Data Mining for Business Intelligence: Concepts, Techniques, and Applications

ANJ Imports
（2872）
賣家的其他物品
聯絡賣家
US $64.95
大約HK$ 505.54
或講價
狀況：
尚可
運送：
US $6.88（大約 HK$ 53.55） USPS Media MailTM.
所在地：Las Vegas, Nevada, 美國
送達日期：
估計於 9月29日 (星期一)至 10月2日 (星期四)之間送達 運送地點 94104
估計運送時間是透過我們的獨家工具，根據買家與物品所在地的距離、所選的運送服務、賣家的運送紀錄及其他因素，計算大概的時間。送達時間會因時而異，尤其是節日。
退貨：
不可退貨.
保障：
請參閱物品說明或聯絡賣家以取得詳細資料。閱覽全部詳情查看保障詳情
（不符合「eBay 買家保障方案」資格）
賣家必須承擔此刊登物品的所有責任。
eBay 物品編號：156737190024

物品細節

物品狀況
尚可: 書籍有明顯的磨損。封面可能存在損壞但不影響完整性。封皮可能略微受損但依舊完整無缺。可能存在留白書寫文字、標注和標記文字，但沒有缺頁或任何會對文字的清晰度或可理解性造成影響。 查看所有物品狀況定義會在新視窗或分頁中開啟
Brand
Unbranded
Book Title
Data Mining for Business Intelligence: Concepts, Techniques, and
MPN
Does not apply
ISBN
9781118879368
類別

關於產品

Product Identifiers

Publisher
Wiley & Sons, Incorporated, John
ISBN-10
1118879368
ISBN-13
9781118879368
eBay Product ID (ePID)
234971365

Product Key Features

Number of Pages
576 Pages
Publication Name
Data Mining for Business Analytics : concepts, Techniques, and Applications in R
Language
English
Publication Year
2017
Subject
Probability & Statistics / General, Databases / Data Mining, Enterprise Applications / General, Business Mathematics
Type
Textbook
Author
Nitin R. Patel, Inbal Yahav, Peter C. Bruce, Kenneth C. Lichtendahl Jr., Galit Shmueli
Subject Area
Mathematics, Computers, Business & Economics
Format
Hardcover

Dimensions

Item Height
1.2 in
Item Weight
47.3 Oz
Item Length
10.1 in
Item Width
6.9 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
2017-024503
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
658.05
Synopsis
Data Mining for Business Analytics: Concepts, Techniques, and Applications in R presents an applied approach to data mining concepts and methods, using R software for illustration Readers will learn how to implement a variety of popular data mining algorithms in R (a free and open-source software) to tackle business problems and opportunities. This is the fifth version of this successful text, and the first using R. It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining and network analysis. It also includes: Two new co-authors, Inbal Yahav and Casey Lichtendahl, who bring both expertise teaching business analytics courses using R, and data mining consulting experience in business and government Updates and new material based on feedback from instructors teaching MBA, undergraduate, diploma and executive courses, and from their students More than a dozen case studies demonstrating applications for the data mining techniques described End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented A companion website with more than two dozen data sets, and instructor materials including exercise solutions, PowerPoint slides, and case solutions www.dataminingbook.com Data Mining for Business Analytics: Concepts, Techniques, and Applications in R is an ideal textbook for graduate and upper-undergraduate level courses in data mining, predictive analytics, and business analytics. This new edition is also an excellent reference for analysts, researchers, and practitioners working with quantitative methods in the fields of business, finance, marketing, computer science, and information technology. "This book has by far the most comprehensive review of business analytics methods that I have ever seen, covering everything from classical approaches such as linear and logistic regression, through to modern methods like neural networks, bagging and boosting, and even much more business specific procedures such as social network analysis and text mining. If not the bible, it is at the least a definitive manual on the subject." Gareth M. James, University of Southern California and co-author (with Witten, Hastie and Tibshirani) of the best-selling book An Introduction to Statistical Learning, with Applications in R, Data Mining for Business Analytics: Concepts, Techniques, and Applications in R presents an applied approach to data mining concepts and methods, using R software for illustration Readers will learn how to implement a variety of popular data mining algorithms in R (a free and open-source software) to tackle business problems and opportunities. This is the fifth version of this successful text, and the first using R. It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining and network analysis. It also includes: Two new co-authors, Inbal Yahav and Casey Lichtendahl, who bring both expertise teaching business analytics courses using R, and data mining consulting experience in business and government Updates and new material based on feedback from instructors teaching MBA, undergraduate, diploma and executive courses, and from their students More than a dozen case studies demonstrating applications for the data mining techniques described End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented A companion website with more than two dozen data sets, and instructor materials including exercise solutions, PowerPoint slides, and case solutions www.dataminingbook.com Data Mining for Business Analytics: Concepts, Techniques, and Applications in R is an ideal textbook for graduate and upper-undergraduate level courses in data mining, predictive analytics, and business analytics. This new edition is also an excellent reference for analysts, researchers, and practitioners working with quantitative methods in the fields of business, finance, marketing, computer science, and information technology.
LC Classification Number
HF5548.2

賣家提供的物品說明

賣家簡介

ANJ Imports

99.8% 正面信用評價•已賣出 7,856 件物品

加入日期：2月 2011
瀏覽商店聯絡

詳盡賣家評級

過去 12 個月的平均評級
說明準確
4.9
運費合理
4.8
運送速度
5.0
溝通
5.0

賣家信用評價 （2,075）

全部評級
正面
中立
負面
查看所有信用評價