Titlebook: Advanced Data Mining and Applications; 9th International Co Hiroshi Motoda,Zhaohui Wu,Wei Wang Conference proceedings 2013 Springer-Verlag

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0302-9743 sociation rule mining, pattern mining, regression, predication, feature extraction, identification, privacy preservation, applications, and machine learning..978-3-642-53916-9978-3-642-53917-6Series ISSN 0302-9743 Series E-ISSN 1611-3349

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https://doi.org/10.1007/978-3-0346-0254-9sed objective and demonstrate it with real-life datasets. We also find that by using a particular algorithm called transfer algorithm, the proposed objective function can be efficiently solved. Thus our method is both efficient and effective.

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Berichte zur Lebensmittelsicherheit 2009be obtained using the latter approach, strongly suggesting that techniques of this kind should be employed if test data can be expected to be drawn from some other distribution than what is the origin of the training data.

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Conference proceedings 2013ng, data stream mining, sequential data mining, web mining, image mining, text mining, social network mining, classification, clustering, association rule mining, pattern mining, regression, predication, feature extraction, identification, privacy preservation, applications, and machine learning..

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https://doi.org/10.1007/978-3-0346-0205-1ly node decompression for restoring compressed information when needed. An experimental study with datasets commonly used in the data mining literature representing various types of data shows that MEIT are up to 60 % smaller than IT (43% on average).

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