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: Introductory and Advanced Topics
Margaret H. Dunham
Data Mining: Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems)
Jiawei Han
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
Data Mining with R: Learning with Case Studies (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Luís Torgo
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
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
Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel with Xlminer
Galit Shmueli
Process Mining: Data Science in Action
Wil van der Aalst
Principles of Data Mining (Adaptive Computation and Machine Learning)
David J. Hand
Handbook of Statistical Analysis and Data Mining Applications
Robert A. Nisbet