TSK - Chapter 8 - Cluster Analysis

Cluster analysis could be defined as "Finding groups of objects such that the objects in a group will be similar (or related) to one another and different from (or unrelated to) the objects in other groups."
In short, cluster analysis divides the data into groups(clusters) that are meaningful, useful or both.
There are many applications of cluster analysis to practical problems.

TSK - Chapter 4 - Classification

Classification is the task of assigning objects to one of several pre-defined categories. E.g - detecting spam email messages based upon the message header and content, categorizing cells as malignant or benign based upon the results of MRI scans, and classifying galaxies based upon their shapes ..etc

TSK - Chapter 3 - Exploring Data

Data exploration is a preliminary exploration of the data to better understand its characteristics.

TSK - Chapter 2 - Data

Data is a collection of objects and their attributes. An attribute is a property or characteristic of an object. A collection of attributes describe an object. 

TSK - Chapter 1 - Introduction

Data Mining : Non-trivial extraction of implicit, previously unknown and potentially useful information from data. Exploration & analysis, by automatic or semi-automatic means, of large quantities of data in order to discover meaningful patterns. 

Introduction to Data Mining

"Introduction to Data Mining" by Pang-Ning Tan, Michael Steinbach and Vipin Kumar has been recommended to me as a great book to learn about Data Mining. Read the first chapter and it felt very inspiring as though it was beckoning me to keep at it and read more.