{"id":"https://openalex.org/W3084352702","doi":"https://doi.org/10.4018/ijsi.2020100107","title":"A System for Predictive Data Analytics Using Sequential Rule Mining","display_name":"A System for Predictive Data Analytics Using Sequential Rule Mining","publication_year":2020,"publication_date":"2020-09-08","ids":{"openalex":"https://openalex.org/W3084352702","doi":"https://doi.org/10.4018/ijsi.2020100107","mag":"3084352702"},"language":"en","primary_location":{"id":"doi:10.4018/ijsi.2020100107","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijsi.2020100107","pdf_url":null,"source":{"id":"https://openalex.org/S4210228539","display_name":"International Journal of Software Innovation","issn_l":"2166-7160","issn":["2166-7160","2166-7179"],"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 Software Innovation","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/A5004175924","display_name":"Sandipkumar Chandrakant Sagare","orcid":"https://orcid.org/0000-0003-2774-9399"},"institutions":[{"id":"https://openalex.org/I4210103544","display_name":"DKTE Society's Textile and Engineering Institute","ror":"https://ror.org/014bdwq31","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210103544"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sandipkumar Chandrakant Sagare","raw_affiliation_strings":["D.K.T.E. Society's Textile and Engineering Institute, Ichalkaranji, India"],"raw_orcid":"https://orcid.org/0000-0003-2774-9399","affiliations":[{"raw_affiliation_string":"D.K.T.E. Society's Textile and Engineering Institute, Ichalkaranji, India","institution_ids":["https://openalex.org/I4210103544"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062914227","display_name":"Suresh Shirgave","orcid":null},"institutions":[{"id":"https://openalex.org/I4210103544","display_name":"DKTE Society's Textile and Engineering Institute","ror":"https://ror.org/014bdwq31","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210103544"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Suresh Kallu Shirgave","raw_affiliation_strings":["D.K.T.E. Society's Textile and Engineering Institute, Ichalkaranji, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"D.K.T.E. Society's Textile and Engineering Institute, Ichalkaranji, India","institution_ids":["https://openalex.org/I4210103544"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033509046","display_name":"D. V. Kodavade","orcid":null},"institutions":[{"id":"https://openalex.org/I4210103544","display_name":"DKTE Society's Textile and Engineering Institute","ror":"https://ror.org/014bdwq31","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210103544"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dattatraya Vishnu Kodavade","raw_affiliation_strings":["D.K.T.E. Society's Textile and Engineering Institute, Ichalkaranji, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"D.K.T.E. Society's Textile and Engineering Institute, Ichalkaranji, India","institution_ids":["https://openalex.org/I4210103544"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210103544"],"apc_list":null,"apc_paid":null,"fwci":0.2721,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.65669564,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"8","issue":"4","first_page":"78","last_page":"94"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9998999834060669,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9965000152587891,"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/T11106","display_name":"Data Management and Algorithms","score":0.9769999980926514,"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/predictive-analytics","display_name":"Predictive analytics","score":0.7541526556015015},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7296332120895386},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6697617173194885},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.6349145174026489},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.6061442494392395},{"id":"https://openalex.org/keywords/decision-rule","display_name":"Decision rule","score":0.5157309174537659},{"id":"https://openalex.org/keywords/data-analysis","display_name":"Data analysis","score":0.48137930035591125},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.47921544313430786},{"id":"https://openalex.org/keywords/affinity-analysis","display_name":"Affinity analysis","score":0.4677581489086151},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4604080617427826},{"id":"https://openalex.org/keywords/rule-based-system","display_name":"Rule-based system","score":0.444705605506897},{"id":"https://openalex.org/keywords/stock-market-prediction","display_name":"Stock market prediction","score":0.4378206729888916},{"id":"https://openalex.org/keywords/business-intelligence","display_name":"Business intelligence","score":0.43304044008255005},{"id":"https://openalex.org/keywords/stock-market","display_name":"Stock market","score":0.4294359087944031},{"id":"https://openalex.org/keywords/business-analytics","display_name":"Business analytics","score":0.424164354801178},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3580033779144287},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.313924640417099},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.23930266499519348},{"id":"https://openalex.org/keywords/business-analysis","display_name":"Business analysis","score":0.09247288107872009},{"id":"https://openalex.org/keywords/business-model","display_name":"Business