File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: SCHAIN-IRAM: An Efficient and Effective Semi-Supervised Clustering Algorithm for Attributed Heterogeneous Information Networks

TitleSCHAIN-IRAM: An Efficient and Effective Semi-Supervised Clustering Algorithm for Attributed Heterogeneous Information Networks
Authors
Issue Date2022
Citation
IEEE Transactions on Knowledge and Data Engineering, 2022, v. 34, p. 1980-1992 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/319792
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLi, X-
dc.contributor.authorWu, Y-
dc.contributor.authorEster, M-
dc.contributor.authorKao, CM-
dc.contributor.authorWang, X-
dc.contributor.authorZheng, Y-
dc.date.accessioned2022-10-14T05:19:50Z-
dc.date.available2022-10-14T05:19:50Z-
dc.date.issued2022-
dc.identifier.citationIEEE Transactions on Knowledge and Data Engineering, 2022, v. 34, p. 1980-1992-
dc.identifier.urihttp://hdl.handle.net/10722/319792-
dc.languageeng-
dc.relation.ispartofIEEE Transactions on Knowledge and Data Engineering-
dc.titleSCHAIN-IRAM: An Efficient and Effective Semi-Supervised Clustering Algorithm for Attributed Heterogeneous Information Networks-
dc.typeArticle-
dc.identifier.emailKao, CM: kao@cs.hku.hk-
dc.identifier.authorityKao, CM=rp00123-
dc.identifier.doi10.1109/TKDE.2020.2997938-
dc.identifier.hkuros339430-
dc.identifier.volume34-
dc.identifier.spage1980-
dc.identifier.epage1992-
dc.identifier.isiWOS:000766623600035-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats