Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
Foster Provost
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
Trevor Hastie
Introduction to Data Mining
Pang-Ning Tan
Data Mining: Practical Machine Learning Tools and Techniques
Ian H. Witten
Building Winning Algorithmic Trading Systems: A Trader's Journey From Data Mining to Monte Carlo Simulation to Live Trading (Wiley Trading)
Kevin J. Davey
Data Mining: Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems)
Jiawei Han
Data Mining: Introductory and Advanced Topics
Margaret H. Dunham
Data Warehousing, Data Mining, and OLAP (Data Warehousing/Data Management)
Alex Berson
Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management
Michael J.A. Berry
INTRODUCTION TO DATA MINING WITH CASE STUDIES
G.K. Gupta
Machine Learning Mathematics: Study Deep Learning Through Data Science. How to Build Artificial Intelligence Through Concepts of Statistics, Algorithms, Analysis and Data Mining
Samuel Hack
Data Mining with R: Learning with Case Studies (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Luís Torgo
Mining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media Sites
Matthew A. Russell
Data Mining
Pieter Adriaans
Data Mining Techniques
A.K. Pujari
Data Analytics: Practical Guide to Leveraging the Power of Algorithms, Data Science, Data Mining, Statistics, Big Data, and Predictive Analysis to Improve Business, Work, and Life
Arthur Zhang
Process Mining: Data Science in Action
Wil van der Aalst
Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel with Xlminer
Galit Shmueli
Handbook of Statistical Analysis and Data Mining Applications
Robert A. Nisbet
Data Mining For Dummies
Meta S. Brown