{"id":"https://openalex.org/W2958414331","doi":"https://doi.org/10.23919/mipro.2019.8757088","title":"An overview and comparison of free Python libraries for data mining and big data analysis","display_name":"An overview and comparison of free Python libraries for data mining and big data analysis","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2958414331","doi":"https://doi.org/10.23919/mipro.2019.8757088","mag":"2958414331"},"language":"en","primary_location":{"id":"doi:10.23919/mipro.2019.8757088","is_oa":false,"landing_page_url":"https://doi.org/10.23919/mipro.2019.8757088","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)","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/A5085268691","display_name":"Igor Stan\u010din","orcid":null},"institutions":[{"id":"https://openalex.org/I181343428","display_name":"University of Zagreb","ror":"https://ror.org/00mv6sv71","country_code":"HR","type":"education","lineage":["https://openalex.org/I181343428"]}],"countries":["HR"],"is_corresponding":false,"raw_author_name":"I. Stancin","raw_affiliation_strings":["Department of Electronics, University of Zagreb Faculty of Electrical Engineering and Computing, Zagreb, Croatia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics, University of Zagreb Faculty of Electrical Engineering and Computing, Zagreb, Croatia","institution_ids":["https://openalex.org/I181343428"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038428045","display_name":"Alan Jovi\u0107","orcid":"https://orcid.org/0000-0003-3821-8091"},"institutions":[{"id":"https://openalex.org/I181343428","display_name":"University of Zagreb","ror":"https://ror.org/00mv6sv71","country_code":"HR","type":"education","lineage":["https://openalex.org/I181343428"]}],"countries":["HR"],"is_corresponding":false,"raw_author_name":"A. Jovic","raw_affiliation_strings":["Department of Electronics, University of Zagreb Faculty of Electrical Engineering and Computing, Zagreb, Croatia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics, University of Zagreb Faculty of Electrical Engineering and Computing, Zagreb, Croatia","institution_ids":["https://openalex.org/I181343428"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I181343428"],"apc_list":null,"apc_paid":null,"fwci":10.1656,"has_fulltext":false,"cited_by_count":210,"citation_normalized_percentile":{"value":0.98455185,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"977","last_page":"982"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13650","display_name":"Computational Physics and Python Applications","score":0.996999979019165,"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/T13650","display_name":"Computational Physics and Python Applications","score":0.996999979019165,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.979200005531311,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9750000238418579,"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/python","display_name":"Python (programming language)","score":0.925216794013977},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8234641551971436},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.7604959011077881},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.6634560227394104},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5392684936523438},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5112628936767578},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5028038024902344},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.4235166907310486},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3626420497894287},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3500116467475891},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3397253751754761},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3102670907974243},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1099075973033905}],"concepts":[{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.925216794013977},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8234641551971436},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.7604959011077881},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.6634560227394104},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5392684936523438},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5112628936767578},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5028038024902344},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.4235166907310486},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3626420497894287},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3500116467475891},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3397253751754761},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3102670907974243},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1099075973033905},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/mipro.2019.8757088","is_oa":false,"landing_page_url":"https://doi.org/10.23919/mipro.2019.8757088","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)","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":18,"referenced_works":["https://openalex.org/W1571024744","https://openalex.org/W2000190989","https://openalex.org/W2011301426","https://openalex.org/W2031634592","https://openalex.org/W2079589506","https://openalex.org/W2101234009","https://openalex.org/W2104266030","https://openalex.org/W2155893237","https://openalex.org/W2181616869","https://openalex.org/W2402144811","https://openalex.org/W2799462250","https://openalex.org/W2953384591","https://openalex.org/W3005347330","https://openalex.org/W3087827179","https://openalex.org/W6633893416","https://openalex.org/W6675354045","https://openalex.org/W6685764666","https://openalex.org/W6713134421"],"related_works":["https://openalex.org/W2013728941","https://openalex.org/W4225274103","https://openalex.org/W2154046714","https://openalex.org/W2189613078","https://openalex.org/W2579659702","https://openalex.org/W2923661510","https://openalex.org/W1574055964","https://openalex.org/W1965329638","https://openalex.org/W2542318691","https://openalex.org/W3160708108"],"abstract_inverted_index":{"The":[0,25],"popularity":[1],"of":[2,10,19,27,38,63,95,106,116],"Python":[3],"is":[4,15,31,50],"growing,":[5],"especially":[6],"in":[7,47],"the":[8,36,56,104,111,114,117],"field":[9],"data":[11,40,44,82,84,137,144],"science.":[12],"Consequently,":[13],"there":[14],"an":[16],"increasing":[17],"number":[18,105],"free":[20],"libraries":[21,46,73],"available":[22],"for":[23,101,124,136,143,147,154,162],"usage.":[24],"aim":[26],"this":[28],"review":[29],"paper":[30,53],"to":[32,128],"describe":[33],"and":[34,42,58,61,74,90,109,113,152,157,160],"compare":[35],"characteristics":[37],"different":[39],"mining":[41],"big":[43,91,163],"analysis":[45],"Python.":[48],"There":[49],"currently":[51,133],"no":[52],"dealing":[54],"with":[55],"subject":[57],"describing":[59],"pros":[60],"cons":[62],"all":[64],"these":[65],"libraries.":[66],"Here":[67],"we":[68],"consider":[69],"more":[70],"than":[71],"20":[72],"separate":[75],"them":[76],"into":[77],"six":[78],"groups:":[79],"core":[80],"libraries,":[81],"preparation,":[83],"visualization,":[85],"machine":[86,148],"learning,":[87],"deep":[88,155],"learning":[89],"data.":[92,164],"Beside":[93],"functionalities":[94],"a":[96,129],"certain":[97,130],"library,":[98],"important":[99],"factors":[100],"comparison":[102],"are":[103],"contributors":[107],"developing":[108],"maintaining":[110],"library":[112],"size":[115],"community.":[118],"Bigger":[119],"communities":[120],"mean":[121],"larger":[122],"chances":[123],"easily":[125],"finding":[126],"solution":[127],"problem.":[131],"We":[132],"recommend:":[134],"pandas":[135],"preparation;":[138],"Matplotlib,":[139],"seaborn":[140],"or":[141],"Plotly":[142],"visualization;":[145],"scikit-learn":[146],"leraning;":[149],"TensorFlow,":[150],"Keras":[151],"PyTorch":[153],"learning;":[156],"Hadoop":[158],"Streaming":[159],"PySpark":[161]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":30},{"year":2024,"cited_by_count":47},{"year":2023,"cited_by_count":53},{"year":2022,"cited_by_count":40},{"year":2021,"cited_by_count":23},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