model","score":0.08362141251564026},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.08305561542510986}],"concepts":[{"id":"https://openalex.org/C83209312","wikidata":"https://www.wikidata.org/wiki/Q1053367","display_name":"Predictive analytics","level":2,"score":0.7541526556015015},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7296332120895386},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6697617173194885},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.6349145174026489},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.6061442494392395},{"id":"https://openalex.org/C84839998","wikidata":"https://www.wikidata.org/wiki/Q5249245","display_name":"Decision rule","level":2,"score":0.5157309174537659},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.48137930035591125},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.47921544313430786},{"id":"https://openalex.org/C23906176","wikidata":"https://www.wikidata.org/wiki/Q727515","display_name":"Affinity analysis","level":3,"score":0.4677581489086151},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4604080617427826},{"id":"https://openalex.org/C149271511","wikidata":"https://www.wikidata.org/wiki/Q1417149","display_name":"Rule-based system","level":2,"score":0.444705605506897},{"id":"https://openalex.org/C2776256503","wikidata":"https://www.wikidata.org/wiki/Q7617906","display_name":"Stock market prediction","level":4,"score":0.4378206729888916},{"id":"https://openalex.org/C2767350","wikidata":"https://www.wikidata.org/wiki/Q6662173","display_name":"Business intelligence","level":2,"score":0.43304044008255005},{"id":"https://openalex.org/C2780299701","wikidata":"https://www.wikidata.org/wiki/Q475000","display_name":"Stock market","level":3,"score":0.4294359087944031},{"id":"https://openalex.org/C37952496","wikidata":"https://www.wikidata.org/wiki/Q5001829","display_name":"Business analytics","level":4,"score":0.424164354801178},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3580033779144287},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.313924640417099},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.23930266499519348},{"id":"https://openalex.org/C189076506","wikidata":"https://www.wikidata.org/wiki/Q1518232","display_name":"Business analysis","level":3,"score":0.09247288107872009},{"id":"https://openalex.org/C4216890","wikidata":"https://www.wikidata.org/wiki/Q815823","display_name":"Business model","level":2,"score":0.08362141251564026},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.08305561542510986},{"id":"https://openalex.org/C2780762169","wikidata":"https://www.wikidata.org/wiki/Q5905368","display_name":"Horse","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4018/ijsi.2020100107","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijsi.2020100107","pdf_url":null,"source":{"id":"https://openalex.org/S4210228539","display_name":"International Journal of Software Innovation","issn_l":"2166-7160","issn":["2166-7160","2166-7179"],"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 Software Innovation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.75}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W151863654","https://openalex.org/W205004613","https://openalex.org/W1608194207","https://openalex.org/W1990142825","https://openalex.org/W2048528401","https://openalex.org/W2122468393","https://openalex.org/W2123488392","https://openalex.org/W2127125676","https://openalex.org/W2128343678","https://openalex.org/W2133699278","https://openalex.org/W2139754543","https://openalex.org/W2156026066","https://openalex.org/W2158454296","https://openalex.org/W2166559705","https://openalex.org/W2168196587","https://openalex.org/W2507635762","https://openalex.org/W6606194391"],"related_works":["https://openalex.org/W1705405680","https://openalex.org/W4206239061","https://openalex.org/W1494855542","https://openalex.org/W4361799268","https://openalex.org/W2570647323","https://openalex.org/W3215602521","https://openalex.org/W2564406132","https://openalex.org/W2047914960","https://openalex.org/W4205635930","https://openalex.org/W2863268765"],"abstract_inverted_index":{"In":[0],"the":[1,5,8,19,22,50],"current":[2],"scenario":[3],"of":[4,10,38,55,103],"business":[6],"world,":[7],"importance":[9],"data":[11,35,47],"analytics":[12,48],"is":[13],"quite":[14],"large.":[15],"It":[16],"certainly":[17],"benefits":[18],"businesses":[20,66],"in":[21,67,101],"decision-making":[23],"process.":[24],"Sequential":[25],"rule":[26,52],"mining":[27,53],"can":[28,64],"be":[29],"widely":[30],"utilized":[31],"to":[32],"extract":[33],"important":[34],"having":[36],"variety":[37],"applications":[39],"like":[40],"e-commerce,":[41],"stock":[42],"market":[43],"analysis,":[44],"etc.":[45],"Predictive":[46],"using":[49],"sequential":[51,61,80],"consists":[54],"analyzing":[56],"input":[57],"sequences":[58],"and":[59],"finding":[60],"rules":[62,81],"that":[63,77,93,97],"help":[65],"decision":[68],"making.":[69],"This":[70],"article":[71],"presents":[72],"an":[73,86],"approach":[74],"called":[75],"M_TRuleGrowth":[76,98],"generates":[78],"partially-ordered":[79],"efficiently.":[82],"The":[83],"authors":[84],"conducted":[85],"experimental":[87],"evaluation":[88],"on":[89],"real":[90],"world":[91],"dataset":[92],"provides":[94],"strong":[95],"evidence":[96],"performs":[99],"better":[100],"terms":[102],"execution":[104],"time.":[105]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T06:19:23.411458","created_date":"2025-10-10T00:00:00"}