(eBook PDF) Introduction to Business Data Mining 1st Edition

(eBook PDF) Introduction to Business Data Mining 1st Edition – Digital Ebook – Instant Delivery Download

 

Product details:

• ISBN-10 ‏ : ‎ 0072959711
• ISBN-13 ‏ : ‎ 978-0072959710
• Author: David L. Olson, Yong Shi

Introduction to Business Data Mining was developed to introduce students, as opposed to professional practitioners or engineering students, to the fundamental concepts of data mining. Most importantly, this text shows readers how to gather and analyze large sets of data to gain useful business understanding.A four part organization introduces the material (Part I), describes and demonstrated basic data mining algorithms (Part II), focuses on the business applications of data mining (Part III), and presents an overview of the developing areas in this field, including web mining, text mining, and the ethical aspects of data mining. (Part IV).The author team has had extensive experience with the quantitative analysis of business as well as with data mining analysis. They have both taught this material and used their own graduate students to prepare the text’s data mining reports. Using real-world vignettes and their extensive knowledge of this new subject, David Olson and Yong Shi have created a text that demonstrates data mining processes and techniques needed for business applications.

Table of contents:

Introduction

Overview of the data mining process

Data visualization

Dimension reduction

Evaluating classification and predictive performance

Multiple linear regression

knearest neighbors (kNN)

Naive bayes

Classification and regression trees

Logistic regression

Neural nets

Discriminant analysis

Association rules

Cluster Analysis

Handling time series

Regression-based forecasting

Smoothing methods

Cases.

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