Business intelligence and data mining

✍ Scribed by Maheshwari, Anil

• Publisher: Business Expert Press
• Year: 2015
• Tongue: English
• Leaves: 180
• Series: Big data and business analytics collection
• Edition: First edition
• Category: Library

✦ Synopsis

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

Content: 1. Wholeness of business intelligence and data mining --
2. Business intelligence concepts and applications --
3. Data warehousing --
4. Data mining --
5. Decision trees --
6. Regression --
7. Artificial neural networks --
8. Cluster analysis --
9. Association rule mining --
10. Text mining --
11. Web mining --
12. Big data --
13. Data modeling primer --
Additional resources --
Index.

✦ Subjects

Информатика и вычислительная техника;Искусственный интеллект;