推荐Data Mining数据挖掘10本书及下载链接

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http://tutorial.top10inaction.com/best-data-mining-books/
这是原链接。附带贴出来论坛里存有的书链接。

The Data Mining
文字版，3rd https://bbs.pinggu.org/thread-2115978-1-1.html
epub版，https://bbs.pinggu.org/thread-1308668-1-1.html
第二版，https://bbs.pinggu.org/thread-629020-1-1.html

The Data Mining from Jiawei Han, Jian Pei and Micheline Kamber currently runs its third edition. Available in hardcover, paperback and Kindle format the book thoroughly discusses the pattern discovery in large datasets, warehousing, data cubing technology, mining of social networks, mining spatial data, multimedia, presentation algorithms, object relational database, spatial database, pseudo codes and use of sophistication tools.

The book can serve the academic purposes and will empower the readers with knowledge on partitioning methods, hierarchical, density and grid based methods. The writers presented bundle of information on classification in the book to help readers realize the paradigm of data mining.

Data Mining
https://bbs.pinggu.org/thread-1062928-1-1.html
https://bbs.pinggu.org/thread-1215675-1-1.html

Our next book is Data Mining, written by Ian H. Witten, Eibe Frank and Mark A. Hall. This book comes from the same series like the last book we mentioned here and it details on data transformation, multi instance learning, ensemble learning, Weka machine learning, interactive interface, input preparation, output interpretation, results evaluation and the methods in algorithm development.

The current third edition is available in paperback and kindle format and contains more than six hundred pages of greatly helpful resource.

Handbook of Statistical Analysis and Data Mining Applications
https://bbs.pinggu.org/thread-2469570-1-1.html

The next book is the favorite one for many. It is Handbook of Statistical Analysis and Data Mining Applicationsby Gary Miner, Robert Nisbet and John Elder. It combines the statistical applications with data mining techniques and therefore it removes all the gap between theory and practice. Readers with stronger interest in data mining and analytical capabilities shall fall in love with the book.

The nearly nine hundred pages book from the Academic Press discussed about top ten data mining mistakes, predictive analytics, Statistica usage, SPSS Clementine, SAS, field variety optimization and graphical analytical tools, CHAID and MARSpline. The book delves into deep of data mining. Even if you are a proven expert in data mining, having such a book in your personal library will not harm.

Data Mining with R
https://bbs.pinggu.org/thread-3843600-1-1.html

Luis Torgo’s Data Mining with R is a practice focus book available in hardcover and Kindle format. It also covers outliner detection, clustering, sampling, feature selections, cross validity check, sampling and the R. The book is of great value only when data mining has become your personal interest besides its active presence in your professional and academic life.

R for Everyone
https://bbs.pinggu.org/thread-3324262-1-1.html

Jared Lander’s R for Everyone is the most comprehensive book ever on the open source R matter in data mining and analysis. The book content includes detailing R, R’s packages and studio, variable types, vectors, call functions, data structures, frames, matrics, lists, statistical graphs, user defined functioning and ifelse and checks.

The book has also detailed discussion on group manipulation, program efficiency improvement, regular expressions, normal, binomial and poisson probability, mean, standard deviation, t tests, liner, non linear models and so on. This book tops all the others we have recommended here in above in terms of the subject matter’s detail and helpful content accumulation.

Mining the Web

Mining the Web by Gordon S. Linoff is a great piece of book available in paperback and Kindle formats. The book details on database, data warehousing, problem solving web mining techniques and mining principles.

The book will help managers and owners of online businesses who are the early advocates of turning customer data into customer value. The book’s focus therefore remains on benefiting the online retailers, digital content, advertisement driven business models, B2B and subscription.

Data Smart
https://bbs.pinggu.org/thread-3173682-1-1.html

John W. Foreman’s Data Smartis a popular book across the globe. In its chapters the book discusses artificial intelligence, linear model, ensemble methods, naïve Bayes, clustering, k means, sphericak k, graph modularity, optimization, genetic algorithm, non linear program, time series, exponential smoothing and monte carlo simulation. The book has also discussed data science focus R language, multiple dimensions, single outliners, risk and quantification.

Mining the Social Web
https://bbs.pinggu.org/thread-3383383-1-1.html

Mining the Social Web by Matthew A. Russell is a comprehensive book on social media data analytics and mining. It will help the online marketers and conversion specialists. The book details natural language toolkit, NetWorx, scientific computing, TF-IDF, extraction, clustering, bootstrap interest graphs, interactive visualizations and technology. If web analytics hold a great interest in you, get the book.

Mining the Web
https://bbs.pinggu.org/thread-519590-1-1.html

Soumen Chakrabarti’s Mining the Webis another book in our list. It discusses statistics based web mining, conversion of unstructured as well as semi structured data, information retrieval technique, clustering and classification, hyperlinking, discovery and social network analysis etc.

Introduction to Data Mining
中文版https://bbs.pinggu.org/thread-2697591-1-1.html

Introduction to Data Mining by Pang Ning Tan and Michael Steinbach is an important book in our list. Those who do not have any idea about data mining and looking to get indepth knowledge on it, should have the book available in paperback, kindle and hardcover. Published by Addison Wesley the book details on database, introduction to database, data warehousing, networking and network administration.

Data Science for Business
https://bbs.pinggu.org/thread-2642210-1-1.html

Last book in our review is the best of all. It is theData Science for Business written by Foster Provost the book is available in paperback and kindle formats. The book focuses on the statistics, database design and business mathematics at the same time.

It describes role of data, competitive advantages in data mining, how to approach business problems mining the data, process of data mining, concepts, knowledge of data and application principles. The book delivers complete notion in data mining.

Data mining is not a critical subject when you get the full grasp of the concepts. For analytical part there are different ways. Each of those analysis can favor specific data set. To become a data mining expert you need to know the more about it. This list will help you greatly in becoming a data miner.

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关键词：Data Mining 数据挖掘 下载链接 ning Data data mining 数据挖掘 clutering

还是花时间去读每个重要算法的专著或原创论文，，，这些书，仅供浏览，有个总体观。。。