{"id":"https://openalex.org/W303059119","doi":null,"title":"Domain Independent Integrated Multimedia Data Mining is a Frivolous Exercise: Classicism vs. Connectionism Debate Revisited.","display_name":"Domain Independent Integrated Multimedia Data Mining is a Frivolous Exercise: Classicism vs. Connectionism Debate Revisited.","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W303059119","mag":"303059119"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.94.1273","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.94.1273","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ftp.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-130/Ahmad.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5060934705","display_name":"Muhammad Aurangzeb Ahmad","orcid":"https://orcid.org/0000-0001-7449-5956","observed_orcids":["https://orcid.org/0000-0001-7449-5956"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Muhammad Aurangzeb Ahmad","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-7449-5956","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5061359226","display_name":"Ankur M. Teredesai","orcid":"https://orcid.org/0000-0002-2112-5895","observed_orcids":["https://orcid.org/0000-0002-2112-5895"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ankur Teredesai","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-2112-5895","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"587","last_page":"594"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9829000234603882,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9829000234603882,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.004600000102072954,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.0015999999595806003,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/image-annotation","display_name":"image annotation","score":0.9279999732971191},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"image retrieval","score":0.6840000152587891},{"id":"https://openalex.org/keywords/image-database-management","display_name":"image database management","score":0.7979999780654907},{"id":"https://openalex.org/keywords/image-representation","display_name":"image representation","score":0.609000027179718},{"id":"https://openalex.org/keywords/contextuality","display_name":"contextuality","score":0.5360000133514404},{"id":"https://openalex.org/keywords/systematicity","display_name":"systematicity","score":0.9509999752044678},{"id":"https://openalex.org/keywords/multimedia-data-mining","display_name":"multimedia data mining","score":0.8199999928474426},{"id":"https://openalex.org/keywords/connectionism","display_name":"connectionism","score":0.4169999957084656}],"concepts":[{"id":"https://openalex.org/C8521452","wikidata":"https://www.wikidata.org/wiki/Q203790","display_name":"Connectionism","level":3,"score":0.7091676592826843},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6591819524765015},{"id":"https://openalex.org/C134017395","wikidata":"https://www.wikidata.org/wiki/Q170292","display_name":"Classicism","level":2,"score":0.6537471413612366},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5247414708137512},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.4578070342540741},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20699357986450195},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1599431335926056},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13919386267662048},{"id":"https://openalex.org/C52119013","wikidata":"https://www.wikidata.org/wiki/Q50637","display_name":"Art history","level":1,"score":0.11235910654067993},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.10746291279792786},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.94.1273","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.94.1273","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ftp.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-130/Ahmad.pdf","raw_type":"text"},{"id":"mag:303059119","doi":null,"is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/conf/wm/wm2005.html#AhmadT05","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Wissensmanagement","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W324585127","https://openalex.org/W654914693","https://openalex.org/W1513593267","https://openalex.org/W1968594024","https://openalex.org/W1996233288","https://openalex.org/W2014151618","https://openalex.org/W2038897673","https://openalex.org/W2063049279","https://openalex.org/W2064853889","https://openalex.org/W2072927260","https://openalex.org/W2138162238","https://openalex.org/W2144764737"],"related_works":["https://openalex.org/W16118806","https://openalex.org/W1564737561","https://openalex.org/W2084317735","https://openalex.org/W7095790770","https://openalex.org/W2129350203","https://openalex.org/W2008002650","https://openalex.org/W7096647459","https://openalex.org/W2401599619","https://openalex.org/W187216283","https://openalex.org/W2956811701"],"abstract_inverted_index":{"Abstract.":[0],"In":[1],"this":[2,82],"paper":[3],"the":[4,7,20,27,59,101,118,129,134],"classicist":[5],"and":[6,32,39,48,105],"connectionist":[8,114],"debate":[9],"is":[10,35,58,79,86],"integrated":[11],"in":[12,81],"a":[13,41,74,90,142],"multimedia":[14],"data":[15,94],"mining":[16,95],"framework.":[17],"Due":[18],"to":[19,29],"ready":[21],"availability":[22],"of":[23,46,61,70,76,103,120,128,131,144],"visual":[24],"information":[25],"digitally,":[26],"problem":[28,53,102,130,137],"store,":[30],"retrieve":[31],"organize":[33],"images":[34],"gaining":[36],"tremendous":[37],"importance":[38],"poses":[40],"serious":[42],"challenge":[43],"for":[44,54],"practitioners":[45],"AI":[47],"databases":[49],"alike.":[50],"The":[51,84],"central":[52],"image":[55,78,108,135],"database":[56],"management":[57],"idea":[60,69],"an":[62,71,77],"annotation":[63,72,92,109,136],"associated":[64],"with":[65],"every":[66],"image.":[67],"This":[68],"as":[73,141],"representation":[75,104],"explored":[80,125],"paper.":[83],"claim":[85],"that":[87],"arriving":[88],"at":[89],"suitable":[91],"using":[93],"techniques":[96,110],"however":[97],"does":[98],"not":[99,123],"solve":[100],"reference.":[106],"Most":[107],"are":[111],"classicist,":[112],"while":[113],"approaches":[115],"which":[116],"have":[117,122],"advantage":[119],"contextuality":[121],"been":[124],"much":[126],"because":[127],"systematicity.":[132],"Consequently":[133],"can":[138],"be":[139],"used":[140],"critique":[143],"both.":[145],"1":[146]},"counts_by_year":[],"updated_date":"2026-09-22T06:50:58.402377","created_date":"2016-06-24T00:00:00"}