{"id":"https://openalex.org/W2466641779","doi":"https://doi.org/10.1109/cybersa.2016.7503284","title":"Generating insight from data tailoring analytic algorithms and visualization to address user requirements","display_name":"Generating insight from data tailoring analytic algorithms and visualization to address user requirements","publication_year":2016,"publication_date":"2016-06-01","ids":{"openalex":"https://openalex.org/W2466641779","doi":"https://doi.org/10.1109/cybersa.2016.7503284","mag":"2466641779"},"language":"en","primary_location":{"id":"doi:10.1109/cybersa.2016.7503284","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cybersa.2016.7503284","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference On Cyber Situational Awareness, Data Analytics And Assessment (CyberSA)","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/A5055315918","display_name":"Paul D. Baxter","orcid":"https://orcid.org/0000-0003-2699-3103"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Paul D. Baxter","raw_affiliation_strings":["Cambridge Consultants, Cambridge, UK"],"affiliations":[{"raw_affiliation_string":"Cambridge Consultants, Cambridge, UK","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051167321","display_name":"Trevor Wood","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Trevor M. Wood","raw_affiliation_strings":["Cambridge Consultants, Cambridge, UK"],"affiliations":[{"raw_affiliation_string":"Cambridge Consultants, Cambridge, UK","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5055315918"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04140136,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"38","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.8959000110626221,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.8959000110626221,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.8870999813079834,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.8720999956130981,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8323889374732971},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6563053131103516},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5555946230888367},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.5345733761787415},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.518210232257843},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.5168445706367493},{"id":"https://openalex.org/keywords/business-intelligence","display_name":"Business intelligence","score":0.5089662075042725},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.45854687690734863},{"id":"https://openalex.org/keywords/data-analysis","display_name":"Data analysis","score":0.44433072209358215},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41286787390708923}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8323889374732971},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6563053131103516},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5555946230888367},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.5345733761787415},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.518210232257843},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.5168445706367493},{"id":"https://openalex.org/C2767350","wikidata":"https://www.wikidata.org/wiki/Q6662173","display_name":"Business intelligence","level":2,"score":0.5089662075042725},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.45854687690734863},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.44433072209358215},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41286787390708923},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cybersa.2016.7503284","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cybersa.2016.7503284","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference On Cyber Situational Awareness, Data Analytics And Assessment (CyberSA)","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":5,"referenced_works":["https://openalex.org/W2145069199","https://openalex.org/W2229908198","https://openalex.org/W2612166593","https://openalex.org/W6689475862","https://openalex.org/W6721827378"],"related_works":["https://openalex.org/W4367856707","https://openalex.org/W2048156096","https://openalex.org/W2186032312","https://openalex.org/W3068949829","https://openalex.org/W3130756120","https://openalex.org/W4226266853","https://openalex.org/W2089700089","https://openalex.org/W2158984754","https://openalex.org/W2150941767","https://openalex.org/W3123352720"],"abstract_inverted_index":{"There":[0],"are":[1],"many":[2],"different":[3],"tools":[4],"available":[5],"for":[6,9,17,50,75],"web":[7],"analytics":[8,22],"business":[10],"intelligence":[11],"and":[12,36,94],"empowerment.":[13],"To":[14],"be":[15,44,56],"useful":[16],"a":[18,30,111],"user":[19,95],"community,":[20],"data":[21,53,66,79],"requires":[23],"ascertaining":[24],"the":[25,51,61,70,73,89,106],"users'":[26],"needs":[27],"to":[28,63,67],"drive":[29],"combination":[31,90],"of":[32,41,72,88,91,98],"appropriate":[33],"analytical":[34],"algorithms":[35],"effective":[37],"visualization.":[38],"Should":[39],"any":[40],"these":[42],"three":[43],"missing":[45],"or":[46],"tackled":[47],"without":[48,59],"regard":[49],"others,":[52],"analysis":[54],"will":[55],"carried":[57],"out":[58],"enabling":[60],"users":[62],"move":[64],"from":[65],"action.":[68],"Using":[69],"example":[71],"Transport":[74],"London":[76],"(TfL)":[77],"open":[78],"set":[80],"on":[81],"tube":[82],"journeys":[83],"we":[84],"provide":[85],"two":[86],"examples":[87],"algorithms,":[92],"visualization":[93],"requirements,":[96],"one":[97],"which":[99],"is":[100,108],"described":[101,109],"in":[102],"detail":[103],"here,":[104],"while":[105],"other":[107],"at":[110],"summary":[112],"level.":[113]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}