Introduction to Data Mining

Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms.

• Data Mining: Concepts and Techniques, Third Edition (The Morgan Kaufmann Series in Data Management Systems)
• Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
• Understanding Variation: The Key to Managing Chaos
• An Introduction to Data Science
• Thomas' Calculus (12th Edition)
• An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
• Machine Learning with R: Expert techniques for predictive modeling to solve all your data analysis problems, 2nd Edition
• The Humanities: Culture, Continuity and Change, Volume 2 (3rd Edition) (Myartslab)
• Modeling Techniques in Predictive Analytics with Python and R: A Guide to Data Science (FT Press Analytics)
• The Cosmic Perspective (8th Edition)