NDLI: Data Mining Algorithmic Research and Application Based on Information Entropy

Content Provider	IEEE Xplore Digital Library
Author	Dingsheng Wan Xiang Ren Yuting Hu
Copyright Year	2008
Description	Author affiliation: Coll. of Comput. & Inf. Eng., HoHai Univ., Nanjing (Dingsheng Wan; Xiang Ren; Yuting Hu)
Abstract	Traditional data mining predictive algorithm dealt little with original data set and did not make full use of the relationship of the data, as a result, numerous mathematical operation resources was wasted and also the accuracy of the predicted result was not very high. Against with this problem, correlation coefficient and information entropy were introduced, a data mining algorithmic based on information entropy was put forward, and an incremental predictive algorithm had been realized, too. Because the algorithm makes full use of the data setspsila interior relationship, it makes the forecasted results more accurate, and achieves a satisfied result.
Starting Page	218
Ending Page	221
File Size	317778
Page Count	4
File Format	PDF
ISBN	9780769533360
DOI	10.1109/CSSE.2008.551
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer science Data correlation. Software algorithms Lakes Prediction algorithms Educational institutions Data engineering Data mining Application software Predictive algorithm Information entropy Software engineering
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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