Data Mining

Read e-book online Data Analytics Made Accessible: 2017 edition PDF

By Anil Maheshwari

This e-book fills the necessity for a concise and conversational ebook at the starting to be box of information technology. effortless to learn and informative, this lucid publication covers every thing vital, with concrete examples, and invitations the reader to affix this box. The chapters within the publication are prepared for a customary one-semester direction. The publication comprises case-lets from real-world tales in the beginning of each bankruptcy. there's additionally a operating case research around the chapters as workouts. This ebook is designed to supply a scholar with the instinct at the back of this evolving zone, in addition to a pretty good toolset of the most important information mining ideas and structures. eventually, it contains a instructional for R platform.
The ebook has proved highly regarded through the international. Many universities within the US, and worldwide, have followed it as a textbook for his or her classes. This 2017 variation has additional 4 new chapters in keeping with the options and proposals expressed through many reviewers.
Students throughout numerous educational disciplines, together with enterprise, desktop technological know-how, records, engineering, and others drawn to the belief of getting to know new insights and concepts from facts can use this as a textbook. pros in a variety of domain names, together with executives, managers, analysts, professors, medical professionals, accountants, and others can use this e-book to profit in a couple of hours the best way to make experience of and increase actionable insights from the big facts coming their approach. it is a flowing e-book that possible end in a single sitting, or you may go back to it repeatedly for insights and techniques.

Table of Contents
Chapter 1: Wholeness of knowledge Analytics
Chapter 2: enterprise Intelligence suggestions & Applications
Chapter three: information Warehousing
Chapter four: info Mining
Chapter five: information Visualization
Chapter 6: selection Trees
Chapter 7: Regression Models
Chapter eight: synthetic Neural Networks
Chapter nine: Cluster research
Chapter 10: organization Rule Mining
Chapter eleven: textual content Mining
Chapter 12: Naïve Bayes Analysis
Chapter thirteen: aid Vector Machines
Chapter 14: internet Mining
Chapter 15: Social community Analysis
Chapter sixteen: enormous Data
Chapter 17: information Modeling Primer
Chapter 18: statistics Primer
Chapter 19: info technology Careers
Appendix: info Mining educational utilizing R

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Data Analytics Made Accessible: 2017 edition by Anil Maheshwari

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