{"id":"https://openalex.org/W2027392065","doi":"https://doi.org/10.1109/icacci.2013.6637419","title":"Pattern identification using rough set clustering for spatio-temporal dataset","display_name":"Pattern identification using rough set clustering for spatio-temporal dataset","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W2027392065","doi":"https://doi.org/10.1109/icacci.2013.6637419","mag":"2027392065"},"language":"en","primary_location":{"id":"doi:10.1109/icacci.2013.6637419","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2013.6637419","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","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/A5021118983","display_name":"Christina Jayakumaran","orcid":"https://orcid.org/0000-0001-6315-2376"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Christina Jayakumaran","raw_affiliation_strings":["Department of Computer Science and Engineering, Easwari Engineering College, Chennai, India","Department of Computer Science and Engineering Easwari, Engineering College, Chennai, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Easwari Engineering College, Chennai, India","institution_ids":[]},{"raw_affiliation_string":"Department of Computer Science and Engineering Easwari, Engineering College, Chennai, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087171916","display_name":"Komathy Karuppanan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Komathy Karuppanan","raw_affiliation_strings":["Department of Computer Science and Engineering, Easwari Engineering College, Chennai, India","Department of Computer Science and Engineering Easwari, Engineering College, Chennai, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Easwari Engineering College, Chennai, India","institution_ids":[]},{"raw_affiliation_string":"Department of Computer Science and Engineering Easwari, Engineering College, Chennai, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5021118983"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7251,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.72282429,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"4","issue":null,"first_page":"1598","last_page":"1603"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9979000091552734,"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/T11106","display_name":"Data Management and Algorithms","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/cluster-analysis","display_name":"Cluster analysis","score":0.875024676322937},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.7399657368659973},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.6721848249435425},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6649879217147827},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.6209751963615417},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5024294853210449},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.47959673404693604},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.47634151577949524},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.46837860345840454},{"id":"https://openalex.org/keywords/single-linkage-clustering","display_name":"Single-linkage clustering","score":0.4614260494709015},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.4503268003463745},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4374887943267822},{"id":"https://openalex.org/keywords/data-stream-clustering","display_name":"Data stream clustering","score":0.4324280321598053},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4316946268081665},{"id":"https://openalex.org/keywords/consensus-clustering","display_name":"Consensus clustering","score":0.4289041757583618},{"id":"https://openalex.org/keywords/determining-the-number-of-clusters-in-a-data-set","display_name":"Determining the number of clusters in a data set","score":0.4267827868461609},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4250994026660919},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.4147317111492157},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2693704664707184},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07338941097259521}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.875024676322937},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.7399657368659973},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.6721848249435425},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6649879217147827},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.6209751963615417},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5024294853210449},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.47959673404693604},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.47634151577949524},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.46837860345840454},{"id":"https://openalex.org/C22648726","wikidata":"https://www.wikidata.org/wiki/Q7523744","display_name":"Single-linkage clustering","level":5,"score":0.4614260494709015},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.4503268003463745},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4374887943267822},{"id":"https://openalex.org/C193143536","wikidata":"https://www.wikidata.org/wiki/Q5227360","display_name":"Data stream clustering","level":5,"score":0.4324280321598053},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4316946268081665},{"id":"https://openalex.org/C186767784","wikidata":"https://www.wikidata.org/wiki/Q5162841","display_name":"Consensus clustering","level":5,"score":0.4289041757583618},{"id":"https://openalex.org/C149872217","wikidata":"https://www.wikidata.org/wiki/Q5265701","display_name":"Determining the number of clusters in a data set","level":5,"score":0.4267827868461609},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4250994026660919},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.4147317111492157},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2693704664707184},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07338941097259521},{"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/icacci.2013.6637419","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2013.6637419","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W30639282","https://openalex.org/W52245175","https://openalex.org/W1673310716","https://openalex.org/W1873178562","https://openalex.org/W1971902491","https://openalex.org/W2022022883","https://openalex.org/W2045069625","https://openalex.org/W2047639823","https://openalex.org/W2048404808","https://openalex.org/W2067167499","https://openalex.org/W2074005500","https://openalex.org/W2078442433","https://openalex.org/W2097747115","https://openalex.org/W2121091434","https://openalex.org/W2127336911","https://openalex.org/W2139839146","https://openalex.org/W2143451122","https://openalex.org/W2147597050","https://openalex.org/W2153233077","https://openalex.org/W2293050121","https://openalex.org/W2473769720","https://openalex.org/W4300114609","https://openalex.org/W6601213763","https://openalex.org/W6632219776","https://openalex.org/W6637131181","https://openalex.org/W6720862309"],"related_works":["https://openalex.org/W2188840951","https://openalex.org/W3186815950","https://openalex.org/W2770741777","https://openalex.org/W2199594781","https://openalex.org/W2559422900","https://openalex.org/W2202413591","https://openalex.org/W2590117803","https://openalex.org/W2171610853","https://openalex.org/W2389934482","https://openalex.org/W2038937869"],"abstract_inverted_index":{"Spatial":[0],"temporal":[1],"data":[2,15,20,31,81,119,156],"mining":[3],"is":[4,21,59],"highly":[5],"demanding":[6],"because":[7],"of":[8,11,14,27,36,44,56,64,79,89,154],"the":[9,18,25,34,41,45,62,76,80,96,112,126,141,152,155],"complexity":[10],"huge":[12],"amount":[13],"collected.":[16],"Interpreting":[17],"spatial":[19,30,42,70,77],"made":[22],"easier":[23],"by":[24],"process":[26],"visualizing":[28],"quantitative":[29],"leading":[32],"to":[33,51,60],"discovery":[35],"interesting":[37],"patterns.":[38],"To":[39],"understand":[40],"structure":[43,78,153],"data,":[46],"better":[47,84],"clustering":[48,98,108,117,130,144],"algorithms":[49],"are":[50,93,136],"be":[52],"used.":[53],"The":[54,87],"purpose":[55],"this":[57],"paper":[58],"investigate":[61],"efforts":[63],"applying":[65],"rough":[66,113,127],"set":[67,73,114,128],"theory":[68,74],"onto":[69],"clustering.":[71,159],"Rough":[72],"utilizes":[75],"resulting":[82],"in":[83,132],"pattern":[85],"identification.":[86],"results":[88],"our":[90],"proposed":[91],"model":[92],"compared":[94,139],"with":[95,140],"hard":[97,142,158],"methods":[99],"such":[100],"as":[101],"single":[102],"linkage,":[103],"ward's":[104],"and":[105],"density":[106],"based":[107,115,129],"which":[109],"proves":[110],"that":[111,125,135],"soft":[116],"converges":[118],"points":[120],"faster.":[121],"Our":[122],"investigation":[123],"shows":[124],"helps":[131],"identifying":[133],"clusters":[134],"more":[137,149],"cohesive":[138],"partitioning":[143],"method.":[145],"Soft":[146],"Clustering":[147],"provides":[148],"information":[150],"about":[151],"than":[157]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}