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  • 标题:Data Classification Methodologies: A Survey
  • 本地全文:下载
  • 作者:Vijita Nair ; Kavita Burse ; Vivek Kumar
  • 期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
  • 印刷版ISSN:2347-6710
  • 电子版ISSN:2319-8753
  • 出版年度:2018
  • 卷号:7
  • 期号:3
  • 页码:2686
  • DOI:10.15680/IJIRSET.2018.0703119
  • 出版社:S&S Publications
  • 摘要:The problem of classification is may be one of the greatest colossally considered in the data mining andin intelligent retrieval system. The classifications tasks have been studied by researchers from several domains fromdecades. Applications of classification accommodate a wide area of dilemma like text, social networks, multimedia andbiological data. Furthermore, the problem may perhaps encounter in a number of different scenarios such as streamingof uncertain data and certain data. This is because the problem trying to construct the mapping between a couple offeature variables and a target variable of interest. In classification, we do the separation which is done on the basis of atraining data set, which changes smart information about the association of the groups in the kind of a target variable.As an outcome, the classification problem is mentioned as superintend learning. In this survey we studied anassortment of data sorting methods and Algorithms.
  • 关键词:Gravitational search algorithm; Particle swarm optimization; FNN Neural network
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