INEFFICIENCY OF DATA MINING ALGORITHMS AND ITS ARCHITECTURE: WITH EMPHASIS TO THE SHORTCOMING OF DATA MINING ALGORITHMS ON THE OUTPUT OF THE RESEARCHES

INEFFICIENCY OF DATA MINING ALGORITHMS AND ITS ARCHITECTURE: WITH EMPHASIS TO THE SHORTCOMING OF DATA MINING ALGORITHMS ON THE OUTPUT OF THE RESEARCHES

This review paper presents a shortcoming associated to data mining algo-rithm(s) classification, clustering, association and regression which are highly used as a tool in different research communities. Data mining researches has successfully handling large amounts of dataset to solve the problems....

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Bibliographic Details
Main Author: Workineh TESEMA
Format: Article
Language:English
Published: Polish Association for Knowledge Promotion 2019-09-01
Series:Applied Computer Science
Subjects:
Data Mining
classification
clustering
association
regression
algorithms bottleneck
Online Access:http://www.acs.pollub.pl/pdf/v15n3/7.pdf

Internet

http://www.acs.pollub.pl/pdf/v15n3/7.pdf

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