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共24筆商品，1/2頁
Data Mining With R ─ Learning With Case Studies
1.

Data Mining With R ─ Learning With Case Studies

作者：Torgo; Luis  出版社：CRC Press UK  出版日：2016/09/05 裝訂：精裝
If you want to learn how to analyze your data with R, this is your book. A broad range of real-world case studies highlights the breadth and depth of the R software. This expanded second edition delve
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Data Mining With R—Learning by Case Studies
90折
2.

Data Mining With R—Learning by Case Studies

作者：Luis Torgo  出版社：Taylor & Francis  出版日：2010/11/09 裝訂：精裝
The versatile capabilities and large set of add-on packages make R an excellent alternative to many existing and often expensive data mining tools. Exploring this area from the perspective of a practi
定價：3358 元， 優惠價：9 3022
無庫存，下單後進貨(到貨天數約30-45天)
Data Mining Applications With R
3.

Data Mining Applications With R

作者：Yanchang Zhao  出版社：Academic Pr  出版日：2013/12/12 裝訂：精裝
Data Mining Applications with R is a great resource for researchers and professionals to understand the wide use of R, a free software environment for statistical computing and graphics, in solving di
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Data Mining With Rattle and R
4.

Data Mining With Rattle and R

作者：Graham Williams  出版社：Springer Verlag  出版日：2011/08/04 裝訂：平裝
Data mining is the art and science of intelligent data analysis. By building knowledge from information, data mining adds considerable value to the ever increasing stores of electronic data that aboun
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Data Mining And Business Analytics With R
5.

Data Mining And Business Analytics With R

作者：Ledolter  出版社：John Wiley & Sons Inc  出版日：2013/05/17 裝訂：平裝
Careful analysis of data is becoming more and more critical in business. Across large businesses such as Google, Netflix, and Amazon, large amounts of data are gathered on matters such as customer beh
無法訂購
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Social Media Mining With R
6.

Social Media Mining With R

作者：Richard Heimann; Nathan Danneman  出版社：Lightning Source Inc  出版日：2014/03/30 裝訂：平裝
A concise, hands-on guide with many practical examples and a detailed treatise on inference and social science research that will help you in mining data in the real world. Whether you are an undergra
定價：1539 元， 優惠價：1 1539
無庫存，下單後進貨(到貨天數約30-45天)
Practical Graph Mining With R
7.

Practical Graph Mining With R

作者：Nagiza F. Samatova (EDT)  出版社：Taylor & Francis  出版日：2013/03/26 裝訂：精裝
"Discover Novel and Insightful Knowledge from Data Represented as a GraphPractical Graph Mining with R presents a "do-it-yourself" approach to extracting interesting patterns from graph data. It cover
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Data Mining with R：Learning with Case Studies, Second Edition
滿額折
8.

Data Mining with R：Learning with Case Studies, Second Edition

作者：Luis Torgo  出版社：PBKTYFRL  出版日：2020/06/30 裝訂：平裝
定價：2699 元， 優惠價：1 2699
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Text Mining With R ― A Tidy Approach
滿額折
9.

Text Mining With R ― A Tidy Approach

作者：Julia Silge Ph.d.; David Robinson Ph.d.  出版社：Oreilly & Associates Inc  出版日：2017/05/25 裝訂：平裝
Tackle a variety of tasks in natural language processing by learning how to use the R language and tidy data principles. This practical guide provides examples and resources to help you get up to spee
定價：1400 元， 優惠價：1 1400
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Data Mining and Data Visualization
10.

Data Mining and Data Visualization

作者：C. R. Rao (EDT); Edward J. Wegman (EDT); J. L. Solka (EDT)  出版社：Elsevier Science Ltd  出版日：2005/06/30 裝訂：精裝
This book focuses on dealing with large-scale data, a field commonly referred to as data mining. The book is divided into three sections. The first deals with an introduction to statistical aspects of
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Data Mining and Data Warehousing ― Principles and Practical Techniques
11.

Data Mining and Data Warehousing ― Principles and Practical Techniques

作者：Parteek Bhatia  出版社：Cambridge Univ Pr  出版日：2019/02/28 裝訂：平裝
Written in lucid language, this valuable textbook brings together fundamental concepts of data mining and data warehousing in a single volume. Important topics including information theory, decision tree, Naïve Bayes classifier, distance metrics, partitioning clustering, associate mining, data marts and operational data store are discussed comprehensively. The textbook is written to cater to the needs of undergraduate students of computer science, engineering and information technology for a course on data mining and data warehousing. The text simplifies the understanding of the concepts through exercises and practical examples. Chapters such as classification, associate mining and cluster analysis are discussed in detail with their practical implementation using Weka and R language data mining tools. Advanced topics including big data analytics, relational data models and NoSQL are discussed in detail. Pedagogical features including unsolved problems and multiple-choice questions are
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Advanced Techniques In Knowledge Discovery And Data Mining
12.

