{"id":"https://openalex.org/W1742541925","doi":"https://doi.org/10.1109/amt.2005.1505427","title":"Sequential pattern mining and belief revision for adaptive information retrieval","display_name":"Sequential pattern mining and belief revision for adaptive information retrieval","publication_year":2005,"publication_date":"2005-09-09","ids":{"openalex":"https://openalex.org/W1742541925","doi":"https://doi.org/10.1109/amt.2005.1505427","mag":"1742541925"},"language":"en","primary_location":{"id":"doi:10.1109/amt.2005.1505427","is_oa":false,"landing_page_url":"https://doi.org/10.1109/amt.2005.1505427","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2005 International Conference on Active Media Technology, 2005. (AMT 2005).","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/A5084348345","display_name":"Raymond Y.K. Lau","orcid":"https://orcid.org/0000-0002-5751-4550"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]},{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"R.Y.K. Lau","raw_affiliation_strings":["Department of Information Systems City, University of Hong Kong, Kowloon, Hong Kong, China","[Dept. of Inf. Syst., City Univ. of Hong Kong, Kowloon, China]"],"affiliations":[{"raw_affiliation_string":"Department of Information Systems City, University of Hong Kong, Kowloon, Hong Kong, China","institution_ids":["https://openalex.org/I168719708","https://openalex.org/I889458895"]},{"raw_affiliation_string":"[Dept. of Inf. Syst., City Univ. of Hong Kong, Kowloon, China]","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100345833","display_name":"Yu Li","orcid":"https://orcid.org/0000-0002-7245-0284"},"institutions":[{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yuefeng Li","raw_affiliation_strings":["Centre for Information Technology Innovation Faculty of Information Technology, Queensland University of Technology, Brisbane, QLD, Australia","Queensland University of Technology"],"affiliations":[{"raw_affiliation_string":"Centre for Information Technology Innovation Faculty of Information Technology, Queensland University of Technology, Brisbane, QLD, Australia","institution_ids":["https://openalex.org/I160993911"]},{"raw_affiliation_string":"Queensland University of Technology","institution_ids":["https://openalex.org/I160993911"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5084348345"],"corresponding_institution_ids":["https://openalex.org/I168719708","https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.07729309,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"585","last_page":"590"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.9983000159263611,"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/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.9983000159263611,"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":0.9980000257492065,"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"}},{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9973000288009644,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7775245904922485},{"id":"https://openalex.org/keywords/belief-revision","display_name":"Belief revision","score":0.7694491147994995},{"id":"https://openalex.org/keywords/information-overload","display_name":"Information overload","score":0.6634141206741333},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4838184714317322},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.459258496761322},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.4464678466320038},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36044004559516907},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.11862379312515259}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7775245904922485},{"id":"https://openalex.org/C128913409","wikidata":"https://www.wikidata.org/wiki/Q3566063","display_name":"Belief revision","level":2,"score":0.7694491147994995},{"id":"https://openalex.org/C186625053","wikidata":"https://www.wikidata.org/wiki/Q1130191","display_name":"Information overload","level":2,"score":0.6634141206741333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4838184714317322},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.459258496761322},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.4464678466320038},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36044004559516907},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.11862379312515259}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/amt.2005.1505427","is_oa":false,"landing_page_url":"https://doi.org/10.1109/amt.2005.1505427","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2005 International Conference on Active Media Technology, 2005. (AMT 2005).","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":15,"referenced_works":["https://openalex.org/W94242390","https://openalex.org/W128886069","https://openalex.org/W1481348708","https://openalex.org/W1568131624","https://openalex.org/W2048825579","https://openalex.org/W2061936223","https://openalex.org/W2080141097","https://openalex.org/W2122827509","https://openalex.org/W2149420462","https://openalex.org/W2325227998","https://openalex.org/W3128004567","https://openalex.org/W4236010205","https://openalex.org/W6603911572","https://openalex.org/W6605238325","https://openalex.org/W6634043310"],"related_works":["https://openalex.org/W3134493632","https://openalex.org/W1602080981","https://openalex.org/W4242208525","https://openalex.org/W2544661358","https://openalex.org/W1972752099","https://openalex.org/W4245659985","https://openalex.org/W842589350","https://openalex.org/W2484184187","https://openalex.org/W2007619285","https://openalex.org/W1901649692"],"abstract_inverted_index":{"Autonomous":[0],"information":[1,5,23,36,59,87],"agents":[2,88],"alleviate":[3],"the":[4,9,29,76,82,91],"overload":[6],"problem":[7],"on":[8],"Internet.":[10],"The":[11,25],"AGM":[12],"belief":[13,30,83],"revision":[14,31,84],"framework":[15],"provides":[16],"a":[17,34,42,52,71],"rigorous":[18],"foundation":[19],"to":[20,45,89],"develop":[21],"adaptive":[22,86],"agents.":[24],"expressive":[26],"power":[27],"of":[28,41,74],"logic":[32],"allow":[33],"user's":[35],"preferences":[37],"and":[38,48,95],"contextual":[39],"knowledge":[40,57],"retrieval":[43,60],"situation":[44],"be":[46,62],"captured":[47],"reasoned":[49],"about":[50],"within":[51],"single":[53],"logical":[54],"framework.":[55],"Contextual":[56],"for":[58],"can":[61],"acquired":[63],"via":[64],"sequential":[65],"pattern":[66],"mining.":[67],"This":[68],"paper":[69],"illustrates":[70],"novel":[72],"approach":[73],"integrating":[75],"proposed":[77],"data":[78],"mining":[79],"method":[80],"into":[81],"based":[85],"improve":[90],"agents'":[92],"learning":[93],"autonomy":[94],"prediction":[96],"power.":[97]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
