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Frank, Eibe
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Online estimation of discrete, continuous, and conditional joint densities using classifier chains
Geilke M., Karwath A., Frank E., Kramer S. Data Mining and Knowledge Discovery 32(3): 561-603, 2018. Type: Article
When considering data streams, the entire data stream is not available in one shot and estimates are needed, thus it is difficult to apply traditional data analysis methods. Traditional data mining algorithms operate on the full datase...
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Dec 6 2018
Data mining: practical machine learning tools and techniques (4th ed.)
Witten I., Frank E., Hall M., Pal C., Morgan Kaufmann Publishers Inc., San Francisco, CA, 2016. 654 pp. Type: Book (978-0-128042-91-5)
The commercial importance of data mining has led to a plethora of books on the subject, but few volumes prove their value sufficiently to warrant a fourth edition. The first edition of this book appeared in 2000, from the machine learn...
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Nov 7 2017
Data mining: practical machine learning tools and techniques (3rd ed.)
Witten I., Frank E., Hall M., Morgan Kaufmann Publishers Inc., San Francisco, CA, 2011. 664 pp. Type: Book (978-0-123748-56-0)
When the authors of the Waikato Environment for Knowledge Analysis (Weka), a well-known and widely used data mining toolkit, teamed up to write a book on data mining techniques, the expectations were high. This third edition meets thes...
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Sep 14 2011
Predicting Library of Congress classifications from Library of Congress subject headings
Frank E., Paynter G. Journal of the American Society for Information Science and Technology 55(3): 214-227, 2004. Type: Article
The automation of classification processes is a pressing problem in the current information/communication technology environment. This paper, on classification prediction using US Library of Congress classifications and subject heading...
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Jul 7 2005
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