Advanced Techniques In Knowledge Discovery And Data Mining

作者：Nikhil R. Pal (EDT); L. C. Jain (EDT)  出版社：Springer-Verlag New York Inc  出版日：2005/06/30 裝訂：精裝
Presents the latest and most advanced tools and techniques available for data and web mining strategies with chapters written by leading world experts. Provides practicing engineers and scientists wit
無法訂購
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02-25006600[分機130、131]。
Data Mining For Business Analytics: Concepts, Techniques, And Applications With Jmp Pro(R)
13.

Data Mining For Business Analytics: Concepts, Techniques, And Applications With Jmp Pro(R)

作者：Shmueli  出版社：John Wiley & Sons Inc  出版日：2016/06/03 裝訂：精裝
Incorporating an innovative focus on data visualization and time series forecasting,Data Mining for Business Intelligence supplies insightful, detailed guidance on fundamental data mining techniques.
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Text Mining In Practice With R
滿額折
14.

Text Mining In Practice With R

作者：Kwartler  出版社：John Wiley & Sons Inc  出版日：2017/06/06 裝訂：精裝
A reliable, cost-effective approach to extracting priceless business information from all sources of text Excavating actionable business insights from data is a complex undertaking, and that complexit
定價：3958 元， 優惠價：9 3562
無庫存，下單後進貨(到貨天數約30-45天)
Data Mining for Managers ― How to Use Data Big and Small to Solve Business Challenges
90折
15.

Data Mining for Managers ― How to Use Data Big and Small to Solve Business Challenges

作者：R. Boire  出版社：Palgrave Macmillan  出版日：2014/10/30 裝訂：平裝
Big Data is a growing business trend, but there little advice available on how to use it practically. Written by a data mining expert with over 30 years of experience, this book uses case studies to h
定價：2475 元， 優惠價：9 2228
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Machine Learning for Business Analytics: Concepts, Techniques, and Applications with Analytic Solver (R) Data Mining, Fourth Edition
16.

Machine Learning for Business Analytics: Concepts, Techniques, and Applications with Analytic Solver (R) Data Mining, Fourth Edition

作者：Shmueli  出版社：John Wiley and Sons Ltd  出版日：2023/06/22 裝訂：精裝
無法訂購
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Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel With XLMiner
17.

Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel With XLMiner

作者：Galit Shmueli; Nitin R. Patel; Peter C. Bruce  出版社：John Wiley & Sons Inc  出版日：2010/10/08 裝訂：平裝
Data Mining for Business Intelligence, Second Edition uses real data and actual cases to illustrate the applicability of data mining (DM) intelligence in the development of successful business models
無法訂購
絕版無法訂購
Automated Data Collection With R - A Practical Guide To Web Scraping And Text Mining
滿額折
18.

Automated Data Collection With R - A Practical Guide To Web Scraping And Text Mining

作者：Munzert  出版社：John Wiley & Sons Inc  出版日：2014/11/10 裝訂：精裝
"This book provides a unified framework of web scraping and information extraction from text data with R for the social sciences"--
定價：3958 元， 優惠價：9 3562
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Learn R for Applied Statistics ― With Data Visualizations, Regressions, and Statistics
滿額折
19.

Learn R for Applied Statistics ― With Data Visualizations, Regressions, and Statistics

作者：Eric Goh Ming Hui  出版社：Apress  出版日：2019/01/20 裝訂：平裝
Gain the R programming language fundamentals for doing the applied statistics useful for data exploration and analysis in data science and data mining. This book covers topics ranging from R syntax ba
定價：2100 元， 優惠價：1 2100
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Web Mining ― A Synergic Approach Resorting to Classifications and Clustering
滿額折
20.

Web Mining ― A Synergic Approach Resorting to Classifications and Clustering

作者：V. S. Kumbhar; K. S. Oza; R. S. Kamath  出版社：River Publishers  出版日：2017/02/28 裝訂：精裝
Web mining is the application of data mining strategies to excerpt learning from web information, i.e. web content, web structure, and web usage data. With the emergence of the web as the predominant
定價：3825 元， 優惠價：1 3825
無庫存，下單後進貨(到貨天數約30-45天)
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