Introduction to Data Mining and Machine Learning

Data Preprocessing and Understanding

Classification: Basic Concepts and Techniques

Data Mining Algorithms and Models

Association Analysis: Basic Concepts and Algorithms

Clustering Analysis: Basic Concepts and Algorithms

Mining Object, Spatial, and Multimedia Data

Text Mining and Sentiment Analysis

Applications of Machine Learning in Data Mining

Challenges and Future Directions in Data Mining

Data Mining: Practical Machine Learning Tools and Techniques, part of the Morgan Kaufmann Series in Data Management Systems, provides a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. It presents not just the how, but also the why of the use of data mining tools.

non_fiction

technology

Data Mining: Practical Machine Learning Tools and Techniques (The Morgan Kaufmann Series in Data Management Systems)