圖書標籤: 數據挖掘 機器學習 Data-Mining 計算機 計算機科學 互聯網 個性化推薦 信息檢索
发表于2025-02-16
Data Mining pdf epub mobi txt 電子書 下載 2025
The increasing volume of data in modern business and science calls for more complex and sophisticated tools. Although advances in data mining technology have made extensive data collection much easier, it's still always evolving and there is a constant need for new techniques and tools that can help us transform this data into useful information and knowledge. Since the previous edition's publication, great advances have been made in the field of data mining. Not only does the third of edition of Data Mining: Concepts and Techniques continue the tradition of equipping you with an understanding and application of the theory and practice of discovering patterns hidden in large data sets, it also focuses on new, important topics in the field: data warehouses and data cube technology, mining stream, mining social networks, and mining spatial, multimedia and other complex data. Each chapter is a stand-alone guide to a critical topic, presenting proven algorithms and sound implementations ready to be used directly or with strategic modification against live data. This is the resource you need if you want to apply today's most powerful data mining techniques to meet real business challenges.
* Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects. * Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields. *Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data
Jiawei Han(韓傢煒),是伊利諾伊大學厄巴納-尚佩恩分校計算機科學係的Bliss教授。他因知識發現和數據挖掘研究方麵的貢獻而獲得許多奬勵,包括ACM SIGKDD創新奬(2004)、IEEE計算機學會技術成就奬(2005)和IEEE W.Wallace McDowell奬(2009)。他是ACM和IEEE會士。他還擔任《ACM Transactions on Knowledge Discovery from Data》的執行主編(2006—2011)和許多雜誌的編委,包括《IEEE Transactions on Knowledge and Data Engineering》和《Data Mining Knowledge Discovery》。
擁有加拿大康考迪亞大學計算機科學碩士學位,現在加拿大西濛弗雷澤大學從事博士後研究工作。
當年ML的指定教材
評分清晰明白覆蓋麵廣,但不是很深入,適閤入門,學霸請繞道
評分清晰明白覆蓋麵廣,但不是很深入,適閤入門,學霸請繞道
評分綜閤性很強的一本書。可以作為基礎學習或者查閱。有一些僞代碼,很有啓發性但是在大數據時代很多算法的分布式實現還要去看源碼,例如mllib, mahout。 對數據倉庫,olap server的講解蠻不錯的。畢竟dm和dw的關係很密切。此外,fpgrow算法講解很到位
評分good textbook, even though i decided not to follow the path towards a trendy so-called data scientist.
大三下时就买了,为了准备一下保研的方向,当时只是粗略的读懂了一点。浙大面试时问了我一个K-Means自己都记不太清了。 研一上的<<数据仓库与数据挖掘>>课程也基本使用了这本教材,然而长期不去上课导致自己好多内容学的并不扎实,最后的考试也考的很烂;现在回想,贝叶...
評分开阔眼界非常好 本科的基础不扎实的建议skip这本书吧 Data Mining 可是硕士博士们做的事情
評分 評分作者是FP-Growth的发明人之一,本身实力不弱。但看了国内外的一些评论后,觉得此书偏向文献综述的类型,适合当作参考手册。 亚马逊地址: http://www.amazon.com/Data-Mining-Concepts-Techniques-Management/dp/0123814790/ref=cm_rdp_product
評分我了个擦 , 连个非限制性定语从句都翻译不了,你翻译毛啊。还不如看原版。你们两个真是叫兽啊。本来都不屑去骂,但是连个定于从句都搞不通顺,叫兽你就这水平?你让研究生替你翻译的话,你研究生的水平也不至于如此奇差吧,还没过四级呢吧。不评很差是看在原著的面子上。
Data Mining pdf epub mobi txt 電子書 下載 2025