Pattern Recognition Algorithms for Data Mining(Chapman & Hall/CRC Computer Science & Data Analysis)

数据开采的模式识别算法

计算机软件

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1424.00
发货周期:预计5-7周发货
作      者
出  版 社
出版时间
2004年05月27日
装      帧
精装
ISBN
9781584884576
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页      码
280
开      本
6-1/8x9-1/4
语      种
英文
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图书简介
This valuable text 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. 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.
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