TY - BOOK ID - 128237400 TI - Pattern recognition algorithms for data mining : scalability, knowledge discovery and soft granular computing AU - Pal, Sankar Kumar AU - Mitra, Pabitra PY - 2004 SN - 1584884576 9781584884576 PB - Boca Raton, Fla.: Chapman & Hall/CRC, DB - UniCat KW - Computer algorithms. KW - Data mining. KW - Granular computing. KW - Pattern recognition systems. KW - Acqui 2006 KW - Data mining KW - Pattern recognition systems KW - Computer algorithms KW - Granular computing UR - https://www.unicat.be/uniCat?func=search&query=sysid:128237400 AB - Pattern Recognition Algorithms for Data Mining addresses 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. Organized into eight chapters, the book begins by introducing PR, data mining, and knowledge discovery concepts. The authors proceed to analyze the tasks of multi-scale data condensation and dimensionality reduction. Then they explore the problem of learning with support vector machine (SVM), and conclude by highlighting the significance of granular computing for different mining tasks in a soft paradigm. ER -