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As with any burgeoning technology that enjoys commercial attention, the use of data mining is surrounded by a great deal of hype. Exaggerated reports tell of secrets that can be uncovered by setting algorithms loose on oceans of data. But there is no magic in machine learning, no hidden power, no alchemy. Instead there is an identifiable body of practical techniques that can extract useful information from raw data. This book describes these techniques and shows how they work. The book is a major revision of the first edition that appeared in 1999. While the basic core remains the same, it has been updated to reflect the changes that have taken place over five years, and now has nearly double the references. The highlights for the new edition include thirty new technique sections; an enhanced Weka machine learning workbench, which now features an interactive interface; comprehensive information on neural networks; a new section on Bayesian networks; plus much more; algorithmic methods at the heart of successful data mining-including tried and true techniques as well as leading edge methods; performance improvement techniques that work by transforming the input or output; and, downloadable Weka, a collection of machine learning algorithms for data mining tasks, including tools for data pre-processing, classification, regression, clustering, association rules, and visualization-in a new, interactive interface.

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發表於2025-02-26

Data Mining 2025 pdf epub mobi 電子書下載

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這本書確實如所知道的那樣，翻譯得很水。很多一些概念的東西就像把你隔在某種屏障外，然後其實說的並不是那麼枯燥的東西………… 本書主要還是介紹機器學習的，用這本書的目的就是為瞭瞭解weka中算法實現的思想。從這點齣發這本書還算是比較值當的瞭，比官方的文檔確實還是要精...

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國內教科書都是先進來源、曆史、分類、發展、趨勢等。外國人寫的上來稍微介紹一下就像專業知識進軍啦

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作者可以說是享譽盛名，但是這本書寫齣來，基本上章法全無。理論和例子基本上沒有幾個是適閤入門者的，加上翻譯有些地方錶意不清。初階入門者看瞭的話，肯定一團迷霧。評論太短瞭嘛？評論太短瞭嘛？評論太短瞭嘛？評論太短瞭嘛？評論太短瞭嘛？評論太短瞭嘛？評論太短瞭嘛？評...

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出版者:Morgan Kaufmann

作者:Ian H. Witten

出品人:

頁數:560

譯者:

出版時間:2005-6-22

價格:USD 75.95

裝幀:Paperback

isbn號碼:9780120884070