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Visualizing the WCCI 2006 Knowledge Domain
In this paper, a knowledge domain visualization approach is applied to the computational intelligence held. A so-called concept map based on the abstracts of the papers presented at the WCCI 2006 is constructed and analyzed. The concept map provides an overview of the computational intelligence fiel...
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creator | van Eck, N.J. Waltman, L. van den Berg, J. Kaymak, U. |
description | In this paper, a knowledge domain visualization approach is applied to the computational intelligence held. A so-called concept map based on the abstracts of the papers presented at the WCCI 2006 is constructed and analyzed. The concept map provides an overview of the computational intelligence field by visualizing the associations between the field's main concepts. To analyze recent developments in the computational intelligence field, the concept map is compared with a concept map based on abstracts of the WCCI 2002. The analysis presented in the paper provides insight into the structure of the computational intelligence field and into the most significant developments in the field during the last years. |
doi_str_mv | 10.1109/FUZZY.2006.1681931 |
format | conference_proceeding |
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A so-called concept map based on the abstracts of the papers presented at the WCCI 2006 is constructed and analyzed. The concept map provides an overview of the computational intelligence field by visualizing the associations between the field's main concepts. To analyze recent developments in the computational intelligence field, the concept map is compared with a concept map based on abstracts of the WCCI 2002. The analysis presented in the paper provides insight into the structure of the computational intelligence field and into the most significant developments in the field during the last years.</description><identifier>ISSN: 1098-7584</identifier><identifier>ISBN: 0780394887</identifier><identifier>ISBN: 9780780394889</identifier><identifier>DOI: 10.1109/FUZZY.2006.1681931</identifier><language>eng</language><publisher>IEEE</publisher><subject>Abstracts ; Computational intelligence ; Data mining ; Data visualization ; Evolutionary computation ; Frequency ; Fuzzy systems ; Information analysis ; Neural networks</subject><ispartof>2006 IEEE International Conference on Fuzzy Systems, 2006, p.1671-1678</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1681931$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,4050,4051,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1681931$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>van Eck, N.J.</creatorcontrib><creatorcontrib>Waltman, L.</creatorcontrib><creatorcontrib>van den Berg, J.</creatorcontrib><creatorcontrib>Kaymak, U.</creatorcontrib><title>Visualizing the WCCI 2006 Knowledge Domain</title><title>2006 IEEE International Conference on Fuzzy Systems</title><addtitle>FUZZY</addtitle><description>In this paper, a knowledge domain visualization approach is applied to the computational intelligence held. A so-called concept map based on the abstracts of the papers presented at the WCCI 2006 is constructed and analyzed. The concept map provides an overview of the computational intelligence field by visualizing the associations between the field's main concepts. To analyze recent developments in the computational intelligence field, the concept map is compared with a concept map based on abstracts of the WCCI 2002. The analysis presented in the paper provides insight into the structure of the computational intelligence field and into the most significant developments in the field during the last years.</description><subject>Abstracts</subject><subject>Computational intelligence</subject><subject>Data mining</subject><subject>Data visualization</subject><subject>Evolutionary computation</subject><subject>Frequency</subject><subject>Fuzzy systems</subject><subject>Information analysis</subject><subject>Neural networks</subject><issn>1098-7584</issn><isbn>0780394887</isbn><isbn>9780780394889</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2006</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotj0FLAzEQRgMqWGv_gF5yFnY700l2skdZrZYWvFjFXkrWTGpku5VuRfTXW7Hf5V0eDz6lLhByRCiH4_li8ZKPAIocC4cl4ZE6A3ZApXGOj1Vvb7mMrTOnatB177BfadBY7qmrp9R9-ib9pHald2-in6tqov9ietpuvhoJK9E3m7VP7bk6ib7pZHBgX83Ht4_VfTZ7uJtU17MsIdtdFqWOEiWIJYt25NgQEUQTTAmenAk2cOGCL4Ah1mJCXQdjwRK_CnJA6qvL_24SkeXHNq399nt5uEa_cwpApQ</recordid><startdate>2006</startdate><enddate>2006</enddate><creator>van Eck, N.J.</creator><creator>Waltman, L.</creator><creator>van den Berg, J.</creator><creator>Kaymak, U.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>2006</creationdate><title>Visualizing the WCCI 2006 Knowledge Domain</title><author>van Eck, N.J. ; Waltman, L. ; van den Berg, J. ; Kaymak, U.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-febfefede5351528743330f4d490a384d5d768da6070fbe4dbbd450537ce17d13</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Abstracts</topic><topic>Computational intelligence</topic><topic>Data mining</topic><topic>Data visualization</topic><topic>Evolutionary computation</topic><topic>Frequency</topic><topic>Fuzzy systems</topic><topic>Information analysis</topic><topic>Neural networks</topic><toplevel>online_resources</toplevel><creatorcontrib>van Eck, N.J.</creatorcontrib><creatorcontrib>Waltman, L.</creatorcontrib><creatorcontrib>van den Berg, J.</creatorcontrib><creatorcontrib>Kaymak, U.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE/IET Electronic Library</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>van Eck, N.J.</au><au>Waltman, L.</au><au>van den Berg, J.</au><au>Kaymak, U.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Visualizing the WCCI 2006 Knowledge Domain</atitle><btitle>2006 IEEE International Conference on Fuzzy Systems</btitle><stitle>FUZZY</stitle><date>2006</date><risdate>2006</risdate><spage>1671</spage><epage>1678</epage><pages>1671-1678</pages><issn>1098-7584</issn><isbn>0780394887</isbn><isbn>9780780394889</isbn><abstract>In this paper, a knowledge domain visualization approach is applied to the computational intelligence held. A so-called concept map based on the abstracts of the papers presented at the WCCI 2006 is constructed and analyzed. The concept map provides an overview of the computational intelligence field by visualizing the associations between the field's main concepts. To analyze recent developments in the computational intelligence field, the concept map is compared with a concept map based on abstracts of the WCCI 2002. The analysis presented in the paper provides insight into the structure of the computational intelligence field and into the most significant developments in the field during the last years.</abstract><pub>IEEE</pub><doi>10.1109/FUZZY.2006.1681931</doi><tpages>8</tpages></addata></record> |
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ispartof | 2006 IEEE International Conference on Fuzzy Systems, 2006, p.1671-1678 |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Abstracts Computational intelligence Data mining Data visualization Evolutionary computation Frequency Fuzzy systems Information analysis Neural networks |
title | Visualizing the WCCI 2006 Knowledge Domain |
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