S. Uma
With the rapid development of information technology, the capacity to produce and gather data across all areas has risen tremendously. Retailers and e-commerce, Numerous scientific domains have also produced a significant amount of data. Another example is the World Wide Web, which has billions of web pages with text and multimedia content that are used by millions of users. It is still difficult to analyse large amounts of data in ways that can be recognized and used effectively.This issue is addressed by data mining, which offers methods and tools for automatically analysing and exploring massive and complex data sets. Massive amounts of data must first be mined for patterns, and then those patterns must be comprehended in the context of particular problems in order to be transformed into meaningful information and knowledge. Numerous data mining techniques are available to automate the initial stage of mining different sorts of data patterns from enormous amounts of data. Data pattern interpretation typically requires specialised topic knowledge and analytical skills which are discussed in this book.This book is written with reference from a number of sources on data mining yet Data mining by Kenneth and Hamber provided us with a good understanding of the data minining concepts . Hence to give a clear picture on data mining concepts , we have cited some of the examples and figures from the above mentioned book.
