{"id":"https://openalex.org/W3045385338","doi":"https://doi.org/10.37256/ccds.112020418","title":"Machine Learning by Data Mining REPTree and M5P for Predicating Novel Information for PM10","display_name":"Machine Learning by Data Mining REPTree and M5P for Predicating Novel Information for PM10","publication_year":2020,"publication_date":"2020-07-08","ids":{"openalex":"https://openalex.org/W3045385338","doi":"https://doi.org/10.37256/ccds.112020418","mag":"3045385338"},"language":"en","primary_location":{"id":"doi:10.37256/ccds.112020418","doi":"https://doi.org/10.37256/ccds.112020418","is_oa":true,"landing_page_url":"https://doi.org/10.37256/ccds.112020418","pdf_url":"https://ojs.wiserpub.com/index.php/CCDS/article/download/ccds.112020418/298","source":{"id":"https://openalex.org/S4210190635","display_name":"Cloud Computing and Data Science","issn_l":"2737-4106","issn":["2737-4106","2737-4092"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cloud Computing and Data Science","raw_type":"journal-article"},"parent_works":[],"lineage":["https://openalex.org/W3045385338"],"child_works_count":0,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.wiserpub.com/index.php/CCDS/article/download/ccds.112020418/298","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016901515","display_name":"Yas A. Alsultanny","orcid":"https://orcid.org/0000-0002-6211-7074","observed_orcids":["https://orcid.org/0000-0002-6211-7074"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yas Alsultanny","raw_affiliation_strings":["Arab German Academy for Science and Technology, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arab German Academy for Science and Technology, Germany","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5016901515"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6041,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.6020023,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"40","last_page":"48"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9717000126838684,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9717000126838684,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.015200000256299973,"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/T10190","display_name":"Air Quality and Health Impacts","score":0.0038999998942017555,"subfield":{"id":"https://openalex.org/subfields/2307","display_name":"Health, Toxicology and Mutagenesis"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pm10-prediction","display_name":"PM10 prediction","score":0.9049999713897705},{"id":"https://openalex.org/keywords/particulate-matter","display_name":"particulate matter","score":0.7440000176429749},{"id":"https://openalex.org/keywords/meteorological-variables","display_name":"meteorological parameters","score":0.8370000123977661},{"id":"https://openalex.org/keywords/reptree","display_name":"REPTree","score":0.9309999942779541},{"id":"https://openalex.org/keywords/m5p","display_name":"M5P","score":0.9340000152587891},{"id":"https://openalex.org/keywords/decision-tree","display_name":"decision tree","score":0.796999990940094},{"id":"https://openalex.org/keywords/air-pollution","display_name":"air pollution","score":0.5040000081062317},{"id":"https://openalex.org/keywords/humidity","display_name":"humidity","score":0.5059999823570251},{"id":"https://openalex.org/keywords/air-quality-forecasting","display_name":"air quality forecasting","score":0.4180000126361847}],"concepts":[{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.621523380279541},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6147717237472534},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6023209095001221},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5287225842475891},{"id":"https://openalex.org/C140146324","wikidata":"https://www.wikidata.org/wiki/Q1144319","display_name":"Predicate (mathematical logic)","level":2,"score":0.48314470052719116},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.4531072974205017},{"id":"https://openalex.org/C55078378","wikidata":"https://www.wikidata.org/wiki/Q1136628","display_name":"Pearson product-moment correlation coefficient","level":2,"score":0.4256992042064667},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.416444331407547},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3027785122394562},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18944051861763},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.37256/ccds.112020418","doi":"https://doi.org/10.37256/ccds.112020418","is_oa":true,"landing_page_url":"https://doi.org/10.37256/ccds.112020418","pdf_url":"https://ojs.wiserpub.com/index.php/CCDS/article/download/ccds.112020418/298","source":{"id":"https://openalex.org/S4210190635","display_name":"Cloud Computing and Data Science","issn_l":"2737-4106","issn":["2737-4106","2737-4092"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cloud Computing and Data Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.37256/ccds.112020418","doi":"https://doi.org/10.37256/ccds.112020418","is_oa":true,"landing_page_url":"https://doi.org/10.37256/ccds.112020418","pdf_url":"https://ojs.wiserpub.com/index.php/CCDS/article/download/ccds.112020418/298","source":{"id":"https://openalex.org/S4210190635","display_name":"Cloud Computing and Data Science","issn_l":"2737-4106","issn":["2737-4106","2737-4092"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cloud Computing and Data Science","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3045385338.pdf","grobid_xml":"https://content.openalex.org/works/W3045385338.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W1545333017","https://openalex.org/W2008695477","https://openalex.org/W2026489506","https://openalex.org/W2039240409","https://openalex.org/W2057439484","https://openalex.org/W2083146005","https://openalex.org/W2136236151","https://openalex.org/W2140190241","https://openalex.org/W2142827986","https://openalex.org/W2470037530","https://openalex.org/W2486426452","https://openalex.org/W2612542610","https://openalex.org/W2885207308","https://openalex.org/W2978223337","https://openalex.org/W3043987680","https://openalex.org/W3214823556","https://openalex.org/W4242367138","https://openalex.org/W4393261769"],"related_works":["https://openalex.org/W4294612778","https://openalex.org/W4221076635","https://openalex.org/W2117931293","https://openalex.org/W3174346516","https://openalex.org/W4403667566","https://openalex.org/W2487149011","https://openalex.org/W1167691311","https://openalex.org/W2609125377","https://openalex.org/W4383371043","https://openalex.org/W2901795021"],"abstract_inverted_index":{"We":[0],"examined":[1],"data":[2,36],"mining":[3,37],"as":[4],"a":[5],"technique":[6],"to":[7,12,17,26,51],"extract":[8],"knowledge":[9],"from":[10],"database":[11],"predicate":[13,52],"PM10":[14,115],"concentration":[15,57],"related":[16],"meteorological":[18,60],"parameters.":[19,61],"The":[20,62,107],"purpose":[21],"of":[22,32,64,82,96,99],"this":[23],"paper":[24,108],"is":[25,90],"compare":[27],"between":[28],"the":[29,65,84,93],"two":[30],"types":[31],"machine":[33],"learning":[34],"by":[35],"decision":[38],"tree":[39,69],"algorithms":[40],"Reduced":[41],"Error":[42],"Pruning":[43],"Tree":[44],"(REPTree)":[45],"and":[46,48,79,111,116],"divide":[47],"conquer":[49],"M5P":[50,68,112],"Particular":[53],"Matter":[54],"10":[55],"(PM10)":[56],"depending":[58],"on":[59],"results":[63],"analysis":[66],"showed":[67],"gave":[70],"higher":[71,80],"correlation":[72],"compared":[73],"with":[74],"REPTree,":[75],"moreover":[76],"lower":[77],"errors,":[78],"number":[81],"rules,":[83],"elapsed":[85],"time":[86,94],"for":[87,113],"processing":[88,95],"REPTree":[89,110],"less":[91],"than":[92],"M5P.":[97],"Both":[98],"these":[100],"trees":[101],"proved":[102],"that":[103],"humidity":[104],"absorbed":[105],"PM10.":[106],"recommends":[109],"predicting":[114],"other":[117],"pollution":[118],"gases.":[119]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3}],"updated_date":"2026-11-12T12:28:57.059296","created_date":"2020-07-29T00:00:00"}