{"id":"https://openalex.org/W2102296141","doi":"https://doi.org/10.1109/wpnc.2008.4510375","title":"Discovering regular groups of mobile objects using incremental clustering","display_name":"Discovering regular groups of mobile objects using incremental clustering","publication_year":2008,"publication_date":"2008-03-01","ids":{"openalex":"https://openalex.org/W2102296141","doi":"https://doi.org/10.1109/wpnc.2008.4510375","mag":"2102296141"},"language":"en","primary_location":{"id":"doi:10.1109/wpnc.2008.4510375","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wpnc.2008.4510375","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 5th Workshop on Positioning, Navigation and Communication","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/A5019446020","display_name":"Sigal Elnekave","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sigal Elnekave","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066910344","display_name":"Mark Last","orcid":"https://orcid.org/0000-0003-0748-7918"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mark Last","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109252775","display_name":"Oded Maimon","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Oded Maimon","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016591905","display_name":"Yehuda Ben\u2010Shimol","orcid":"https://orcid.org/0000-0002-4905-2085"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yehuda Ben-Shimol","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082504826","display_name":"Hans Einsiedler","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hans Einsiedler","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112319250","display_name":"Menahem Friedman","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Menahem Friedman","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5062065205","display_name":"Matthias Siebert","orcid":"https://orcid.org/0000-0002-1739-5825"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Matthias Siebert","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5019446020"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.493,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.82694866,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"27","issue":null,"first_page":"197","last_page":"205"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9990000128746033,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9965999722480774,"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/cluster-analysis","display_name":"Cluster analysis","score":0.8817527890205383},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7410454750061035},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5971667766571045},{"id":"https://openalex.org/keywords/consensus-clustering","display_name":"Consensus clustering","score":0.5955828428268433},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5676642060279846},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.5502609014511108},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.5252102017402649},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.5116913318634033},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49592265486717224},{"id":"https://openalex.org/keywords/single-linkage-clustering","display_name":"Single-linkage clustering","score":0.43907737731933594},{"id":"https://openalex.org/keywords/flame-clustering","display_name":"FLAME clustering","score":0.4314543604850769},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34982961416244507},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07655853033065796}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8817527890205383},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7410454750061035},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5971667766571045},{"id":"https://openalex.org/C186767784","wikidata":"https://www.wikidata.org/wiki/Q5162841","display_name":"Consensus clustering","level":5,"score":0.5955828428268433},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5676642060279846},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.5502609014511108},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.5252102017402649},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.5116913318634033},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49592265486717224},{"id":"https://openalex.org/C22648726","wikidata":"https://www.wikidata.org/wiki/Q7523744","display_name":"Single-linkage clustering","level":5,"score":0.43907737731933594},{"id":"https://openalex.org/C44859942","wikidata":"https://www.wikidata.org/wiki/Q5426511","display_name":"FLAME clustering","level":5,"score":0.4314543604850769},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34982961416244507},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07655853033065796}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wpnc.2008.4510375","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wpnc.2008.4510375","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 5th Workshop on Positioning, Navigation and Communication","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":14,"referenced_works":["https://openalex.org/W1529653385","https://openalex.org/W1580647336","https://openalex.org/W1585610988","https://openalex.org/W1616729001","https://openalex.org/W1676365440","https://openalex.org/W1990368529","https://openalex.org/W1992419399","https://openalex.org/W2033403400","https://openalex.org/W2060346657","https://openalex.org/W2133123111","https://openalex.org/W2133325640","https://openalex.org/W4244030505","https://openalex.org/W6634782300","https://openalex.org/W6635035540"],"related_works":["https://openalex.org/W2406185607","https://openalex.org/W3175515145","https://openalex.org/W4230655713","https://openalex.org/W2139280638","https://openalex.org/W2071000654","https://openalex.org/W2551136488","https://openalex.org/W2599570117","https://openalex.org/W2379398902","https://openalex.org/W2159372536","https://openalex.org/W2374506950"],"abstract_inverted_index":{"As":[0],"technology":[1],"advances,":[2],"detailed":[3],"data":[4],"on":[5,67],"the":[6],"position":[7],"of":[8,23,45],"moving":[9],"objects,":[10],"such":[11],"as":[12],"humans":[13],"and":[14],"vehicles":[15],"is":[16,65],"available.":[17],"In":[18],"order":[19],"to":[20,43],"discover":[21],"groups":[22],"mobile":[24,40,60],"objects":[25,41],"that":[26,38],"usually":[27],"move":[28],"in":[29],"similar":[30],"ways":[31],"we":[32],"propose":[33],"an":[34],"incremental":[35],"clustering":[36,51,63,72],"algorithm":[37,52,64],"clusters":[39],"according":[42],"similarity":[44,57],"their":[46],"movement":[47],"patterns.":[48],"The":[49,62],"proposed":[50],"uses":[53],"a":[54],"new,":[55],"\"data-amount-based\"":[56],"measure":[58],"between":[59],"trajectories.":[61],"evaluated":[66],"two":[68],"spatio-temporal":[69],"datasets":[70],"using":[71],"validity":[73],"measures.":[74]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}