Preference mining for future home energy consumption
To assess the demand ldquowhat kinds of home equipment will be unveiled in the future?rdquo, this paper presents an experimental analysis for consumers preference. The experimentation consists of four steps: (1) based on the seeds map of technology for energy consumption, six services and their rela...
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| creator | Tsuji, H. Kojoma, M. Takahashi, A. Nakano, M. Aoki, S. Inoue, S. Asari, K. Mimura, E. |
| description | To assess the demand ldquowhat kinds of home equipment will be unveiled in the future?rdquo, this paper presents an experimental analysis for consumers preference. The experimentation consists of four steps: (1) based on the seeds map of technology for energy consumption, six services and their related products for future home are drawn, (2) For the services, questionnaire which collects consumers' preference is designed, (3) to clarify the causal relation among the preference, personal demography and value sense, three kinds of methods (VS-map, VAUD-table, Stepwise Bayesian Network) are proposed, (4) The methods are applied to the collected 1,030 responses to the questionnaire. For example, the experimentation has found the preference such that the unmarried persons make points of convenience in daily life rather than other classes of persons. |
| doi_str_mv | 10.1109/ICSMC.2008.4811874 |
| format | Conference Proceeding |
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The experimentation consists of four steps: (1) based on the seeds map of technology for energy consumption, six services and their related products for future home are drawn, (2) For the services, questionnaire which collects consumers' preference is designed, (3) to clarify the causal relation among the preference, personal demography and value sense, three kinds of methods (VS-map, VAUD-table, Stepwise Bayesian Network) are proposed, (4) The methods are applied to the collected 1,030 responses to the questionnaire. For example, the experimentation has found the preference such that the unmarried persons make points of convenience in daily life rather than other classes of persons.</description><identifier>ISSN: 1062-922X</identifier><identifier>ISBN: 142442383X</identifier><identifier>ISBN: 9781424423835</identifier><identifier>EISSN: 2577-1655</identifier><identifier>EISBN: 1424423848</identifier><identifier>EISBN: 9781424423842</identifier><identifier>DOI: 10.1109/ICSMC.2008.4811874</identifier><identifier>LCCN: 2008903109</identifier><language>eng</language><publisher>IEEE</publisher><subject>Bayesian methods ; Companies ; Demography ; Electronic equipment ; Energy consumption ; Energy resolution ; Home Energy Consumption ; Knowledge Mining ; Marketing Analysis ; Power engineering and energy ; Research and development ; Security ; Value Analysis</subject><ispartof>2008 IEEE International Conference on Systems, Man and Cybernetics, 2008, p.3697-3701</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/4811874$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2056,27924,54919</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4811874$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Tsuji, H.</creatorcontrib><creatorcontrib>Kojoma, M.</creatorcontrib><creatorcontrib>Takahashi, A.</creatorcontrib><creatorcontrib>Nakano, M.</creatorcontrib><creatorcontrib>Aoki, S.</creatorcontrib><creatorcontrib>Inoue, S.</creatorcontrib><creatorcontrib>Asari, K.</creatorcontrib><creatorcontrib>Mimura, E.</creatorcontrib><title>Preference mining for future home energy consumption</title><title>2008 IEEE International Conference on Systems, Man and Cybernetics</title><addtitle>ICSMC</addtitle><description>To assess the demand ldquowhat kinds of home equipment will be unveiled in the future?rdquo, this paper presents an experimental analysis for consumers preference. 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For example, the experimentation has found the preference such that the unmarried persons make points of convenience in daily life rather than other classes of persons.