{"id":"https://openalex.org/W2408887245","doi":"https://doi.org/10.1109/icit.2016.7474815","title":"Accuracy of class prediction using similarity functions in PAM","display_name":"Accuracy of class prediction using similarity functions in PAM","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2408887245","doi":"https://doi.org/10.1109/icit.2016.7474815","mag":"2408887245"},"language":"en","primary_location":{"id":"doi:10.1109/icit.2016.7474815","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icit.2016.7474815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Industrial Technology (ICIT)","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/A5091769467","display_name":"Umashanger Thayasivam","orcid":"https://orcid.org/0000-0002-2093-8093"},"institutions":[{"id":"https://openalex.org/I44265643","display_name":"Rowan University","ror":"https://ror.org/049v69k10","country_code":"US","type":"education","lineage":["https://openalex.org/I44265643"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Umashanger Thayasivam","raw_affiliation_strings":["Department of Mathematics, Rowan University, Glassboro, NJ"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Rowan University, Glassboro, NJ","institution_ids":["https://openalex.org/I44265643"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075285743","display_name":"Vasil Hnatyshin","orcid":"https://orcid.org/0000-0001-9475-0467"},"institutions":[{"id":"https://openalex.org/I44265643","display_name":"Rowan University","ror":"https://ror.org/049v69k10","country_code":"US","type":"education","lineage":["https://openalex.org/I44265643"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vasil Hnatyshin","raw_affiliation_strings":["Department of Computer Science, Rowan University, Glassboro, NJ"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Rowan University, Glassboro, NJ","institution_ids":["https://openalex.org/I44265643"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080800506","display_name":"Isaac B. Muck","orcid":null},"institutions":[{"id":"https://openalex.org/I44265643","display_name":"Rowan University","ror":"https://ror.org/049v69k10","country_code":"US","type":"education","lineage":["https://openalex.org/I44265643"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Isaac B. Muck","raw_affiliation_strings":["Department of Mathematics, Rowan University, Glassboro, NJ"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Rowan University, Glassboro, NJ","institution_ids":["https://openalex.org/I44265643"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5091769467"],"corresponding_institution_ids":["https://openalex.org/I44265643"],"apc_list":null,"apc_paid":null,"fwci":0.8569,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.8328631,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"586","last_page":"591"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9991999864578247,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9990000128746033,"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"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7615067958831787},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.758785605430603},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.7577208280563354},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.7305381298065186},{"id":"https://openalex.org/keywords/medoid","display_name":"Medoid","score":0.6518197059631348},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5945277810096741},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5746903419494629},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5159950256347656},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4759276211261749},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4743460714817047},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4295518398284912},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.353303998708725},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.19848760962486267}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7615067958831787},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.758785605430603},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.7577208280563354},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.7305381298065186},{"id":"https://openalex.org/C63085389","wikidata":"https://www.wikidata.org/wiki/Q4287912","display_name":"Medoid","level":3,"score":0.6518197059631348},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5945277810096741},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5746903419494629},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5159950256347656},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4759276211261749},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4743460714817047},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4295518398284912},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.353303998708725},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19848760962486267},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icit.2016.7474815","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icit.2016.7474815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Industrial Technology (ICIT)","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":12,"referenced_works":["https://openalex.org/W87092222","https://openalex.org/W182451476","https://openalex.org/W1530215515","https://openalex.org/W1545302662","https://openalex.org/W1562135275","https://openalex.org/W1647729745","https://openalex.org/W1967987265","https://openalex.org/W2012351374","https://openalex.org/W2135368688","https://openalex.org/W6603586546","https://openalex.org/W6636975626","https://openalex.org/W6680180009"],"related_works":["https://openalex.org/W3133849001","https://openalex.org/W2019538911","https://openalex.org/W2282714694","https://openalex.org/W3095561022","https://openalex.org/W2467200550","https://openalex.org/W1996805379","https://openalex.org/W4234584818","https://openalex.org/W4366597899","https://openalex.org/W2792963552","https://openalex.org/W4281630436"],"abstract_inverted_index":{"Clustering":[0],"have":[1,124,159,165],"been":[2,125],"proven":[3],"to":[4,41,65,105,127,143,154,196,200,215],"be":[5,149],"an":[6],"effective":[7],"technique":[8],"for":[9],"finding":[10],"data":[11,26,43,53,107,194,219],"instances":[12],"with":[13],"similar":[14,157],"characteristics.":[15],"Such":[16],"algorithms":[17,37],"are":[18,38,59,142],"based":[19],"on":[20,192],"the":[21,42,50,113,129,140,181,203,209],"notion":[22],"of":[23,46,56,151,176,211,218],"distance":[24,114,155],"between":[25,115,131],"points,":[27],"often":[28,54],"computed":[29],"using":[30,180],"Euclidean":[31,100],"metric.":[32],"That":[33],"is":[34,102],"why,":[35],"clustering":[36,186],"mostly":[39],"applicable":[40,104],"sets":[44,108,195],"comprising":[45],"numerical":[47],"values.":[48,134],"However,":[49],"real":[51],"life":[52],"consist":[55],"features":[57],"which":[58,80],"categorical":[60,82,116,133],"in":[61,72],"nature.":[62],"For":[63],"example,":[64],"identify":[66],"abnormal":[67],"behavior":[68],"or":[69,167],"a":[70,73],"cyberattack":[71],"network,":[74],"we":[75,173],"usually":[76],"examine":[77],"packet":[78],"headers":[79],"contain":[81],"values":[83],"such":[84,106],"as":[85,152],"source":[86,91],"and":[87,92],"destination":[88,93],"IP":[89],"addresses,":[90],"port":[94],"numbers,":[95],"upper":[96],"layer":[97],"protocols,":[98],"etc.":[99],"metric":[101],"not":[103],"because":[109],"it":[110],"cannot":[111],"compute":[112],"variables.":[117],"To":[118],"address":[119],"this":[120,171],"problem,":[121],"similarity":[122,147,178,190,213],"functions":[123,179,191,214],"designed":[126],"determine":[128,197],"relationship":[130],"given":[132],"Similarity":[135],"defines":[136],"how":[137],"closely":[138],"related":[139],"objects":[141,158,164],"one":[144],"another.":[145],"Often":[146],"could":[148],"thought":[150],"opposite":[153],"where":[156],"high":[160],"value,":[161],"while":[162],"dissimilar":[163],"low":[166],"zero":[168],"value.":[169],"In":[170],"paper":[172],"explored":[174],"accuracy":[175],"various":[177,212],"Partitioning":[182],"Around":[183],"Medoids":[184],"(PAM)":[185],"algorithm.":[187],"We":[188,206],"tested":[189],"several":[193],"their":[198],"ability":[199],"correctly":[201],"predict":[202],"class":[204],"labels.":[205],"also":[207],"examined":[208],"applicability":[210],"different":[216],"types":[217],"sets.":[220]},"counts_by_year":[{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}