{"id":"https://openalex.org/W3210611139","doi":"https://doi.org/10.1109/dsaa53316.2021.9564194","title":"Mining Mavericks - A data-driven approach to detect spend leakage","display_name":"Mining Mavericks - A data-driven approach to detect spend leakage","publication_year":2021,"publication_date":"2021-10-06","ids":{"openalex":"https://openalex.org/W3210611139","doi":"https://doi.org/10.1109/dsaa53316.2021.9564194","mag":"3210611139"},"language":"en","primary_location":{"id":"doi:10.1109/dsaa53316.2021.9564194","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsaa53316.2021.9564194","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA)","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/A5035071879","display_name":"Priyadarshi","orcid":null},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Priyadarshi","raw_affiliation_strings":["Digitate, Tata Consultancy Services,India","Digitate, Tata Consultancy Services, India"],"affiliations":[{"raw_affiliation_string":"Digitate, Tata Consultancy Services,India","institution_ids":["https://openalex.org/I55215948"]},{"raw_affiliation_string":"Digitate, Tata Consultancy Services, India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029178984","display_name":"Anish Chaugule","orcid":null},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anish Chaugule","raw_affiliation_strings":["Digitate, Tata Consultancy Services,India","Digitate, Tata Consultancy Services, India"],"affiliations":[{"raw_affiliation_string":"Digitate, Tata Consultancy Services,India","institution_ids":["https://openalex.org/I55215948"]},{"raw_affiliation_string":"Digitate, Tata Consultancy Services, India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111892613","display_name":"Maitreya Natu","orcid":null},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Maitreya Natu","raw_affiliation_strings":["Digitate, Tata Consultancy Services,India","Digitate, Tata Consultancy Services, India"],"affiliations":[{"raw_affiliation_string":"Digitate, Tata Consultancy Services,India","institution_ids":["https://openalex.org/I55215948"]},{"raw_affiliation_string":"Digitate, Tata Consultancy Services, India","institution_ids":["https://openalex.org/I55215948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5035071879"],"corresponding_institution_ids":["https://openalex.org/I55215948"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.16042545,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9854999780654907,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9854999780654907,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9821000099182129,"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/T12127","display_name":"Software System Performance and Reliability","score":0.9629999995231628,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/procurement","display_name":"Procurement","score":0.6749911904335022},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6003192663192749},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5769270062446594},{"id":"https://openalex.org/keywords/leakage","display_name":"Leakage (economics)","score":0.5529230833053589},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.39897117018699646},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.35976824164390564},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.22527629137039185},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.07239574193954468},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.07135787606239319}],"concepts":[{"id":"https://openalex.org/C201650216","wikidata":"https://www.wikidata.org/wiki/Q829492","display_name":"Procurement","level":2,"score":0.6749911904335022},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6003192663192749},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5769270062446594},{"id":"https://openalex.org/C2777042071","wikidata":"https://www.wikidata.org/wiki/Q6509304","display_name":"Leakage (economics)","level":2,"score":0.5529230833053589},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.39897117018699646},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.35976824164390564},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.22527629137039185},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.07239574193954468},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.07135787606239319},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dsaa53316.2021.9564194","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsaa53316.2021.9564194","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA)","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":4,"referenced_works":["https://openalex.org/W2053234021","https://openalex.org/W2127577941","https://openalex.org/W3006448378","https://openalex.org/W6773749172"],"related_works":["https://openalex.org/W4382807753","https://openalex.org/W2910979491","https://openalex.org/W2064266244","https://openalex.org/W2905337732","https://openalex.org/W2910018200","https://openalex.org/W4237857337","https://openalex.org/W2947604111","https://openalex.org/W3124718809","https://openalex.org/W3124965169","https://openalex.org/W1588366723"],"abstract_inverted_index":{"Spend":[0],"leakage":[1],"in":[2],"the":[3,9,15,19,23,31,41,57,61,73],"procure-to-pay":[4],"process":[5],"is":[6],"one":[7],"of":[8,22,34,43,60,75],"prominent":[10],"challenges":[11],"that":[12],"organizations":[13],"across":[14],"globe":[16],"face.":[17],"Given":[18],"complex":[20],"dynamics":[21,59],"procurement":[24,62,69],"process,":[25,63],"spend":[26],"analysis":[27],"heavily":[28],"relies":[29],"on":[30],"tacit":[32],"knowledge":[33],"experts.":[35],"In":[36],"this":[37,76],"paper,":[38],"we":[39],"address":[40],"problem":[42],"detecting":[44],"maverick":[45],"spends":[46],"using":[47],"a":[48,79],"data":[49],"driven":[50],"approach.":[51],"We":[52,71],"present":[53],"approaches":[54],"to":[55],"model":[56],"behavior":[58],"detect":[64],"mavericks,":[65],"and":[66],"recommend":[67],"alternate":[68],"options.":[70],"demonstrate":[72],"effectiveness":[74],"solution":[77],"through":[78],"real-world":[80],"case-study.":[81]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}