Business intelligence and data mining First Edition by Anil Maheshwari ISBN 1631571206 978-1631571206
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Product details:
ISBN 10: 1631571206
ISBN 13: 978-1631571206
Author: Anil Maheshwari
Data Analytics and Data-based Decision-making are hot topics now. Big Data has entered the common parlance. Many kinds of data are generated by business, social media, machines, and more. Organizations have a choice: they can be buried under the avalanche of data, or they can do something with it to increase competitive advantage. A new field of Data Science is born, and Data Scientist has been called the sexiest job of the decade. Students across a variety of academic departments, including business, computer science, statistics, and engineering are attracted to the idea of discovering new insights and ideas from data. This is a proposal for a short and lucid book on this whole area. It is designed to provide a student with the intuition behind this evolving area, along with a solid toolset of the major data mining techniques and platforms, all within a single semester- or quarter-long course.
Table of contents:
1 Wholeness of Business Intelligence and Data Mining
2 Business Intelligence
3 Pattern Recognition
4 Data Processing Chain
5 Organization of the Book
6 Review Question
7 Business Intelligence Concepts and Applications
8 BI for Better Decisions
9 Decision Type
10 BI Tools
11 BI Skills
12 BI Applications
13 Conclusion
14 Review Question
15 Liberty Stores Case Exercise: Step 1
16 Data Warehousing
17 Design Considerations for DW
18 DW Development Approaches
19 DW Architecture
20 Data Sources
21 Data Loading Processes
22 DW Design
23 DW Access
24 DW Best Practices
25 Review Questions
26 Liberty Stores Case Exercise: Step 2
27 Data Mining
28 Gathering and Selecting Data
29 Data Cleansing and Preparation
30 Outputs of Data Mining
31 Evaluating Data Mining Results
32 Data Mining Techniques
33 Tools and Platforms for Data Mining
34 Data Mining Best Practices
35 Myths about Data Mining
36 Data Mining Mistakes
37 Conclusion
38 Review Questions
39 Liberty Stores Case Exercise
40 Decision Tree
41 Decision Tree Problem
42 Decision Tree Construction
43 Lessons from Constructing Trees
44 Decision Tree Algorithms
45 Review Questions
46 Liberty Stores Case Exercise
47 Regression
48 Correlations and Relationships
49 Visual Look at Relationships
50 Regression Exercise
51 Nonlinear Regression Exercise
52 Artificial Neural Networks
53 Business Applications of ANN
54 Design Principles of an ANN
55 Representation of a Neural Network
56 Architecting a Neural Network
57 Developing an ANN
58 Advantages and Disadvantages of Using ANNs
59 Text Mining
60 Text Mining Applications
61 Text Mining Process
62 Mining the TDM
63 Comparing Text Mining and Data Mining
64 Web Mining
65 Big Data
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Anil Maheshwari,Business intelligence,data mining