Read e-book online Data Mining Multimedia, Soft Computing, and Bioinformatics PDF

By Sushmita Mitra

* First name to ever current gentle computing techniques and their program in facts mining, besides the conventional hard-computing techniques * Addresses the rules of multimedia info compression innovations (for snapshot, video, textual content) and their position in information mining * Discusses rules and classical algorithms on string matching and their function in information mining

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Sample text

Hence it is crucial to understand the principles behind image compression and its standards, in order to make significant progress to achieve this goal. We discuss the principles of multimedia data compression, including that for image datatypes, in Chapter 3. 3. 8 CLASSIFICATION Classification is also described as supervised learning [35]. Let there be a database of tuples, each assigned a class label. The objective is to develop a model or profile for each class. An example of a profile with good credit is 25 < age < 40 and income > 40K or married = "yes".

Here we provide examples to show how patterns are matched in general text, as well as how they can be applied in DNA matching in Bioinformatics. The different tasks of data mining like classification, clustering and association rules are covered in Chapters 5,6, and 7, respectively. The issue of rule generation and modular hybridization, in the soft computing framework, is described in Chapter 8. Multimedia data mining, including text mining, image mining, and Web mining, is dealt with in Chapter 9.

11 STRING MATCHING String matching is a very important area of research for successful development of data mining systems, particularly for text databases and in mining of data through the Internet by a text-based search engine. In this section, we briefly introduce the string matching problem [24]. Let P = a\a<2 ... am and T = b\b<2 ... bn denote finite strings (or sequences) of characters (or symbols) over a finite alphabet E, where m, n are positive 22 INTRODUCTION TO DATA MINING integers greater than 0.

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