{"id":"https://openalex.org/W2099619322","doi":"https://doi.org/10.1109/wkdd.2009.27","title":"SDM Techniques Based on TGSOM and its Application in R&D Performance Evaluation","display_name":"SDM Techniques Based on TGSOM and its Application in R&D Performance Evaluation","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W2099619322","doi":"https://doi.org/10.1109/wkdd.2009.27","mag":"2099619322"},"language":"en","primary_location":{"id":"doi:10.1109/wkdd.2009.27","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wkdd.2009.27","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 Second International Workshop on Knowledge Discovery and Data Mining","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/A5100692735","display_name":"Zhibin Liu","orcid":"https://orcid.org/0000-0003-2053-5136"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhibin Liu","raw_affiliation_strings":["Economics and Management Department, North China Electric Power University, Baoding, China","Econ. & Manage. Dept., North China Electr. Power Univ., Baoding"],"affiliations":[{"raw_affiliation_string":"Economics and Management Department, North China Electric Power University, Baoding, China","institution_ids":["https://openalex.org/I153473198"]},{"raw_affiliation_string":"Econ. & Manage. Dept., North China Electr. Power Univ., Baoding","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050209714","display_name":"Hanxiang Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I97750245","display_name":"Software (Spain)","ror":"https://ror.org/02ethns06","country_code":"ES","type":"company","lineage":["https://openalex.org/I4210087817","https://openalex.org/I97750245"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Hanxiang Hu","raw_affiliation_strings":["Finance Department, Hebei Software Institute, Baoding, China","Finance Dept., Hebei Software Inst., Baoding"],"affiliations":[{"raw_affiliation_string":"Finance Department, Hebei Software Institute, Baoding, China","institution_ids":[]},{"raw_affiliation_string":"Finance Dept., Hebei Software Inst., Baoding","institution_ids":["https://openalex.org/I97750245"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100692735"],"corresponding_institution_ids":["https://openalex.org/I153473198"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.14711382,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"22","issue":null,"first_page":"372","last_page":"375"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13832","display_name":"Advanced Decision-Making Techniques","score":0.9523000121116638,"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/T13832","display_name":"Advanced Decision-Making Techniques","score":0.9523000121116638,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9340999722480774,"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/T13955","display_name":"Evaluation Methods in Various Fields","score":0.910099983215332,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7406095266342163},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.726269006729126},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6386620998382568},{"id":"https://openalex.org/keywords/limit","display_name":"Limit (mathematics)","score":0.5180020928382874},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5138864517211914},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.46850186586380005},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4604651629924774},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.46017661690711975},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.45906808972358704},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.4568309783935547},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.44233137369155884},{"id":"https://openalex.org/keywords/high-tech","display_name":"High tech","score":0.4118945002555847},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3454732894897461},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12599927186965942},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12056627869606018},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10705354809761047},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.08976829051971436},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07850047945976257}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7406095266342163},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.726269006729126},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6386620998382568},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.5180020928382874},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5138864517211914},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.46850186586380005},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4604651629924774},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.46017661690711975},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.45906808972358704},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.4568309783935547},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.44233137369155884},{"id":"https://openalex.org/C191920346","wikidata":"https://www.wikidata.org/wiki/Q466410","display_name":"High tech","level":2,"score":0.4118945002555847},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3454732894897461},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12599927186965942},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12056627869606018},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10705354809761047},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.08976829051971436},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07850047945976257},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wkdd.2009.27","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wkdd.2009.27","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 Second International Workshop on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.6200000047683716,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2097243975","https://openalex.org/W2152511329","https://openalex.org/W2168701898","https://openalex.org/W2381262103","https://openalex.org/W2394315394","https://openalex.org/W2583388674","https://openalex.org/W3134413896","https://openalex.org/W6996701893"],"related_works":["https://openalex.org/W4247566972","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W3116257295","https://openalex.org/W2910064364","https://openalex.org/W4255224757","https://openalex.org/W2499527417","https://openalex.org/W2218513093"],"abstract_inverted_index":{"Research":[0],"and":[1,18,33,71],"development":[2],"activities":[3],"(R&D)":[4],"as":[5],"the":[6,10,25,29,38,46,64,67,75,83,106],"core":[7],"competitiveness":[8],"in":[9,54,74,92,101],"high-tech":[11,30,99],"enterprises":[12,31,100],"play":[13],"an":[14],"extremely":[15],"important":[16],"role":[17],"far-reaching":[19],"significance.":[20],"In":[21],"order":[22],"to":[23,51],"measure":[24],"R&D":[26],"performance":[27,95],"of":[28,66,85,97],"scientifically":[32],"accurately,":[34],"this":[35,110],"paper":[36],"introduces":[37],"tree-structured":[39],"growing":[40],"self-organizing":[41],"maps":[42,87],"(TGSOM)":[43],"network":[44],"into":[45],"spatial":[47,55,77],"data":[48,69,78],"mining":[49],"(SDM)":[50],"be":[52],"used":[53],"clustering.":[56],"This":[57],"method":[58,111],"not":[59],"only":[60],"can":[61],"make":[62],"up":[63],"limitation":[65],"more":[68],"limit":[70],"biggish":[72],"computation":[73],"common":[76],"mining,":[79],"but":[80],"also":[81],"overcome":[82],"restriction":[84],"traditional":[86],"(SOFM)":[88],"that":[89,105],"must":[90],"appoint":[91],"advance.":[93],"The":[94],"measurement":[96],"110":[98],"Hebei":[102],"Province":[103],"shows":[104],"results":[107],"given":[108],"by":[109],"are":[112],"reliable.":[113]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}