{"id":"https://openalex.org/W113575107","doi":"https://doi.org/10.1007/978-3-642-35380-2_25","title":"Rule Extraction from DEWNN to Solve Classification and Regression Problems","display_name":"Rule Extraction from DEWNN to Solve Classification and Regression Problems","publication_year":2012,"publication_date":"2012-01-01","ids":{"openalex":"https://openalex.org/W113575107","doi":"https://doi.org/10.1007/978-3-642-35380-2_25","mag":"113575107"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-35380-2_25","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-35380-2_25","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/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"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/A5091181819","display_name":"Nekuri Naveen","orcid":"https://orcid.org/0000-0002-0435-2949"},"institutions":[{"id":"https://openalex.org/I36893310","display_name":"University of Hyderabad","ror":"https://ror.org/04a7rxb17","country_code":"IN","type":"education","lineage":["https://openalex.org/I36893310"]},{"id":"https://openalex.org/I150312865","display_name":"Institute for Development and Research in Banking Technology","ror":"https://ror.org/00ta0g865","country_code":"IN","type":"government","lineage":["https://openalex.org/I150312865"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Nekuri Naveen","raw_affiliation_strings":["Department of Computer & Information Sciences, University of Hyderabad, Hyderabad, 500046, A P, India","Institute for Development and Research in banking Technology, Castle Hills, #1, Masab Tank, Hyderabad, 500057, A P, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer & Information Sciences, University of Hyderabad, Hyderabad, 500046, A P, India","institution_ids":["https://openalex.org/I36893310"]},{"raw_affiliation_string":"Institute for Development and Research in banking Technology, Castle Hills, #1, Masab Tank, Hyderabad, 500057, A P, India","institution_ids":["https://openalex.org/I150312865"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073505371","display_name":"Vadlamani Ravi","orcid":"https://orcid.org/0000-0003-0082-6227"},"institutions":[{"id":"https://openalex.org/I150312865","display_name":"Institute for Development and Research in Banking Technology","ror":"https://ror.org/00ta0g865","country_code":"IN","type":"government","lineage":["https://openalex.org/I150312865"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vadlamani Ravi","raw_affiliation_strings":["Institute for Development and Research in banking Technology, Castle Hills, #1, Masab Tank, Hyderabad, 500057, A P, India"],"affiliations":[{"raw_affiliation_string":"Institute for Development and Research in banking Technology, Castle Hills, #1, Masab Tank, Hyderabad, 500057, A P, India","institution_ids":["https://openalex.org/I150312865"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102872282","display_name":"C. Raghavendra Rao","orcid":null},"institutions":[{"id":"https://openalex.org/I36893310","display_name":"University of Hyderabad","ror":"https://ror.org/04a7rxb17","country_code":"IN","type":"education","lineage":["https://openalex.org/I36893310"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Chillarige Raghavendra Rao","raw_affiliation_strings":["Department of Computer & Information Sciences, University of Hyderabad, Hyderabad, 500046, A P, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer & Information Sciences, University of Hyderabad, Hyderabad, 500046, A P, India","institution_ids":["https://openalex.org/I36893310"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5091181819"],"corresponding_institution_ids":["https://openalex.org/I150312865","https://openalex.org/I36893310"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.3172,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.54838292,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"206","last_page":"214"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9984999895095825,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9984999895095825,"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/T10320","display_name":"Neural Networks and Applications","score":0.9968000054359436,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/computer-science","display_name":"Computer science","score":0.7369554042816162},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5978027582168579},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5709092020988464},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5560274124145508},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5094290375709534},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4993588924407959},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4675509035587311},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43018150329589844},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4148050844669342},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1292572021484375},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1242031455039978}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7369554042816162},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5978027582168579},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5709092020988464},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5560274124145508},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5094290375709534},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4993588924407959},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4675509035587311},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43018150329589844},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4148050844669342},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1292572021484375},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1242031455039978}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-642-35380-2_25","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-35380-2_25","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/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1508395088","https://openalex.org/W1512688160","https://openalex.org/W1594031697","https://openalex.org/W1670263352","https://openalex.org/W1966232046","https://openalex.org/W1969109407","https://openalex.org/W1971797045","https://openalex.org/W1989574962","https://openalex.org/W2010284261","https://openalex.org/W2018405686","https://openalex.org/W2020647649","https://openalex.org/W2024303949","https://openalex.org/W2055211875","https://openalex.org/W2058947616","https://openalex.org/W2063046703","https://openalex.org/W2070054490","https://openalex.org/W2074037101","https://openalex.org/W2076360516","https://openalex.org/W2085171379","https://openalex.org/W2088203270","https://openalex.org/W2125055259","https://openalex.org/W2128574460","https://openalex.org/W2133292035","https://openalex.org/W2138563868","https://openalex.org/W2149509893","https://openalex.org/W2162635690","https://openalex.org/W2973651390","https://openalex.org/W2982736960","https://openalex.org/W3085162807","https://openalex.org/W3120740533"],"related_works":["https://openalex.org/W3210877509","https://openalex.org/W3204641204","https://openalex.org/W4225360065","https://openalex.org/W4212852473","https://openalex.org/W1470425429","https://openalex.org/W4283016678","https://openalex.org/W4249746146","https://openalex.org/W4318350883","https://openalex.org/W4205958290","https://openalex.org/W4366376591"],"abstract_inverted_index":null,"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"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"}
