本書首先簡要介紹了R軟件的基礎(chǔ)知識（安裝、R數(shù)據(jù)結(jié)構(gòu)、R編程、R的輸入和輸出等）。然后通過四個數(shù)據(jù)挖掘的實際案例（藻類頻率的預測、證券趨勢預測和交易系統(tǒng)仿真、交易欺詐預測、微陣列數(shù)據(jù)分類）介紹數(shù)據(jù)挖掘技術(shù)。這四個案例基本覆蓋了常見的數(shù)據(jù)挖掘技術(shù)，從無監(jiān)督的數(shù)據(jù)挖掘技術(shù)、有監(jiān)督的數(shù)據(jù)挖掘技術(shù)到半監(jiān)督的數(shù)據(jù)挖掘技術(shù)。全書以實際問題、解決方案和對解決方案的討論為主線來組織內(nèi)容，脈絡清晰，并且各章自成體系。讀者可以從頭至尾逐章學習，也可以根據(jù)自己的需要進行學習，找到自己實際問題的解決方案。 本書不需要讀者具備R和數(shù)據(jù)挖掘的基礎(chǔ)知識。不管是R初學者，還是熟練的R用戶都能從書中找到對自己有用的內(nèi)容。讀者既可以把本書作為學習如何應用R的一本優(yōu)秀教材，也可以作為數(shù)據(jù)挖掘的工具書。Data Mining with R：Learning with Case Studies by Luís Torgo（ISBN978？1？4398？1018？7）.Copyright ？2011 byTaylor and Francis Group， LLC.Authorized translation from the English language edition publishedby CRC Press， part of Taylor & Francis Group LLC; All rightsreserved.China Machine Pressisauthorized to publish anddistribute exclusively the Chinese （Simplified Characters） languageedition？This edition is authorized for salein the People？sRepublic of China only （excluding Hong Kong， Macao SAR andTaiwan）.No part of this publication may be reproduced ordistributed in any form or by any means， or stored in a database orretrieval system， without the prior written permission of thepublisher.Copies of this book sold without a Taylor & Francis sticker onthe cover are unauthorized and illegal.
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