{"id":"https://openalex.org/W2115812089","doi":"https://doi.org/10.1109/ijcnn.2003.1224026","title":"Neural networks and rule extraction for prediction and explanation in the marketing domain","display_name":"Neural networks and rule extraction for prediction and explanation in the marketing domain","publication_year":2004,"publication_date":"2004-06-22","ids":{"openalex":"https://openalex.org/W2115812089","doi":"https://doi.org/10.1109/ijcnn.2003.1224026","mag":"2115812089"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2003.1224026","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2003.1224026","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Joint Conference on Neural Networks, 2003.","raw_type":"proceedings-article"},"type":"article","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/A5103036745","display_name":"Ulf Johansson","orcid":"https://orcid.org/0000-0003-0412-6199"},"institutions":[{"id":"https://openalex.org/I992397","display_name":"University of Bor\u00e5s","ror":"https://ror.org/01fdxwh83","country_code":"SE","type":"education","lineage":["https://openalex.org/I992397"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"U. Johansson","raw_affiliation_strings":["Department of Business and Informatics, University of Bor\u00e5s, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Business and Informatics, University of Bor\u00e5s, Sweden","institution_ids":["https://openalex.org/I992397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072426290","display_name":"Cecilia S\u00f6nstr\u00f6d","orcid":"https://orcid.org/0009-0009-0404-2586"},"institutions":[{"id":"https://openalex.org/I992397","display_name":"University of Bor\u00e5s","ror":"https://ror.org/01fdxwh83","country_code":"SE","type":"education","lineage":["https://openalex.org/I992397"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"C. Sonstrod","raw_affiliation_strings":["Department of Business and Informatics, University of Bor\u00e5s, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Business and Informatics, University of Bor\u00e5s, Sweden","institution_ids":["https://openalex.org/I992397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028161117","display_name":"Rikard K\u00f6nig","orcid":null},"institutions":[{"id":"https://openalex.org/I992397","display_name":"University of Bor\u00e5s","ror":"https://ror.org/01fdxwh83","country_code":"SE","type":"education","lineage":["https://openalex.org/I992397"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"R. Konig","raw_affiliation_strings":["Department of Business and Informatics, University of Bor\u00e5s, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Business and Informatics, University of Bor\u00e5s, Sweden","institution_ids":["https://openalex.org/I992397"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060288254","display_name":"Lars Niklasson","orcid":null},"institutions":[{"id":"https://openalex.org/I205158640","display_name":"University of Sk\u00f6vde","ror":"https://ror.org/051mrsz47","country_code":"SE","type":"education","lineage":["https://openalex.org/I205158640"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"L. Niklasson","raw_affiliation_strings":["Department of Computer Science, University of Sk\u00f6vde, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Sk\u00f6vde, Sweden","institution_ids":["https://openalex.org/I205158640"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103036745"],"corresponding_institution_ids":["https://openalex.org/I992397"],"apc_list":null,"apc_paid":null,"fwci":2.6982,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.90983123,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"4","issue":null,"first_page":"2866","last_page":"2871"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9948999881744385,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9948999881744385,"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"}},{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9925000071525574,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.7926867008209229},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7187133431434631},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.634605884552002},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.6152082085609436},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5642572045326233},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48435673117637634},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42667871713638306},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11229825019836426}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7926867008209229},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7187133431434631},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.634605884552002},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.6152082085609436},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5642572045326233},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48435673117637634},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42667871713638306},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11229825019836426},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2003.1224026","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2003.1224026","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Joint Conference on Neural Networks, 2003.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1546647560","https://openalex.org/W1580142630","https://openalex.org/W1601888683","https://openalex.org/W1955600018","https://openalex.org/W1983362322","https://openalex.org/W2063046703","https://openalex.org/W2100923811","https://openalex.org/W2110485445","https://openalex.org/W2113882472","https://openalex.org/W2122410182","https://openalex.org/W2143908786","https://openalex.org/W2623293810","https://openalex.org/W4254816979","https://openalex.org/W6635058605","https://openalex.org/W6640950511","https://openalex.org/W6676885637"],"related_works":["https://openalex.org/W2968285896","https://openalex.org/W2102997898","https://openalex.org/W2549153708","https://openalex.org/W4367596775","https://openalex.org/W2381504162","https://openalex.org/W4285805598","https://openalex.org/W4318240128","https://openalex.org/W2381116869","https://openalex.org/W1983569565","https://openalex.org/W2950487361"],"abstract_inverted_index":{"This":[0],"paper":[1],"contains":[2],"a":[3],"case":[4],"study":[5],"where":[6],"neural":[7,20,65],"networks":[8,21],"are":[9,22],"used":[10,23],"for":[11,24],"prediction":[12],"and":[13,26,67,92],"explanation":[14,91],"in":[15,37],"the":[16,30,47,51,64,68,72,82],"marketing":[17],"domain.":[18],"Initially,":[19],"regression":[25],"classification":[27],"to":[28,85],"predict":[29],"impact":[31],"of":[32],"advertising":[33],"from":[34],"money":[35],"invested":[36],"different":[38],"media":[39],"categories.":[40],"Rule":[41],"extraction":[42],"is":[43,55],"then":[44],"performed":[45],"on":[46,57],"trained":[48],"networks,":[49],"using":[50],"G-REX":[52,76],"method,":[53],"which":[54],"based":[56],"genetic":[58],"programming.":[59],"Results":[60],"show":[61],"that":[62,87],"both":[63],"nets":[66],"extracted":[69],"rules":[70,83],"outperform":[71],"standard":[73],"tool":[74],"See5.":[75],"combines":[77],"high":[78],"performance":[79],"with":[80],"keeping":[81],"short":[84],"ensure":[86],"they":[88],"really":[89],"provide":[90],"not":[93],"obfuscation.":[94]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}