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Anand Rajaraman
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Mining of Massive Datasets ハードカバー – 2011/10/27

英語版 Anand Rajaraman (著), Jeffrey David Ullman (著)
3.9 5つ星のうち3.9 15個の評価
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Mining of Massive Datasets
Mining of Massive Datasets
￥13,990
(24)
通常7～8日以内に発送します。
The popularity of the Web and Internet commerce provides many extremely large datasets from which information can be gleaned by data mining. This book focuses on practical algorithms that have been used to solve key problems in data mining and which can be used on even the largest datasets. It begins with a discussion of the map-reduce framework, an important tool for parallelizing algorithms automatically. The authors explain the tricks of locality-sensitive hashing and stream processing algorithms for mining data that arrives too fast for exhaustive processing. The PageRank idea and related tricks for organizing the Web are covered next. Other chapters cover the problems of finding frequent itemsets and clustering. The final chapters cover two applications: recommendation systems and Web advertising, each vital in e-commerce. Written by two authorities in database and Web technologies, this book is essential reading for students and practitioners alike.
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  1. 本の長さ
    326ページ
  2. 言語
    英語
  3. 出版社
    Cambridge University Press
  4. 発売日
    2011/10/27
  5. 寸法
    18.42 x 2.54 x 25.4 cm
  6. ISBN-10
    1107015359
  7. ISBN-13
    978-1107015357
  8. すべての詳細を表示
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商品の説明

著者について

Anand Rajaraman is CEO of Kosmix Inc., a website which organizes the Internet by topic. He is also a consulting assistant professor in the Computer Science Department at Stanford University. In 1996, together with four other engineers, Rajaraman founded Junglee Corp., which pioneered Internet comparison shopping. It was acquired by Amazon.com Inc. in August 1998 for 1.6 million shares of stock valued at $250 million. Rajaraman went on to become Director of Technology at Amazon.com, where he was responsible for technology strategy. He helped launch the transformation of Amazon.com from a retailer into a retail platform, enabling third-party retailers to sell on Amazon.com's website. Third-party transactions now account for almost 25% of all US transactions, and represent Amazon's fastest-growing and most profitable business segment. Rajaraman was also an inventor of the concept underlying Amazon.com's Mechanical Turk. Rajaraman and his business partner, Venky Harinarayan, co-founded Cambrian Ventures, an early stage VC fund, in 2000. Cambrian went on to back several companies later acquired by Google and has funded companies like Mobissimo, Aster Data Systems and TheFind.com.

Jeffrey David Ullman is the Stanford W. Ascherman Professor of Computer Science (Emeritus) at Stanford University. He is also the CEO of Gradiance. Ullman's research interests include database theory, data integration, data mining and education using the information infrastructure. He is one of the founders of the field of database theory and was the doctoral advisor of an entire generation of students who later became leading database theorists in their own right. He was also the Ph.D. advisor of Sergey Brin, one of the co-founders of Google, and served on Google's technical advisory board. In 1995 he was inducted as a Fellow of the Association for Computing Machinery and in 2000 he was awarded the Knuth Prize. Ullman is also the co-recipient (with John Hopcroft) of the 2010 IEEE John von Neumann Medal, for 'laying the foundations for the fields of automata and language theory and many seminal contributions to theoretical computer science'.

登録情報

  • 出版社 ‏ : ‎ Cambridge University Press (2011/10/27)
  • 発売日 ‏ : ‎ 2011/10/27
  • 言語 ‏ : ‎ 英語
  • ハードカバー ‏ : ‎ 326ページ
  • ISBN-10 ‏ : ‎ 1107015359
  • ISBN-13 ‏ : ‎ 978-1107015357
  • 寸法 ‏ : ‎ 18.42 x 2.54 x 25.4 cm
  • カスタマーレビュー:
    3.9 5つ星のうち3.9 15個の評価

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Muhammad Anis uddin Nasir
5つ星のうち5.0 Five Stars
2016年10月24日に英国でレビュー済み
Amazonで購入
Delivered as expected.
レポート
Liaosa
5つ星のうち5.0 The authors of this book also host a free online ...
2015年2月15日にアメリカ合衆国でレビュー済み
Amazonで購入
The authors of this book also host a free online course on Coursera.org. [...] I purchased this text as a companion of this course. It quite helps understand the materials covered in this online course and not difficult to read. I hope in the future, the authors can add some practical implementation of the algorithm discussed in the text.
1人のお客様がこれが役に立ったと考えています
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Sooraj Raveendran
5つ星のうち5.0 No doubt an excellent book for beginners in data mining
2015年7月21日にインドでレビュー済み
Amazonで購入
No doubt an excellent book for beginners in data mining. The low price of the South Asian edition makes it more affordable than almost any other book on this topic. True "value for money" although I don't think that's a good measure to evaluate books :). However, the online edition that is freely available is newer and has more/updated content. Maybe I'm too old for this world, but I love paper books - so this is still a valuable possession for me.
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Riccardo
5つ星のうち3.0 Contenuti soddisfacenti ma pessima stampa
2013年7月4日にイタリアでレビュー済み
Amazonで購入
E' un buon libro sul data mining, scritto da uno dei piu' famosi docenti del settore, che insegna a Stanford. L'edizione che mi è stata recapitata però è di pessimo livello: poco inchiostro, caratteri troppo chiari e testo praticamente illegibile.
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Mayank Kedia
5つ星のうち4.0 Great book, older edition though
2015年4月7日にインドでレビュー済み
Amazonで購入
Its a older version though. The new version has at least 4 more chapters. Nevertheless the book is pretty awesome.
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