中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Interval extreme learning machine for big data based on uncertainty reduction

文献类型:期刊论文

作者Li, Yingjie; Wang, Ran; Shiu, Simon C. K.
刊名JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
出版日期2015
英文摘要Choosing representative samples and removing data redundancy are two key issues in large-scale data classification. This paper proposes a new model, named interval extreme learning machine (ELM), for big data classification with continuous-valued attributes. The interval ELM model is built up based ontwo techniques, i.e., discretization of conditional attributes and fuzzification of class labels. First, inspired by the traditional decision tree (DT) induction algorithm, each conditional attribute is discretized into a number of intervals based on uncertainty reduction scheme. Then, the center and range of eachinterval are calculated as the mean and standard deviation of the values in it. Afterwards, the samples in the same intervals with regard to all the conditional attributes are merged as one record, and a fuzzification process is performed on the class labels. As a result, the original data set is transferred into a smaller one with fuzzy classes, and the interval ELM model is developed. Experimental comparisons demonstrate the feasibility and effectiveness of the proposed approach.
收录类别SCI
原文出处http://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=7&SID=V1uqeNNfeIflXscRwpc&page=1&doc=1
语种英语
源URL[http://ir.siat.ac.cn:8080/handle/172644/6904]  
专题深圳先进技术研究院_数字所
作者单位JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
推荐引用方式
GB/T 7714
Li, Yingjie,Wang, Ran,Shiu, Simon C. K.. Interval extreme learning machine for big data based on uncertainty reduction[J]. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS,2015.
APA Li, Yingjie,Wang, Ran,&Shiu, Simon C. K..(2015).Interval extreme learning machine for big data based on uncertainty reduction.JOURNAL OF INTELLIGENT & FUZZY SYSTEMS.
MLA Li, Yingjie,et al."Interval extreme learning machine for big data based on uncertainty reduction".JOURNAL OF INTELLIGENT & FUZZY SYSTEMS (2015).

入库方式: OAI收割

来源:深圳先进技术研究院

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