were carefully reviewed and selected from about 600 paper submissions. The papers address all areas related to machine learning and knowledge discovery in databases as well as other innovative application domains such as supervised and unsupervised learning with some innovative contributions in fundamental issues; dimensionality reduction, distance and similarity learning, model learning and matrix/tensor analysis; graph mining, graphical models, hidden markov models, kernel methods, active and ensemble learning, semi-supervised and transductive learning, mining sparse representations, model learning, inductive logic programming, and statistical learning. a significant part of the papers covers novel and timely applications of data mining and machine learning in industrial domains.
出版日期Conference proceedings 2011
關(guān)鍵詞decision theory; high-dimensional clustering; natural language processing; recommender systems; self-org
版次1
doihttps://doi.org/10.1007/978-3-642-23780-5
isbn_softcover978-3-642-23779-9
isbn_ebook978-3-642-23780-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag GmbH Berlin Heidelberg 2011
The information of publication is updating

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/m/image/620520.jpg
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Permutation Structure in 0-1 Datations, e.g., in ecology, there is structure in the data that becomes visible only when the rows and columns are permuted in a certain way. Examples of such structure are different forms of nestedness and bandedness. I review some of the applications, intuitions, results, and open problems in this area.
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Smart Cities: How Data Mining and Optimization Can Shape Future Citiesrgy, emit more than 80% of greenhouse gases, and lose as much as 20% of their water supply due to infrastructure leaks. As their urban populations continue to grow and these metrics increase, civic leaders face an unprecedented series of challenges to scale and optimize their infrastructures.
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