{"id":"https://openalex.org/W2154173369","doi":"https://doi.org/10.1109/eee.2004.1287354","title":"Using element and document profile for information clustering","display_name":"Using element and document profile for information clustering","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W2154173369","doi":"https://doi.org/10.1109/eee.2004.1287354","mag":"2154173369"},"language":"en","primary_location":{"id":"doi:10.1109/eee.2004.1287354","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eee.2004.1287354","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on e-Technology, e-Commerce and e-Service, 2004. EEE '04. 2004","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/A5101900574","display_name":"Jun Lai","orcid":"https://orcid.org/0000-0002-3608-4985"},"institutions":[{"id":"https://openalex.org/I196829312","display_name":"La Trobe University","ror":"https://ror.org/01rxfrp27","country_code":"AU","type":"education","lineage":["https://openalex.org/I196829312"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"J. Lai","raw_affiliation_strings":["Department of Computer Science and Computer Engineering, La Trobe University, Bundoora, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Computer Engineering, La Trobe University, Bundoora, VIC, Australia","institution_ids":["https://openalex.org/I196829312"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076296279","display_name":"Ben Soh","orcid":"https://orcid.org/0000-0002-9519-886X"},"institutions":[{"id":"https://openalex.org/I196829312","display_name":"La Trobe University","ror":"https://ror.org/01rxfrp27","country_code":"AU","type":"education","lineage":["https://openalex.org/I196829312"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"B. Soh","raw_affiliation_strings":["Department of Computer Science and Computer Engineering, La Trobe University, Bundoora, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Computer Engineering, La Trobe University, Bundoora, VIC, Australia","institution_ids":["https://openalex.org/I196829312"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101900574"],"corresponding_institution_ids":["https://openalex.org/I196829312"],"apc_list":null,"apc_paid":null,"fwci":1.4021,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.8275267,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"503","last_page":"506"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9980999827384949,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9980999827384949,"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"}},{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9976999759674072,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.993399977684021,"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/information-retrieval","display_name":"Information retrieval","score":0.8019452095031738},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7831676602363586},{"id":"https://openalex.org/keywords/document-clustering","display_name":"Document clustering","score":0.7613297700881958},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6008909344673157},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.5751746892929077},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5734689235687256},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5341172814369202},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4953707456588745},{"id":"https://openalex.org/keywords/document-retrieval","display_name":"Document retrieval","score":0.4311523735523224},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.22274786233901978},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14638811349868774}],"concepts":[{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.8019452095031738},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7831676602363586},{"id":"https://openalex.org/C177937566","wikidata":"https://www.wikidata.org/wiki/Q4223102","display_name":"Document clustering","level":3,"score":0.7613297700881958},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6008909344673157},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.5751746892929077},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5734689235687256},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5341172814369202},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4953707456588745},{"id":"https://openalex.org/C161156560","wikidata":"https://www.wikidata.org/wiki/Q1638872","display_name":"Document retrieval","level":2,"score":0.4311523735523224},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.22274786233901978},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14638811349868774},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/eee.2004.1287354","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eee.2004.1287354","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on e-Technology, e-Commerce and e-Service, 2004. EEE '04. 2004","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":9,"referenced_works":["https://openalex.org/W28684573","https://openalex.org/W1479842538","https://openalex.org/W1832138553","https://openalex.org/W2046325278","https://openalex.org/W2092929923","https://openalex.org/W2913066018","https://openalex.org/W4255469293","https://openalex.org/W6601142640","https://openalex.org/W6638522279"],"related_works":["https://openalex.org/W1795405792","https://openalex.org/W2019737068","https://openalex.org/W2899601636","https://openalex.org/W4254379378","https://openalex.org/W3015674157","https://openalex.org/W4206655101","https://openalex.org/W52853789","https://openalex.org/W4237592971","https://openalex.org/W2387982377","https://openalex.org/W2145036943"],"abstract_inverted_index":{"The":[0,55],"tremendous":[1],"growth":[2],"in":[3,17,48],"the":[4,10,18,44,62,73,98,101,111],"amount":[5],"of":[6,12,65,75,97],"information":[7,26,45,124],"available":[8],"and":[9,28,37,126],"number":[11],"visitors":[13,31],"to":[14,71,86],"Web":[15,30],"sites":[16],"recent":[19],"years":[20],"poses":[21],"some":[22],"key":[23],"challenges":[24],"for":[25],"filtering":[27,57,125],"retrieval.":[29,77],"not":[32],"only":[33,60],"expect":[34],"high":[35],"quality":[36],"relevant":[38,63],"information,":[39],"but":[40],"also":[41],"wish":[42],"that":[43],"be":[46,106,129],"presented":[47],"an":[49,88],"as":[50,53],"efficient":[51],"way":[52],"possible.":[54],"traditional":[56],"methods,":[58],"however,":[59],"consider":[61,72],"values":[64],"document.":[66,99],"These":[67],"conventional":[68],"methods":[69],"fail":[70],"efficiency":[74],"documents":[76,109],"In":[78],"this":[79],"paper,":[80],"we":[81],"propose":[82],"a":[83,115],"new":[84],"algorithm":[85],"calculate":[87],"index":[89],"called":[90],"document":[91,103],"similarity":[92,112],"score":[93,113],"based":[94],"on":[95],"elements":[96],"Using":[100,120],"index,":[102],"profile":[104],"will":[105],"derived.":[107],"Any":[108],"with":[110],"above":[114],"given":[116],"threshold":[117],"are":[118],"clustered.":[119],"these":[121],"pre-clustered":[122],"documents,":[123],"retrieval":[127],"can":[128],"made":[130],"more":[131],"efficient.":[132]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
