Jiawei Han(韩家炜),是伊利诺伊大学厄巴纳-尚佩恩分校计算机科学系的Bliss教授。他因知识发现和数据挖掘研究方面的贡献而获得许多奖励,包括ACM SIGKDD创新奖(2004)、IEEE计算机学会技术成就奖(2005)和IEEE W.Wallace McDowell奖(2009)。他是ACM和IEEE会士。他还担任《ACM Transactions on Knowledge Discovery from Data》的执行主编(2006—2011)和许多杂志的编委,包括《IEEE Transactions on Knowledge and Data Engineering》和《Data Mining Knowledge Discovery》。
拥有加拿大康考迪亚大学计算机科学硕士学位,现在加拿大西蒙弗雷泽大学从事博士后研究工作。
发表于2024-11-08
Data Mining 2024 pdf epub mobi 电子书
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
评分作者是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
评分推荐几个数据分析网站 随着数据的数量级增长,促进了数据分析的火热。但很多数据分析从业人员却感觉没有很好的获取行业资讯、技术交流的平台,今天就推荐几个经常上的觉得很不错的网站给大家。大数据时代已经来临,我们一起感受数据的力量吧! 数据分析交流群推...
评分 评分这本书被翻译的佶屈聱牙,除了给学习数据挖掘的人增添负担,什么积极的作用的没有。 不知道有多少人因为这本不通的书而失去对数据挖掘的兴趣。 教授真的是毁人不倦啊,各种官方语言,妈的是要当官吗?
图书标签: 数据挖掘 机器学习 Data-Mining 计算机 计算机科学 互联网 个性化推荐 信息检索
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
膜UIUC的数据挖掘大佬
评分jiawei是个好同志
评分综合性很强的一本书。可以作为基础学习或者查阅。有一些伪代码,很有启发性但是在大数据时代很多算法的分布式实现还要去看源码,例如mllib, mahout。 对数据仓库,olap server的讲解蛮不错的。毕竟dm和dw的关系很密切。此外,fpgrow算法讲解很到位
评分推荐和Coursera的专项课程一起听。Coursera的Slides给出了书中很多较为简略环节的参考文献,书和课程组合,兼顾基础与引申。在线课程精心准备,游戏化做得非常棒,习题集还搞了个名人堂机制,动力满满啊!论坛也很活跃,负责算法R实现那个TA尤其赞,学到了很多!
评分重温下Jiawei Han的这本经典数据挖掘教材
Data Mining 2024 pdf epub mobi 电子书