{"id":"https://openalex.org/W2523935384","doi":"https://doi.org/10.5120/cae2016652381","title":"Mining Health Data using Weighted Approach","display_name":"Mining Health Data using Weighted Approach","publication_year":2016,"publication_date":"2016-09-26","ids":{"openalex":"https://openalex.org/W2523935384","doi":"https://doi.org/10.5120/cae2016652381","mag":"2523935384"},"language":"en","primary_location":{"id":"doi:10.5120/cae2016652381","doi":"https://doi.org/10.5120/cae2016652381","is_oa":true,"landing_page_url":"http://doi.org/10.5120/cae2016652381","pdf_url":"https://doi.org/10.5120/cae2016652381","source":{"id":"https://openalex.org/S2765076458","display_name":"Communications on Applied Electronics","issn_l":"2394-4714","issn":["2394-4714"],"is_oa":false,"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":"Communications on Applied Electronics","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://doi.org/10.5120/cae2016652381","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000801946","display_name":"P. Priyanga","orcid":"https://orcid.org/0000-0001-9323-7514","observed_orcids":["https://orcid.org/0000-0001-9323-7514"]},"institutions":[{"id":"https://openalex.org/I4405260736","display_name":"Dayananda Sagar College of Engineering","ror":"https://ror.org/046qksq74","country_code":"IN","type":"education","lineage":["https://openalex.org/I4400573291","https://openalex.org/I4405260736"]},{"id":"https://openalex.org/I4405274789","display_name":"Kammavari Sangham Institute of Technology","ror":"https://ror.org/02bktye12","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405274789"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"P. Priyanga","raw_affiliation_strings":["CSE Dept. , K.S. Institute of Technology Bangalore- 560109","ISE Dept. , Dayananda Sagar College of Engineering Bangalore - 560078 ","CSE Dept.,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CSE Dept. , K.S. Institute of Technology Bangalore- 560109","institution_ids":["https://openalex.org/I4405274789"]},{"raw_affiliation_string":"ISE Dept. , Dayananda Sagar College of Engineering Bangalore - 560078 ","institution_ids":["https://openalex.org/I4405260736"]},{"raw_affiliation_string":"CSE Dept.,","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089842288","display_name":"N C Naveen","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Naveen N.","raw_affiliation_strings":["CSE Dept.,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CSE Dept.,","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.473,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.77698463,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":"5","issue":"10","first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.8320000171661377,"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"}},"topics":[{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.8320000171661377,"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/T14435","display_name":"Information Retrieval and Data Mining","score":0.06870000064373016,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.039900001138448715,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/web-analytics","display_name":"web analytics","score":0.9909999966621399},{"id":"https://openalex.org/keywords/medical-data-mining","display_name":"medical data mining","score":0.8180000185966492},{"id":"https://openalex.org/keywords/health-information-retrieval","display_name":"medical information retrieval","score":0.5370000004768372},{"id":"https://openalex.org/keywords/web-page-ranking","display_name":"web page ranking","score":0.7710000276565552},{"id":"https://openalex.org/keywords/search-engines","display_name":"search engines","score":0.5619999766349792}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5431514978408813},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36535075306892395}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5120/cae2016652381","doi":"https://doi.org/10.5120/cae2016652381","is_oa":true,"landing_page_url":"http://doi.org/10.5120/cae2016652381","pdf_url":"https://doi.org/10.5120/cae2016652381","source":{"id":"https://openalex.org/S2765076458","display_name":"Communications on Applied Electronics","issn_l":"2394-4714","issn":["2394-4714"],"is_oa":false,"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":"Communications on Applied Electronics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.5120/cae2016652381","doi":"https://doi.org/10.5120/cae2016652381","is_oa":true,"landing_page_url":"http://doi.org/10.5120/cae2016652381","pdf_url":"https://doi.org/10.5120/cae2016652381","source":{"id":"https://openalex.org/S2765076458","display_name":"Communications on Applied Electronics","issn_l":"2394-4714","issn":["2394-4714"],"is_oa":false,"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":"Communications on Applied Electronics","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320328620","display_name":"Vision Group on Science and Technology","ror":"https://ror.org/052zwa538"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2523935384.pdf","grobid_xml":"https://content.openalex.org/works/W2523935384.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W58080530","https://openalex.org/W1989993068","https://openalex.org/W1992034625","https://openalex.org/W2061065224","https://openalex.org/W2083305840","https://openalex.org/W2086863338","https://openalex.org/W2126184790","https://openalex.org/W2139880890","https://openalex.org/W2148885851","https://openalex.org/W2149314523","https://openalex.org/W2197919320","https://openalex.org/W2306931392","https://openalex.org/W2328565341","https://openalex.org/W2505667890","https://openalex.org/W3005533972","https://openalex.org/W3138773240","https://openalex.org/W3147875956","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W7100422915","https://openalex.org/W4210551193","https://openalex.org/W2112492677","https://openalex.org/W2571191656","https://openalex.org/W3009826819","https://openalex.org/W3038765435","https://openalex.org/W7097249835","https://openalex.org/W7097576776","https://openalex.org/W2183118987","https://openalex.org/W2373761502"],"abstract_inverted_index":{"Web":[0,109],"Analytics":[1],"(WA)":[2],"is":[3,30,136,143,147],"a":[4,60,81,150],"vital":[5],"area":[6],"in":[7,41,63,96,138,169],"the":[8,17,26,31,46,74,85,90,128,133,141,166,170],"field":[9],"of":[10,19,37,48,87,103,140,158,165],"Data":[11],"Mining":[12],"(DM)":[13],"that":[14,99],"works":[15],"with":[16],"principle":[18],"extracting":[20,125],"interesting":[21],"information":[22,71,168],"or":[23],"knowledge":[24,76,126,163],"from":[25,73,127],"World":[27],"Wide":[28],"Web.WA":[29],"measurement,":[32],"collection,":[33],"analysis":[34],"and":[35,56,92,152,161],"reporting":[36],"Internet":[38,134],"data.The":[39],"research":[40],"WA":[42],"has":[43,79],"led":[44],"to":[45,51,67,101,105,112,148],"development":[47],"new":[49],"techniques":[50],"generate":[52],"automated":[53],"topic":[54],"hierarchies":[55],"web":[57,116,142],"dictionaries.WA":[58],"plays":[59],"major":[61],"role":[62],"health":[64,69,78],"care":[65],"domain,":[66],"search":[68,110],"related":[70],"required":[72],"web.Gathering":[75],"about":[77],"become":[80],"complex":[82],"procedure":[83],"for":[84,124,155],"majority":[86],"users.This":[88],"confuses":[89],"users":[91],"consuming":[93],"more":[94],"time":[95],"overloaded":[97],"data":[98,131,160],"continue":[100],"enlarge.Applications":[102],"DM":[104],"Webpage":[106],"ranking":[107],"helps":[108],"engines":[111],"find":[113],"high":[114],"quality":[115],"pages.In":[117],"this":[118],"paper":[119],"Machine":[120],"Learning":[121],"(ML)":[122],"methods":[123],"large":[129],"medical":[130],"on":[132],"which":[135],"heterogeneous":[137],"nature":[139],"proposed.The":[144],"main":[145],"objective":[146],"develop":[149],"fast":[151],"efficient":[153],"algorithm":[154],"real-time":[156],"processing":[157],"big":[159],"create":[162],"out":[164],"existing":[167],"web.":[171]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-10-07T00:00:00"}
