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2025-02-07
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
評分推薦和Coursera的專項課程一起聽。Coursera的Slides給齣瞭書中很多較為簡略環節的參考文獻,書和課程組閤,兼顧基礎與引申。在綫課程精心準備,遊戲化做得非常棒,習題集還搞瞭個名人堂機製,動力滿滿啊!論壇也很活躍,負責算法R實現那個TA尤其贊,學到瞭很多!
評分: TP311.13 /H233/3rd ed.
評分推薦和Coursera的專項課程一起聽。Coursera的Slides給齣瞭書中很多較為簡略環節的參考文獻,書和課程組閤,兼顧基礎與引申。在綫課程精心準備,遊戲化做得非常棒,習題集還搞瞭個名人堂機製,動力滿滿啊!論壇也很活躍,負責算法R實現那個TA尤其贊,學到瞭很多!
評分粗粗瀏覽瞭一遍,瞭解一些基本概念
这是一本从数据库角度阐述数据挖掘的书,主要关注从商业数据库的大量事务数据中寻找有用信息的各种方法。数据库和大数据是贯穿全书的核心。 全书大致可以分成两部分。前一部分重点是数据仓库的构建以及在此过程中的数据整合与化简,对于数据库的设计与数据整理很有启发...
評分 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
評分对于刚入门数据挖掘的人来说,这书绝对会让你感觉自己是个折翼的天使。,因为一开始就各种各样的理论扑面而来,而对于那些经典的算法却只是做一个感性的介绍,并没有那种流程图式的清晰解说。总之就是,不易上手。 但是在这种不面善的情况,为什么该书却被国内外...
評分Data Mining pdf epub mobi txt 電子書 下載 2025