{"id":"https://openalex.org/W2811006276","doi":"https://doi.org/10.1109/uic-atc.2017.8397473","title":"Application of hierarchical temporal memory theory for document categorization","display_name":"Application of hierarchical temporal memory theory for document categorization","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2811006276","doi":"https://doi.org/10.1109/uic-atc.2017.8397473","mag":"2811006276"},"language":"en","primary_location":{"id":"doi:10.1109/uic-atc.2017.8397473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uic-atc.2017.8397473","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2112.14820","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063051809","display_name":"Deven Santosh Shah","orcid":"https://orcid.org/0000-0001-5653-3023"},"institutions":[{"id":"https://openalex.org/I878213199","display_name":"Savitribai Phule Pune University","ror":"https://ror.org/044g6d731","country_code":"IN","type":"education","lineage":["https://openalex.org/I878213199"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Deven Shah","raw_affiliation_strings":["College of Engineering, Pune, India"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Pune, India","institution_ids":["https://openalex.org/I878213199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015661731","display_name":"Pinak Ghate","orcid":null},"institutions":[{"id":"https://openalex.org/I878213199","display_name":"Savitribai Phule Pune University","ror":"https://ror.org/044g6d731","country_code":"IN","type":"education","lineage":["https://openalex.org/I878213199"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pinak Ghate","raw_affiliation_strings":["College of Engineering, Pune, India"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Pune, India","institution_ids":["https://openalex.org/I878213199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034120076","display_name":"Manali Paranjape","orcid":null},"institutions":[{"id":"https://openalex.org/I878213199","display_name":"Savitribai Phule Pune University","ror":"https://ror.org/044g6d731","country_code":"IN","type":"education","lineage":["https://openalex.org/I878213199"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Manali Paranjape","raw_affiliation_strings":["College of Engineering, Pune, India"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Pune, India","institution_ids":["https://openalex.org/I878213199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053443459","display_name":"Amit Kumar","orcid":"https://orcid.org/0000-0002-1342-6073"},"institutions":[{"id":"https://openalex.org/I4210130378","display_name":"Tech Mahindra (India)","ror":"https://ror.org/02p87ey03","country_code":"IN","type":"company","lineage":["https://openalex.org/I1336379959","https://openalex.org/I4210130378"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Amit Kumar","raw_affiliation_strings":["Maker's Lab, Tech Mahindra Ltd., India"],"affiliations":[{"raw_affiliation_string":"Maker's Lab, Tech Mahindra Ltd., India","institution_ids":["https://openalex.org/I4210130378"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5063051809"],"corresponding_institution_ids":["https://openalex.org/I878213199"],"apc_list":null,"apc_paid":null,"fwci":0.45835928,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.73051695,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9970999956130981,"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":0.9970999956130981,"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/T10028","display_name":"Topic Modeling","score":0.9947999715805054,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9944999814033508,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8110496997833252},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.752041220664978},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5950403809547424},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5793643593788147},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.5662330985069275},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42186394333839417},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.41995736956596375},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3817812204360962},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32728415727615356},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08429291844367981}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8110496997833252},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.752041220664978},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5950403809547424},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5793643593788147},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.5662330985069275},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42186394333839417},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.41995736956596375},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3817812204360962},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32728415727615356},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08429291844367981},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/uic-atc.2017.8397473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uic-atc.2017.8397473","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2112.14820","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2112.14820","pdf_url":"https://arxiv.org/pdf/2112.14820","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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2112.14820","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2112.14820","pdf_url":"https://arxiv.org/pdf/2112.14820","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W148949083","https://openalex.org/W1584535387","https://openalex.org/W1983578042","https://openalex.org/W2043213127","https://openalex.org/W2060933499","https://openalex.org/W2063392856","https://openalex.org/W2063596712","https://openalex.org/W2064794832","https://openalex.org/W2073414385","https://openalex.org/W2106069155","https://openalex.org/W2147152072","https://openalex.org/W2158997610","https://openalex.org/W2182189574","https://openalex.org/W2222971467","https://openalex.org/W2287948962","https://openalex.org/W2314677702","https://openalex.org/W2592340788","https://openalex.org/W4236355931","https://openalex.org/W4252434862","https://openalex.org/W6685802597"],"related_works":["https://openalex.org/W2165912799","https://openalex.org/W2735662278","https://openalex.org/W2382615723","https://openalex.org/W4311804456","https://openalex.org/W1987484445","https://openalex.org/W2623658258","https://openalex.org/W2143413548","https://openalex.org/W1969219540","https://openalex.org/W2370459448","https://openalex.org/W2105067402"],"abstract_inverted_index":{"The":[0,38,91,119],"current":[1,39],"work":[2],"intends":[3,41],"to":[4,42],"study":[5,40],"the":[6,9,31,35,51,57,79,83,96,115,138],"performance":[7],"of":[8,17,34,66,137],"Hierarchical":[10],"Temporal":[11],"Memory(HTM)":[12],"theory":[13,28],"for":[14,47,77,113],"automated":[15],"classification":[16],"text":[18,105],"as":[19,21,69],"well":[20],"documents.":[22],"HTM":[23,58,61,124],"is":[24,75,127],"a":[25,64],"biologically":[26],"inspired":[27],"based":[29,142],"on":[30],"working":[32],"principles":[33],"human":[36],"neocortex.":[37],"provide":[43],"an":[44],"alternative":[45],"framework":[46],"document":[48],"categorization":[49],"using":[50],"Spatial":[52,92],"Pooler":[53,93],"learning":[54,141],"algorithm":[55,94],"in":[56,128],"Theory.":[59],"As":[60],"accepts":[62],"only":[63],"stream":[65],"binary":[67,89,97],"data":[68],"input,":[70],"Latent":[71],"Semantic":[72],"Indexing(LSI)":[73],"technique":[74],"used":[76],"extracting":[78],"top":[80],"features":[81],"from":[82],"input":[84,98,104],"and":[85],"converting":[86],"them":[87],"into":[88,99,117],"format.":[90],"converts":[95],"sparse":[100],"patterns":[101,109,116],"with":[102,135],"similar":[103],"having":[106],"overlapping":[107],"spatial":[108],"making":[110],"it":[111],"easy":[112],"classifying":[114],"categories.":[118],"results":[120],"obtained":[121],"prove":[122],"that":[123],"theory,":[125],"although":[126],"its":[129],"nascent":[130],"stages,":[131],"performs":[132],"at":[133],"par":[134],"most":[136],"popular":[139],"machine":[140],"classifiers.":[143]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}