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Mining of Massive Datasets 作者: Jure Leskovec / Anand Rajaraman / Jeffrey David Ullman 出版社: Cambridge University Press副标题: 2nd Edition出版年: 2014-12-29页数: 476定价: USD 75.99装帧: HardcoverISBN: 9781107077232豆瓣评分 8.8 22人评价 5星 59.1% 4星 36.4% 3星 4.5% 2星 0.0% 1星 0.0% ...
Mining of massive datasets. Cambridge University Press, 2012.Mining of Massive Datasets. A. Rajaraman,J. D. Ullman. . 2011Rajaraman, A., Ullman, J.D.: Mining of Massive Datasets. Cambridge University Press, College Station, Texas, 1st edn. (December 2011)A. Rajaraman,J. D. Ullman.Mining...
英文原版 Mining of Massive Datasets 大数据 互联网大规模数据挖掘与分布式处理 精装 英文版 进口英语原版书籍 作者:Jure出版社:Cambridge出版时间:2020年01月 手机专享价 ¥ 当当价 降价通知 ¥829.00 配送至 广东广州市 至 北京市东城区 服务 由“华研外语旗舰店”发货,并提供售后服务。
A common sort of data-mining problem involvesdiscovering unusual events hiddenwithin massive amounts of data. 但是数据挖掘技术也不是总是有效的, 下面介绍Bonferroni’s Principle来避免滥用这种技术. 2.1 Total Information Awareness In 2002, the Bush administration put forward a plan to mine all the data...
本来是计划读英文版《Mining of Massive Datasets》的,但看到打折,而且译者在序言中信誓旦旦地说翻译的很用心,就买了中文的。结果读了第一章就读不下去了,中文表述太烂了,很多句子让人产生无限歧义,磕磕绊绊,叫人生厌。因此决定再次放弃这样的中文翻译书。
and if it is not processed immediately or stored, then it is lost forever. Moreover, we shall assume that the data arrives so rapidly that it is not feasible to store it all in active storage (i.e., in a conventional database), and then interact with it at the time of our choosing...
斯坦福大学关于海量数据的挖掘的免费教材《MiningofMassiveDatasets》Mining of Massive Datasets Anand Rajaraman Kosmix,Inc.Jeffrey D.Ullman Stanford Univ.Copyright c 2010,2011Anand Rajaraman and Jeffrey D.Ullman
Mining of Massive Datasets AnandRajaraman Kosmix,Inc. JeffreyD.Ullman StanfordUniv. Copyrightc2010AnandRajaramanandJeffreyD.Ullman ii Preface ThisbookevolvedfrommaterialdevelopedoverseveralyearsbyAnandRaja- ramanandJeffUllmanforaone-quartercourseatStanford.Thecourse CS345A,titled“WebMining,”wasdesigned...
挖掘海量数据集斯坦福大学mining massive datasets standford.pdf,Mining of Massive Datasets Leskovec, Rajaraman, and Ullman Stanford University For cosine distance, there is a technique analogous to minhashing for generating a (d ,d ,(1-d /180),(1-d /180))-