Data Mining 新书_图书内容介绍_剧情呢
剧情呢 国产剧 港剧 泰剧

Data Mining读书介绍

类别 页数 译者 网友评分 年代 出版社
书籍 744页 8.5 2020 Morgan Kaufmann
定价 出版日期 最近访问 访问指数
USD 74.95 2020-02-20 … 2020-03-08 … 52
主题/类型/题材/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,
作者
Jiawei Han      ISBN:9780123814791    原作名/别名:《》
内容和作者简介
Data Mining摘要

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

作者简介

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。

本书后续版本
未发行或暂未收录
喜欢读〖Data Mining〗的人也喜欢:

  • Data Mining and Analysis DataMining,科普,英文原版,IS,IM,Data_Analysis,CS,2015, 2020-02-20 …
  • Data Mining 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, 2020-02-20 …
  • Data Mining with R 数据挖掘,R,R语言,统计,计算机,数据分析,计算机科学,R., 2020-02-20 …
  • Data Mining 数据挖掘,机器学习,DataMining,计算机,数据库,计算机科学,人工智能,Data-Mining, 2020-02-20 …
  • Data Mining for Business Analytics R,数据分析,Statistics,商业,Data,AI,2017, 2020-02-20 …
  • Data Mining 数据挖掘,Data-Mining,计算机,机器学习,计算机科学,人工智能,data_mining,AI, 2020-02-20 …
  • Web Data Mining 数据挖掘,Web, 2020-02-20 …
  • Web Data Mining 数据挖掘,DataMining,web,机器学习,人工智能,算法,数据挖掘,机器学习,Mining, 2020-02-20 …
  • Principles of Data Mining (Adaptive Computation an 数据挖掘,datamining,机器学习,textbook,MIT,统计,模式识别,Statistics, 2020-02-20 …
  • Introduction to Data Mining 数据挖掘,计算机,机器学习,Data-Mining,统计,计算机科学,专业, 2020-02-20 …
  • 友情提示

    剧情呢,免费看分享剧情、挑选影视作品、精选好书简介分享。