{"id":"https://openalex.org/W2752279549","doi":"https://doi.org/10.1109/acssc.2017.8335435","title":"Balancing interpretability and predictive accuracy for unsupervised tensor mining","display_name":"Balancing interpretability and predictive accuracy for unsupervised tensor mining","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2752279549","doi":"https://doi.org/10.1109/acssc.2017.8335435","mag":"2752279549"},"language":"en","primary_location":{"id":"doi:10.1109/acssc.2017.8335435","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2017.8335435","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 51st Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1709.01147","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045782775","display_name":"Ishmam Zabir","orcid":null},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ishmam Zabir","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, University of California Riverside","[Department of Electrical and Computer Engineering, University of California Riverside]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, University of California Riverside","institution_ids":["https://openalex.org/I103635307"]},{"raw_affiliation_string":"[Department of Electrical and Computer Engineering, University of California Riverside]","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054849323","display_name":"Evangelos E. Papalexakis","orcid":"https://orcid.org/0000-0002-3411-8483"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Evangelos E. Papalexakis","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, University of California Riverside","Department of Computer Science and Engineering, University of California, Riverside,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, University of California Riverside","institution_ids":["https://openalex.org/I103635307"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, University of California, Riverside,","institution_ids":["https://openalex.org/I103635307"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I103635307"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"708","last_page":"710"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9900000095367432,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9746000170707703,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.9378968477249146},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.7383131980895996},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6182223558425903},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.562275767326355},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5500902533531189},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5262359976768494},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5007479190826416},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5000553131103516},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49209970235824585},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.48951804637908936},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.46348029375076294},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43058642745018005},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22992655634880066},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.0736057460308075}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9378968477249146},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.7383131980895996},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6182223558425903},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.562275767326355},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5500902533531189},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5262359976768494},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5007479190826416},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5000553131103516},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49209970235824585},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.48951804637908936},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.46348029375076294},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43058642745018005},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22992655634880066},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0736057460308075},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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":4,"locations":[{"id":"doi:10.1109/acssc.2017.8335435","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2017.8335435","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 51st Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1709.01147","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1709.01147","pdf_url":"https://arxiv.org/pdf/1709.01147","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"mag:2752279549","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1709.01147.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1709.01147","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1709.01147","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1709.01147","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1709.01147","pdf_url":"https://arxiv.org/pdf/1709.01147","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2752279549.pdf","grobid_xml":"https://content.openalex.org/works/W2752279549.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W1500188831","https://openalex.org/W1519770448","https://openalex.org/W1696910759","https://openalex.org/W1994219736","https://openalex.org/W2042901969","https://openalex.org/W2106221905","https://openalex.org/W2147512299","https://openalex.org/W2156424829","https://openalex.org/W2160047866","https://openalex.org/W2528907418","https://openalex.org/W2963999633"],"related_works":["https://openalex.org/W2963623767","https://openalex.org/W2952196978","https://openalex.org/W2508449853","https://openalex.org/W2978664318","https://openalex.org/W3137438615","https://openalex.org/W2888392564","https://openalex.org/W2972744442","https://openalex.org/W3115199521","https://openalex.org/W2123877644","https://openalex.org/W3128465814","https://openalex.org/W2809809406","https://openalex.org/W3020986168","https://openalex.org/W1995440297","https://openalex.org/W2585821407","https://openalex.org/W3155838589","https://openalex.org/W2167561997","https://openalex.org/W163622898","https://openalex.org/W2791176288","https://openalex.org/W3048575553","https://openalex.org/W3102247329"],"abstract_inverted_index":{"The":[0],"PARAFAC":[1,73],"tensor":[2,45,133],"decomposition":[3],"has":[4],"enjoyed":[5],"an":[6,43],"increasing":[7],"success":[8],"in":[9,64,123],"exploratory":[10],"multi-aspect":[11],"data":[12],"mining":[13,46],"scenarios.":[14],"A":[15],"major":[16],"challenge":[17],"remains":[18],"the":[19,22,28,31,55,59,69,72,88,92,95,103,107],"estimation":[20,112],"of":[21,24,30,57,94,106],"number":[23],"latent":[25],"factors":[26],"(i.e.,":[27],"rank)":[29],"decomposition,":[32,74,108],"which":[33,48],"is":[34],"known":[35],"to":[36,66,86],"yield":[37],"high-quality,":[38],"interpretable":[39],"results.":[40],"Previously,":[41],"AutoTen,":[42,82],"automated":[44],"method":[47],"leverages":[49],"a":[50,120],"well-known":[51],"quality":[52],"heuristic":[53],"from":[54],"field":[56],"Chemometrics,":[58],"Core":[60],"Consistency":[61],"Diagnostic":[62],"(CORCONDIA),":[63],"order":[65],"automatically":[67],"determine":[68],"rank":[70,111,128],"for":[71],"was":[75],"proposed.":[76],"In":[77],"this":[78],"work,":[79],"building":[80],"upon":[81],"we":[83],"set":[84],"out":[85],"explore":[87],"trade-off":[89,125],"between":[90],"1)":[91],"interpretability":[93],"results":[96,116],"(as":[97],"expressed":[98],"by":[99],"CORCONDIA),":[100],"and":[101],"2)":[102],"predictive":[104],"accuracy":[105],"towards":[109,130],"improving":[110],"quality.":[113],"Our":[114],"preliminary":[115],"indicate":[117],"that":[118,124],"striking":[119],"good":[121],"balance":[122],"yields":[126],"high-quality":[127],"estimation,":[129],"achieving":[131],"unsupervised":[132],"mining.":[134]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
