{"id":"https://openalex.org/W2069708095","doi":"https://doi.org/10.1145/2396761.2398727","title":"InCaToMi","display_name":"InCaToMi","publication_year":2012,"publication_date":"2012-10-29","ids":{"openalex":"https://openalex.org/W2069708095","doi":"https://doi.org/10.1145/2396761.2398727","mag":"2069708095"},"language":"en","primary_location":{"id":"doi:10.1145/2396761.2398727","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2396761.2398727","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM international conference on Information and knowledge management","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/A5110134285","display_name":"Hyun Duk Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hyun Duk Kim","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Urbana, IL, USA","University of Illinois at Urbana/Champaign, Urbana, IL, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"University of Illinois at Urbana/Champaign, Urbana, IL, USA#TAB#","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028518494","display_name":"ChengXiang Zhai","orcid":"https://orcid.org/0000-0002-6434-3702"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"ChengXiang Zhai","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Urbana, IL, USA","University of Illinois at Urbana/Champaign, Urbana, IL, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"University of Illinois at Urbana/Champaign, Urbana, IL, USA#TAB#","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035382643","display_name":"Thomas A. Rietz","orcid":"https://orcid.org/0000-0001-9875-4780"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas A. Rietz","raw_affiliation_strings":["The University of Iowa, Iowa City, IA, USA",", The University of Iowa, Iowa City, IA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Iowa, Iowa City, IA, USA","institution_ids":["https://openalex.org/I126307644"]},{"raw_affiliation_string":", The University of Iowa, Iowa City, IA, USA","institution_ids":["https://openalex.org/I126307644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034321268","display_name":"Daniel Diermeier","orcid":null},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel Diermeier","raw_affiliation_strings":["Northwestern University, Evanston, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109925930","display_name":"Meichun Hsu","orcid":null},"institutions":[{"id":"https://openalex.org/I1324840837","display_name":"Hewlett-Packard (United States)","ror":"https://ror.org/059rn9488","country_code":"US","type":"company","lineage":["https://openalex.org/I1324840837"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Meichun Hsu","raw_affiliation_strings":["HP Laboratories, Palo Alto, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HP Laboratories, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I1324840837"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110218927","display_name":"Mal\u00fa Castellanos","orcid":null},"institutions":[{"id":"https://openalex.org/I1324840837","display_name":"Hewlett-Packard (United States)","ror":"https://ror.org/059rn9488","country_code":"US","type":"company","lineage":["https://openalex.org/I1324840837"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Malu Castellanos","raw_affiliation_strings":["HP Laboratories, Palo Alto, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HP Laboratories, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I1324840837"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020667689","display_name":"Carlos A. Ceja Limon","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Carlos A. Ceja Limon","raw_affiliation_strings":["HP Laboratories, Guadalajara, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HP Laboratories, Guadalajara, Mexico","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7691,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.86824771,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2689","last_page":"2691"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9993000030517578,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9993000030517578,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9937999844551086,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9904999732971191,"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":0.790564775466919},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5176616311073303},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5140034556388855},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.48514994978904724},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.46760645508766174},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.4534185528755188},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.40975305438041687},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3802661895751953},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.35687315464019775},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33137768507003784},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.15152820944786072},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.09572473168373108}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.790564775466919},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5176616311073303},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5140034556388855},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.48514994978904724},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.46760645508766174},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.4534185528755188},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.40975305438041687},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3802661895751953},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35687315464019775},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33137768507003784},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15152820944786072},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.09572473168373108},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2396761.2398727","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2396761.2398727","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM international conference on Information and knowledge management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1578796163","https://openalex.org/W1880262756","https://openalex.org/W2072644219","https://openalex.org/W2097940802","https://openalex.org/W2098062695","https://openalex.org/W2101567517","https://openalex.org/W2107743791","https://openalex.org/W2129294185","https://openalex.org/W2171343266","https://openalex.org/W2171468534","https://openalex.org/W2918006871","https://openalex.org/W3121654897","https://openalex.org/W4233135949","https://openalex.org/W6674735981","https://openalex.org/W6679131632","https://openalex.org/W6685275399"],"related_works":["https://openalex.org/W3200230513","https://openalex.org/W1919101720","https://openalex.org/W4390822878","https://openalex.org/W2769501189","https://openalex.org/W2226452791","https://openalex.org/W2119012848","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660","https://openalex.org/W4385335406"],"abstract_inverted_index":{"Topic":[0,62],"modeling":[1,10,103,113],"is":[2,20],"popular":[3],"for":[4],"text":[5,57,81],"mining":[6,58],"tasks.":[7],"Recently,":[8],"topic":[9,48,102,125],"has":[11,36],"been":[12],"combined":[13],"with":[14],"time":[15,25,41,70,86,97,107],"lines":[16],"when":[17],"textual":[18,67,121],"data":[19,27,43,82,88,99,109,122],"related":[21],"to":[22,110],"external":[23,39,84],"non-textual":[24,40,69,85,96],"series":[26,42,71,87,98,108],"such":[28],"as":[29],"stock":[30],"prices.":[31],"However,":[32],"no":[33],"previous":[34],"work":[35],"used":[37],"the":[38,45,95,101,106,120],"in":[44,100],"process":[46],"of":[47],"modeling.":[49],"In":[50],"this":[51],"paper,":[52],"we":[53],"describe":[54],"a":[55],"novel":[56],"system,":[59],"Integrative":[60],"Causal":[61],"Miner":[63],"(InCaToMi)":[64],"that":[65],"integrates":[66],"and":[68,78,83,119,126],"data.":[72],"InCaToMi":[73,93],"automatically":[74],"finds":[75],"causal":[76],"relationships":[77],"topics":[79],"using":[80,89,105],"Granger":[90],"Testing.":[91],"Moreover,":[92],"considers":[94],"process,":[104],"iteratively":[111],"improve":[112],"results":[114],"through":[115],"interactions":[116],"between":[117],"it":[118],"at":[123],"both":[124],"word":[127],"levels.":[128]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2016-06-24T00:00:00"}
