{"id":"https://openalex.org/W2019949412","doi":"https://doi.org/10.4018/jdwm.2007010102","title":"SeqPAM","display_name":"SeqPAM","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2019949412","doi":"https://doi.org/10.4018/jdwm.2007010102","mag":"2019949412"},"language":"en","primary_location":{"id":"doi:10.4018/jdwm.2007010102","is_oa":false,"landing_page_url":"https://doi.org/10.4018/jdwm.2007010102","pdf_url":null,"source":{"id":"https://openalex.org/S53932126","display_name":"International Journal of Data Warehousing and Mining","issn_l":"1548-3924","issn":["1548-3924","1548-3932"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Data Warehousing and Mining","raw_type":"journal-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/A5102001468","display_name":"Pradeep Kumar","orcid":"https://orcid.org/0000-0003-0075-0197"},"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":true,"raw_author_name":"Pradeep Kumar","raw_affiliation_strings":["University of Hyderabad, India","University of Hyderabad, India;"],"affiliations":[{"raw_affiliation_string":"University of Hyderabad, India","institution_ids":["https://openalex.org/I36893310"]},{"raw_affiliation_string":"University of Hyderabad, India;","institution_ids":["https://openalex.org/I36893310"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049423985","display_name":"Raju S. Bapi","orcid":"https://orcid.org/0000-0003-2204-0890"},"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":"Raju S. Bapi","raw_affiliation_strings":["University of Hyderabad, India","University of Hyderabad, India;"],"affiliations":[{"raw_affiliation_string":"University of Hyderabad, India","institution_ids":["https://openalex.org/I36893310"]},{"raw_affiliation_string":"University of Hyderabad, India;","institution_ids":["https://openalex.org/I36893310"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025536862","display_name":"P. Radha Krishna","orcid":null},"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":"P. Radha Krishna","raw_affiliation_strings":["Institute for Development & Research in Banking Technology, India","[Institute for Development and Research in Banking Technology, India]"],"affiliations":[{"raw_affiliation_string":"Institute for Development & Research in Banking Technology, India","institution_ids":["https://openalex.org/I150312865"]},{"raw_affiliation_string":"[Institute for Development and Research in Banking Technology, India]","institution_ids":["https://openalex.org/I150312865"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102001468"],"corresponding_institution_ids":["https://openalex.org/I36893310"],"apc_list":null,"apc_paid":null,"fwci":2.71522825,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.90679629,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"3","issue":"1","first_page":"29","last_page":"53"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9955999851226807,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9955999851226807,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9921000003814697,"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":"Data Management and Algorithms","score":0.9861000180244446,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8670884370803833},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7688243985176086},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.6651933193206787},{"id":"https://openalex.org/keywords/cosine-similarity","display_name":"Cosine similarity","score":0.6237171292304993},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5710729360580444},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5420457124710083},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5285438895225525},{"id":"https://openalex.org/keywords/web-page","display_name":"Web page","score":0.5205722451210022},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.503231942653656},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22258591651916504},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2049720287322998},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.18000304698944092}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8670884370803833},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7688243985176086},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.6651933193206787},{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.6237171292304993},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5710729360580444},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5420457124710083},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5285438895225525},{"id":"https://openalex.org/C21959979","wikidata":"https://www.wikidata.org/wiki/Q36774","display_name":"Web page","level":2,"score":0.5205722451210022},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.503231942653656},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22258591651916504},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2049720287322998},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.18000304698944092},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/jdwm.2007010102","is_oa":false,"landing_page_url":"https://doi.org/10.4018/jdwm.2007010102","pdf_url":null,"source":{"id":"https://openalex.org/S53932126","display_name":"International Journal of Data Warehousing and Mining","issn_l":"1548-3924","issn":["1548-3924","1548-3932"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Data Warehousing and Mining","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jdwm00:v:3:y:2007:i:1:p:29-53","is_oa":false,"landing_page_url":"https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jdwm.2007010102","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2389818373","https://openalex.org/W2220831889","https://openalex.org/W2056226831","https://openalex.org/W3013312691","https://openalex.org/W3027421045","https://openalex.org/W4312683641","https://openalex.org/W2576320324","https://openalex.org/W3215994059","https://openalex.org/W2980386803","https://openalex.org/W4206798987"],"abstract_inverted_index":{"With":[0],"the":[1,4,16,18,38,44,89,99,108,126,131,150,174,193],"growth":[2],"in":[3,60],"number":[5],"of":[6,20,40,46,91,93,101,110,125,152],"Web":[7,21,35,189],"users":[8,42],"and":[9,27,81,121,182],"necessity":[10],"for":[11,65,154,168,188,198],"making":[12],"information":[13],"available":[14],"on":[15,141,146,158,177,192],"Web,":[17],"problem":[19],"personalization":[22,190],"has":[23],"become":[24],"very":[25],"critical":[26],"popular.":[28],"Developers":[29],"are":[30,57,68],"trying":[31],"to":[32,37],"customize":[33],"a":[34,75,112,136,163],"site":[36],"needs":[39],"specific":[41],"with":[43,116],"help":[45],"knowledge":[47],"acquired":[48],"from":[49,129,196],"user":[50,54],"navigational":[51],"behavior.":[52],"Since":[53],"page":[55,94],"visits":[56,95],"intrinsically":[58],"sequential":[59,66,155,170],"nature,":[61],"efficient":[62],"clustering":[63,114,165,169],"algorithms":[64],"data":[67],"needed.":[69],"In":[70],"this":[71],"chapter,":[72],"we":[73,161],"introduce":[74],"similarity":[76,83,118],"preserving":[77],"function":[78],"called":[79],"sequence":[80],"set":[82],"measure":[84],"S3M":[85,153],"that":[86],"captures":[87],"both":[88,130],"order":[90],"occurrence":[92],"as":[96,98],"well":[97],"content":[100],"pages.":[102],"We":[103,172,185],"conducted":[104],"pilot":[105,147],"experiments":[106],"comparing":[107],"results":[109],"PAM,":[111],"standard":[113],"algorithm,":[115,166],"two":[117,178],"measures:":[119],"Cosine":[120],"S3M.":[122],"The":[123],"goodness":[124],"clusters":[127,194],"resulting":[128],"measures":[132],"was":[133],"computed":[134],"using":[135],"cluster":[137],"validation":[138],"technique":[139],"based":[140,191],"average":[142],"levensthein":[143],"distance.":[144],"Results":[145],"dataset":[148],"established":[149],"effectiveness":[151],"data.":[156,171],"Based":[157],"these":[159],"results,":[160],"proposed":[162],"new":[164,175],"SeqPAM":[167,197],"tested":[173],"algorithm":[176],"datasets":[179],"namely,":[180],"cti":[181],"msnbc":[183,199],"datasets.":[184],"provided":[186],"recommendations":[187],"obtained":[195],"dataset.":[200]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2016-06-24T00:00:00"}