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Knowledge Discovery from Data Streams破盤出清
網友評鑑4顆星，買過的朋友都說物超所值
博客來電腦-計算機概論 分類優質好書
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| Gama (artificial intelligence, U. of Porto, Portugal) explores methods of extracting knowledge from data sets that are too large and too dynamic to be squeezed into a conventional database. He introduces the concept and features of data streams then discusses detecting change, maintaining histograms from data streams, evaluating streaming algorithms, clustering from data streams, frequent pattern mining, decision trees, detecting novelty, ensembles of classifiers, time series data streams, and ubiquitous data mining. His final chapter forecasts the next generation of knowledge discovery. Annotation 穢2010 Book News, Inc., Portland, OR (booknews.com) |
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