</description><subject>Bayesian methods</subject><subject>Companies</subject><subject>Demography</subject><subject>Electronic equipment</subject><subject>Energy consumption</subject><subject>Energy resolution</subject><subject>Home Energy Consumption</subject><subject>Knowledge Mining</subject><subject>Marketing Analysis</subject><subject>Power engineering and energy</subject><subject>Research and development</subject><subject>Security</subject><subject>Value Analysis</subject><issn>1062-922X</issn><issn>2577-1655</issn><isbn>142442383X</isbn><isbn>9781424423835</isbn><isbn>1424423848</isbn><isbn>9781424423842</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpFkMtOwzAQRc2jEk3hB2DjH0iwZ5zYWaKIR6UikOiiu6qxx8WIJJWTLPr3BFGJ1V0c6ejoMnYrRSalKO-X1cdrlYEQJlNGSqPVGUukAqUAjTLnbA651qks8vziH-Dmks2lKCAtATYzlvwKSoGT8Yolff8lBAglzZyp90ieIrWWeBPa0O657yL34zBG4p9dQ5xaivsjt13bj81hCF17zWZ-993TzWkXbP30uK5e0tXb87J6WKWhFENqrfE1ehQerCuRvBLggCyi0VOWI0RUQM7lhZsggitcrX1tjFSOpMYFu_vTBiLaHmJodvG4Pd2AP4qqS-w</recordid><startdate>200810</startdate><enddate>200810</enddate><creator>Tsuji, H.</creator><creator>Kojoma, M.</creator><creator>Takahashi, A.</creator><creator>Nakano, M.</creator><creator>Aoki, S.</creator><creator>Inoue, S.</creator><creator>Asari, K.</creator><creator>Mimura, E.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>200810</creationdate><title>Preference mining for future home energy consumption</title><author>Tsuji, H. ; Kojoma, M. ; Takahashi, A. ; Nakano, M. ; Aoki, S. ; Inoue, S. ; Asari, K. ; Mimura, E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-cc8fb3f30f2cd93ef402d2ec3387922de33342edd56def432d6db7fb8814de173</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Bayesian methods</topic><topic>Companies</topic><topic>Demography</topic><topic>Electronic equipment</topic><topic>Energy consumption</topic><topic>Energy resolution</topic><topic>Home Energy Consumption</topic><topic>Knowledge Mining</topic><topic>Marketing Analysis</topic><topic>Power engineering and energy</topic><topic>Research and development</topic><topic>Security</topic><topic>Value Analysis</topic><toplevel>online_resources</toplevel><creatorcontrib>Tsuji, H.</creatorcontrib><creatorcontrib>Kojoma, M.</creatorcontrib><creatorcontrib>Takahashi, A.</creatorcontrib><creatorcontrib>Nakano, M.</creatorcontrib><creatorcontrib>Aoki, S.</creatorcontrib><creatorcontrib>Inoue, S.</creatorcontrib><creatorcontrib>Asari, K.</creatorcontrib><creatorcontrib>Mimura, E.</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 Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Tsuji, H.</au><au>Kojoma, M.</au><au>Takahashi, A.</au><au>Nakano, M.</au><au>Aoki, S.</au><au>Inoue, S.</au><au>Asari, K.</au><au>Mimura, E.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Preference mining for future home energy consumption</atitle><btitle>2008 IEEE International Conference on Systems, Man and Cybernetics</btitle><stitle>ICSMC</stitle><date>2008-10</date><risdate>2008</risdate><spage>3697</spage><epage>3701</epage><pages>3697-3701</pages><issn>1062-922X</issn><eissn>2577-1655</eissn><isbn>142442383X</isbn><isbn>9781424423835</isbn><eisbn>1424423848</eisbn><eisbn>9781424423842</eisbn><abstract>To assess the demand ldquowhat kinds of home equipment will be unveiled in the future?rdquo, this paper presents an experimental analysis for consumers preference. The experimentation consists of four steps: (1) based on the seeds map of technology for energy consumption, six services and their related products for future home are drawn, (2) For the services, questionnaire which collects consumers' preference is designed, (3) to clarify the causal relation among the preference, personal demography and value sense, three kinds of methods (VS-map, VAUD-table, Stepwise Bayesian Network) are proposed, (4) The methods are applied to the collected 1,030 responses to the questionnaire. For example, the experimentation has found the preference such that the unmarried persons make points of convenience in daily life rather than other classes of persons.</abstract><pub>IEEE</pub><doi>10.1109/ICSMC.2008.4811874</doi><tpages>5</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 1062-922X |
| ispartof | 2008 IEEE International Conference on Systems, Man and Cybernetics, 2008, p.3697-3701 |
| issn | 1062-922X 2577-1655 |
| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Bayesian methods Companies Demography Electronic equipment Energy consumption Energy resolution Home Energy Consumption Knowledge Mining Marketing Analysis Power engineering and energy Research and development Security Value Analysis |
| title | Preference mining for future home energy consumption |
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