| 書目名稱 | Principles of Data Mining and Knowledge Discovery | | 副標(biāo)題 | 5th European Confere | | 編輯 | Luc Raedt,Arno Siebes | | 視頻video | http://file.papertrans.cn/756/755519/755519.mp4 | | 概述 | Includes supplementary material: | | 叢書名稱 | Lecture Notes in Computer Science | | 圖書封面 |  | | 描述 | This book constitutes the refereed proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery, PKDD 2001, held in Freiburg, Germany, in September 2001..The 40 revised full papers presented together with four invited contributions were carefully reviewed and selected from close to 100 submissions. Among the topics addressed are hidden Markov models, text summarization, supervised learning, unsupervised learning, demographic data analysis, phenotype data mining, spatio-temporal clustering, Web-usage analysis, association rules, clustering algorithms, time series analysis, rule discovery, text categorization, self-organizing maps, filtering, reinforcemant learning, support vector machines, visual data mining, and machine learning. | | 出版日期 | Conference proceedings 2001 | | 關(guān)鍵詞 | algorithms; data mining; hidden Markov model; knowledge; knowledge discovery; learning; machine learning | | 版次 | 1 | | doi | https://doi.org/10.1007/3-540-44794-6 | | isbn_softcover | 978-3-540-42534-2 | | isbn_ebook | 978-3-540-44794-8Series ISSN 0302-9743 Series E-ISSN 1611-3349 | | issn_series | 0302-9743 | | copyright | Springer-Verlag Berlin Heidelberg 2001 |
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