Data Mining for Data Classification Based on the KNN-Fuzzy Method Supported by Genetic Algorithm
This paper presents a classification method based on the KNN-Fuzzy classification algorithm, supported by Genetic Algorithm. It discusses how to consider data clustering according to the Fuzzy logic and its consequences in the area of Data Mining. Analyses are made upon the results obtained in the c...
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| creator | Rosa, José L. A. Ebecken, Nelson F. F. |
| description | This paper presents a classification method based on the KNN-Fuzzy classification algorithm, supported by Genetic Algorithm. It discusses how to consider data clustering according to the Fuzzy logic and its consequences in the area of Data Mining. Analyses are made upon the results obtained in the classification of several data bases in order to demonstrate the proposed theory. |
| doi_str_mv | 10.1007/3-540-36569-9_9 |
| format | Book Chapter |
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A. ; Ebecken, Nelson F. F.</creator><contributor>Palma, José M. L. M ; Hernández, Vicente ; Sousa, A. Augusto ; Waldén, Marina ; Dongarra, Jack</contributor><creatorcontrib>Rosa, José L. A. ; Ebecken, Nelson F. F. ; Palma, José M. L. M ; Hernández, Vicente ; Sousa, A. Augusto ; Waldén, Marina ; Dongarra, Jack</creatorcontrib><description>This paper presents a classification method based on the KNN-Fuzzy classification algorithm, supported by Genetic Algorithm. It discusses how to consider data clustering according to the Fuzzy logic and its consequences in the area of Data Mining. 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Analyses are made upon the results obtained in the classification of several data bases in order to demonstrate the proposed theory.</description><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Computer science; control theory; systems</subject><subject>Exact sciences and technology</subject><subject>Information systems. Data bases</subject><subject>Learning and adaptive systems</subject><subject>Memory organisation. 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Data processing</topic><topic>Software</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rosa, José L. A.</creatorcontrib><creatorcontrib>Ebecken, Nelson F. F.</creatorcontrib><collection>ProQuest Ebook Central - Book Chapters - Demo use only</collection><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rosa, José L. A.</au><au>Ebecken, Nelson F. F.</au><au>Palma, José M. L. M</au><au>Hernández, Vicente</au><au>Sousa, A. 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| fulltext | fulltext |
| identifier | ISSN: 0302-9743 |
| ispartof | High Performance Computing for Computational Science - VECPAR 2002, 2003, Vol.2565, p.126-133 |
| issn | 0302-9743 1611-3349 |
| language | eng |
| recordid | cdi_pascalfrancis_primary_14934321 |
| source | Springer Books |
| subjects | Applied sciences Artificial intelligence Computer science control theory systems Exact sciences and technology Information systems. Data bases Learning and adaptive systems Memory organisation. Data processing Software |
| title | Data Mining for Data Classification Based on the KNN-Fuzzy Method Supported by Genetic Algorithm |
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