{"id":"https://openalex.org/W1556020980","doi":"https://doi.org/10.1007/3-540-46119-1_28","title":"Entropy-Based vs. Similarity-Influenced: Attribute Selection Methods for Dialogs Tested on Different Electronic Commerce Domains","display_name":"Entropy-Based vs. Similarity-Influenced: Attribute Selection Methods for Dialogs Tested on Different Electronic Commerce Domains","publication_year":2002,"publication_date":"2002-01-01","ids":{"openalex":"https://openalex.org/W1556020980","doi":"https://doi.org/10.1007/3-540-46119-1_28","mag":"1556020980"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1007/3-540-46119-1_28","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319965","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Springer Nature","Springer Science+Business Media"],"type":"book series"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"book-chapter","type_crossref":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057907292","display_name":"Sascha Schmitt","orcid":null},"institutions":[{"id":"https://openalex.org/I153267046","display_name":"University of Kaiserslautern","ror":"https://ror.org/04zrf7b53","country_code":"DE","type":"education","lineage":["https://openalex.org/I153267046"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sascha Schmitt","raw_affiliation_strings":["University of Kaiserslautern;"],"affiliations":[{"raw_affiliation_string":"University of Kaiserslautern;","institution_ids":["https://openalex.org/I153267046"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008676535","display_name":"Philipp Dopichaj","orcid":null},"institutions":[{"id":"https://openalex.org/I153267046","display_name":"University of Kaiserslautern","ror":"https://ror.org/04zrf7b53","country_code":"DE","type":"education","lineage":["https://openalex.org/I153267046"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Philipp Dopichaj","raw_affiliation_strings":["University of Kaiserslautern;"],"affiliations":[{"raw_affiliation_string":"University of Kaiserslautern;","institution_ids":["https://openalex.org/I153267046"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047324955","display_name":"Patricia Dom\u00ednguez-Mar\u00edn","orcid":null},"institutions":[{"id":"https://openalex.org/I3019415892","display_name":"Fraunhofer Institute for Industrial Mathematics","ror":"https://ror.org/019hjw009","country_code":"DE","type":"facility","lineage":["https://openalex.org/I3019415892","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Patricia Dom\u00ednguez-Mar\u00edn","raw_affiliation_strings":["ITWM - Fraunhofer Institut f\u00fcr Techno- und Wirtschaftsmathematik"],"affiliations":[{"raw_affiliation_string":"ITWM - Fraunhofer Institut f\u00fcr Techno- und Wirtschaftsmathematik","institution_ids":["https://openalex.org/I3019415892"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392,"provenance":"doaj"},"apc_paid":null,"fwci":0.269,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.752825,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":79,"max":80},"biblio":{"volume":null,"issue":null,"first_page":"380","last_page":"394"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Techniques and Applications","score":0.9985,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10538","display_name":"Data Mining Techniques and Applications","score":0.9985,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Trajectory Data Mining and Analysis","score":0.9909,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontology Development","score":0.9805,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.64413416},{"id":"https://openalex.org/keywords/similarity-search","display_name":"Similarity Search","score":0.564889},{"id":"https://openalex.org/keywords/description-logics","display_name":"Description Logics","score":0.514968},{"id":"https://openalex.org/keywords/decision-trees","display_name":"Decision Trees","score":0.50979},{"id":"https://openalex.org/keywords/semantic-trajectories","display_name":"Semantic Trajectories","score":0.506985},{"id":"https://openalex.org/keywords/trajectory-data-mining","display_name":"Trajectory Data Mining","score":0.504803},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.43163544}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7708106},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.64413416},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6278057},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.58407956},{"id":"https://openalex.org/C173853756","wikidata":"https://www.wikidata.org/wiki/Q86915","display_name":"Dialog box","level":2,"score":0.57225126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.51726466},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48463565},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.43163544},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3709303},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3226148},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13686833},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1007/3-540-46119-1_28","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319965","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Springer Nature","Springer Science+Business Media"],"type":"book series"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":22,"referenced_works":["https://openalex.org/W140290188","https://openalex.org/W1515571876","https://openalex.org/W1526038282","https://openalex.org/W1533087746","https://openalex.org/W1586843093","https://openalex.org/W1594249040","https://openalex.org/W178463129","https://openalex.org/W1824113332","https://openalex.org/W1840591879","https://openalex.org/W2043795103","https://openalex.org/W2085575316","https://openalex.org/W2103939263","https://openalex.org/W2125055259","https://openalex.org/W2149706766","https://openalex.org/W2164740164","https://openalex.org/W2478407164","https://openalex.org/W2487799849","https://openalex.org/W2801465942","https://openalex.org/W33286712","https://openalex.org/W4236137412","https://openalex.org/W4285719527","https://openalex.org/W43139504"],"related_works":["https://openalex.org/W4298396513","https://openalex.org/W4233992201","https://openalex.org/W2795961259","https://openalex.org/W2417260800","https://openalex.org/W2283130723","https://openalex.org/W2117933979","https://openalex.org/W2104718772","https://openalex.org/W2098987383","https://openalex.org/W1596203174","https://openalex.org/W103938586"],"abstract_inverted_index":{"Recent":[0],"research":[1],"activities":[2],"in":[3,36,54,79],"the":[4,31,37,55,65,72,76,83,88,104,116,122,125,134],"field":[5],"of":[6,24,33,103,115,124],"attribute":[7,34],"selection":[8,67,105,117],"for":[9],"carrying":[10],"on":[11,18,43,121],"dialogs":[12,126],"with":[13,110],"on-line":[14],"customers":[15],"have":[16],"focused":[17,42],"entropy-based":[19],"approaches":[20],"that":[21,74],"make":[22],"use":[23],"information":[25],"gain":[26],"measures.":[27],"These":[28],"measures":[29,57],"consider":[30],"distribution":[32,81],"values":[35],"case":[38,89],"base":[39,90],"and":[40,93],"are":[41],"their":[44],"ability":[45],"to":[46,132],"reduce":[47],"dialog":[48],"length.":[49],"The":[50,113],"implicit":[51],"knowledge":[52],"contained":[53],"similarity":[56,80],"is":[58,119],"neglected.":[59],"In":[60,96],"previous":[61],"work,":[62],"we":[63,99],"proposed":[64],"similarity-influenced":[66],"method":[68],"simVar,":[69],"which":[70],"selects":[71],"attributes":[73],"induce":[75],"maximum":[77],"change":[78],"amongst":[82],"candidate":[84],"cases,":[85],"thereby":[86],"partitioning":[87],"into":[91],"similar":[92],"dissimilar":[94],"cases.":[95],"this":[97],"paper":[98],"present":[100],"an":[101],"evaluation":[102,135],"methods":[106,118],"using":[107],"three":[108],"domains":[109],"distinct":[111],"characteristics.":[112],"comparison":[114],"based":[120],"quality":[123],"generated.":[127],"Statistical":[128],"analysis":[129],"was":[130],"used":[131],"support":[133],"results.":[136]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W1556020980","counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2024-11-22T21:16:02.985083","created_date":"2016-06-24"}