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Books > Computing & IT > Applications of computing > Databases
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Pattern Recognition Algorithms for Data Mining - Scalability, Knowledge Discovery and Soft Granular Computing (Paperback)
Loot Price: R1,868
Discovery Miles 18 680
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Pattern Recognition Algorithms for Data Mining - Scalability, Knowledge Discovery and Soft Granular Computing (Paperback)
Series: Chapman & Hall/CRC Computer Science & Data Analysis
Expected to ship within 10 - 15 working days
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Pattern Recognition Algorithms for Data Mining addresses different
pattern recognition (PR) tasks in a unified framework with both
theoretical and experimental results. Tasks covered include data
condensation, feature selection, case generation,
clustering/classification, and rule generation and evaluation. This
volume presents various theories, methodologies, and algorithms,
using both classical approaches and hybrid paradigms. The authors
emphasize large datasets with overlapping, intractable, or
nonlinear boundary classes, and datasets that demonstrate granular
computing in soft frameworks. Organized into eight chapters, the
book begins with an introduction to PR, data mining, and knowledge
discovery concepts. The authors analyze the tasks of multi-scale
data condensation and dimensionality reduction, then explore the
problem of learning with support vector machine (SVM). They
conclude by highlighting the significance of granular computing for
different mining tasks in a soft paradigm.
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