By Sushmita Mitra
* First identify to ever current delicate computing techniques and their software in facts mining, besides the normal hard-computing ways * Addresses the rules of multimedia facts compression concepts (for photo, video, textual content) and their position in info mining * Discusses rules and classical algorithms on string matching and their function in information mining
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Extra resources for Data Mining Multimedia, Soft Computing, and Bioinformatics
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. In its simplest form, the pattern or string matching problem consists of searching the text T to find the occurrence(s) of the pattern P in T (m < n). Several variants of the basic problem can be considered. , Pfc}, where each P* is a pattern from the same alphabet and the problem is to search for occurrence(s) of any one of the members of the set in the text.
22. T. M. Mitchell, "Machine learning and data mining," Communications of the ACM, vol. 42, pp. 30-36, 1999. 23. F. Provost and V. Kolluri, "A survey of methods for scaling up inductive algorithms," Data Mining and Knowledge Discovery, vol. 2, pp. 131-169, 1999. 24. T. Acharya, VLSI Algorithms and Architectures for Data Compression. D. thesis, Department of Computer Science, University of Central Florida, Orlando, FL, August 1994. 25. K. Sayood, Introduction to Data Compression. San Francisco: Morgan Kaufmann, 2000.
User interaction and prior knowledge. Data mining is inherently an interactive and iterative process. Users may interact at various stages, and domain knowledge may be used either in the form of a high-level specification of the model or at a more detailed level. Visualization of the extracted model is also desirable for better user interaction at different levels. 3. Over-fitting and assessing the statistical significance. Datasets used for mining are usually huge and available from distributed sources.