{"id":"https://openalex.org/W3009323043","doi":"https://doi.org/10.1145/3380688.3380701","title":"Cerebro","display_name":"Cerebro","publication_year":2020,"publication_date":"2020-01-17","ids":{"openalex":"https://openalex.org/W3009323043","doi":"https://doi.org/10.1145/3380688.3380701","mag":"3009323043"},"language":"en","primary_location":{"id":"doi:10.1145/3380688.3380701","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3380688.3380701","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on Machine Learning and Soft Computing","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/A5026750375","display_name":"Ankita Sinha","orcid":"https://orcid.org/0000-0003-1623-1201"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ankita Sinha","raw_affiliation_strings":["Intuit Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Intuit Bangalore, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008189300","display_name":"Vignesh Subrahmaniam","orcid":"https://orcid.org/0009-0000-8536-7984"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vignesh Subrahmaniam","raw_affiliation_strings":["Intuit Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Intuit Bangalore, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5026750375"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3084,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.58665951,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"140","last_page":"143"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.984000027179718,"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/computer-science","display_name":"Computer science","score":0.7047710418701172},{"id":"https://openalex.org/keywords/boom","display_name":"Boom","score":0.6502211093902588},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.6312999725341797},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.5196620225906372},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.4137716293334961},{"id":"https://openalex.org/keywords/customer-service","display_name":"Customer service","score":0.4113953709602356},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.40038734674453735},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.33059993386268616},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.24661806225776672},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23088741302490234},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.2168152928352356},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13582882285118103}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7047710418701172},{"id":"https://openalex.org/C141441539","wikidata":"https://www.wikidata.org/wiki/Q1970908","display_name":"Boom","level":2,"score":0.6502211093902588},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.6312999725341797},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.5196620225906372},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.4137716293334961},{"id":"https://openalex.org/C2984334869","wikidata":"https://www.wikidata.org/wiki/Q1060653","display_name":"Customer service","level":3,"score":0.4113953709602356},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.40038734674453735},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.33059993386268616},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.24661806225776672},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23088741302490234},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.2168152928352356},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13582882285118103},{"id":"https://openalex.org/C87717796","wikidata":"https://www.wikidata.org/wiki/Q146326","display_name":"Environmental engineering","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3380688.3380701","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3380688.3380701","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on Machine Learning and Soft Computing","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":7,"referenced_works":["https://openalex.org/W1976526581","https://openalex.org/W2099934438","https://openalex.org/W2144182447","https://openalex.org/W2160660844","https://openalex.org/W2296719434","https://openalex.org/W2983029853","https://openalex.org/W4254182148"],"related_works":["https://openalex.org/W3161710089","https://openalex.org/W2353620890","https://openalex.org/W2353579321","https://openalex.org/W3130795706","https://openalex.org/W3049366059","https://openalex.org/W2088384090","https://openalex.org/W3087499667","https://openalex.org/W2537816284","https://openalex.org/W2383202214","https://openalex.org/W2369795652"],"abstract_inverted_index":{"The":[0],"recent":[1],"boom":[2],"in":[3,28],"e-commerce":[4],"has":[5],"created":[6],"active":[7],"electronic":[8],"communities":[9],"where":[10],"consumers":[11],"share":[12],"their":[13],"thoughts":[14],"about":[15,32,59],"the":[16,19,33,52,60,79,90,96],"product":[17,39],"and":[18],"company.":[20],"These":[21],"reviews":[22,73,91,100],"play":[23],"a":[24,37,67,102],"very":[25],"important":[26],"part":[27],"building":[29],"customer":[30,53],"opinion":[31],"said":[34],"item.":[35],"For":[36],"popular":[38],"or":[40],"service,":[41],"there":[42],"might":[43],"be":[44],"thousands":[45],"of":[46,99],"reviews,":[47],"making":[48],"it":[49],"difficult":[50],"for":[51],"to":[54,69,78,87,95,111],"make":[55],"an":[56],"informed":[57],"decision":[58],"product.":[61],"In":[62],"this":[63,83],"paper,":[64],"we":[65,85],"present":[66],"way":[68],"surface":[70,88],"only":[71],"those":[72],"that":[74,92],"contain":[75],"information":[76],"relevant":[77],"user.":[80],"To":[81],"address":[82],"problem,":[84],"try":[86],"out":[89],"are":[93,106],"outliers":[94],"general":[97],"cluster":[98],"during":[101],"particular":[103],"time":[104],"period.We":[105],"leveraging":[107],"anomaly":[108],"detection":[109],"algorithms":[110],"achieve":[112],"this.":[113]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2020-03-13T00:00:00"}