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ITS » Journal » Sistem Informasi - S1
Posted by budi_hrt@its.ac.id at 10/03/2016 14:33:39  •  1144 Views


MULTICLASS CLASSIFICATION FOR METEOROLOGICAL DATA USING MODIFIED CBS ALGORITHM WITH MULTIPLE MINIMUM SUPPORT

Author :
ASTUTI. HANIM MARIA ( 198410292010122003 )
IQBAL, MUHAMMAD   MUKHLASH, IMAM




ABSTRAK

Weather forecast is one of focuses in data mining which uses meteorological data for its process. As the common technique used in forecasting weather is sequential pattern several algorithms have been developed by scholars. The common algorithms used in forecasting weather are CBS algorithm CBS algorithm using FEAT and CBS algorithm using FSGP. Previous studies remark the weaknesses of these three algorithms especially related to classifying weather with more than one class. In this paper we use multiple minimum supports to modify CBS algorithm in order to improve the performance of weather forecasting. The result shows that making use multiple minimum supports to the three algorithms the three modified algorithms are able to classify the weather with six categories from a given minimum support. In addition the simulation result shows that the covacc parameter of the modified CBS algorithm is better than the three common algorithms.



KeywordsCBS, FEAT, FSGP, Meteorology, Multiclass, Multiple Minimum Supports, Sequential
 
Subject:  Fuzzy Systems
Date Create: 18/06/2015
Type: Text
Format: PDF
Language: Indonesian
Identifier: ITS-Journal-52111150000048
Collection ID: 52111150000048
Call Number: 006.312 Ast p


Source
Article of Journal

Coverage
ITS Community

Rights
Indian Journal of Science and Technology, Vol 8(12), 70652, June 2015




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ITS-Journal-52111150000048-40671.pdf




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