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Rough Set Year in India 2009

机译:2009年印度粗糙年份

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摘要

Since its inception in early 80's, the rough set theory has attracted a lot of interest from global research community. It turns out as useful in building classification and prediction models. It complements a number of other soft computing paradigms. It may be combined with fuzzy logic and probabilistic data analysis. It has led towards enhancements of neural networks, genetic algorithms, clustering, support vector machines, regression models, et cetera. Its application domains include pattern recognition, feature selection, information retrieval, bioinformatics, computer vision, multimedia, medicine, retail data mining, web mining, control, traffic engineering, data warehousing, and many others.
机译:自从80年代初创立以来,粗糙集理论就引起了全球研究界的广泛兴趣。事实证明,这对于构建分类和预测模型很有用。它补充了许多其他软计算范例。它可以与模糊逻辑和概率数据分析相结合。它导致了神经网络,遗传算法,聚类,支持向量机,回归模型等的增强。它的应用领域包括模式识别,特征选择,信息检索,生物信息学,计算机视觉,多媒体,医学,零售数据挖掘,Web挖掘,控制,交通工程,数据仓库等。

著录项

  • 来源
  • 会议地点 Delhi(IN);Delhi(IN)
  • 作者单位

    Department of Computer Science, North Maharashtra University Jalgaon, Maharashtra, 425 001, India;

    rnDepartment of Mathematics, Tripura University Suryamaninagar, Tripura, 799 130, India;

    rnDepartment of Mathematics and Computing Science, Saint Mary's University Halifax, Nova Scotia, B3H 3C3, Canada;

    rnDepartment of Computer Science, University of Pune Pune, 411 007, India;

    Department of Computer Science, University of Mumbai Mumbai, 400 098, India;

    rnInstitute of Mathematics, University of Warsaw Banacha 2, 02-097 Warsaw, Poland Infobright Inc., Poland Krzywickiego 34 pok. 219, 02-078 Warsaw, Poland;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 计算技术、计算机技术;
  • 关键词

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