Heterogeneous Data Clustering Considering Multiple User-provided Constraints
Clustering on heterogeneous networks which consist of multi-typed objects and links has proved to be a useful technique in many scenarios. Although numerous clustering methods have achieved remarkable success, current clustering methods for heterogeneous networks tend to consider only internal infor...
Uložené v:
| Vydané v: | International journal of computers, communications & control Ročník 14; číslo 2; s. 170 - 182 |
|---|---|
| Hlavný autor: | |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
Oradea
Agora University of Oradea
01.04.2019
|
| Predmet: | |
| ISSN: | 1841-9836, 1841-9844 |
| On-line prístup: | Získať plný text |
| Tagy: |
Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
|
| Abstract | Clustering on heterogeneous networks which consist of multi-typed objects and links has proved to be a useful technique in many scenarios. Although numerous clustering methods have achieved remarkable success, current clustering methods for heterogeneous networks tend to consider only internal information of the dataset. In order to utilize background domain knowledge, we propose a general framework for clustering heterogeneous data considering multiple user-provided constrains. Specifically, we summarize that three types of manual constraints on the object can be used to guide the clustering process. Then we propose the User- HeteClus algorithm to solve the key issues in the case of star-structure heterogeneous data, which incorporating the user constraint into similarity measurement between central objects. Experiments on a real-world dataset show the effectiveness of the proposed algorithm. |
|---|---|
| AbstractList | Clustering on heterogeneous networks which consist of multi-typed objects and links has proved to be a useful technique in many scenarios. Although numerous clustering methods have achieved remarkable success, current clustering methods for heterogeneous networks tend to consider only internal information of the dataset. In order to utilize background domain knowledge, we propose a general framework for clustering heterogeneous data considering multiple user-provided constrains. Specifically, we summarize that three types of manual constraints on the object can be used to guide the clustering process. Then we propose the User- HeteClus algorithm to solve the key issues in the case of star-structure heterogeneous data, which incorporating the user constraint into similarity measurement between central objects. Experiments on a real-world dataset show the effectiveness of the proposed algorithm. |
| Author | Huang, Yue |
| Author_xml | – sequence: 1 givenname: Yue orcidid: 0000-0003-1938-1440 surname: Huang fullname: Huang, Yue |
| BookMark | eNo9kElLA0EQhRuJYIz5A54GPM_Y-3KUcYkQ8WLOTaeXMGGcjt09gv_eSSLWpR5Vj3rFdw1mQxw8ALcINohJIu67vbW2wRCpBjeEInUB5khSVCtJ6exfE34Fljnv4VQESyjYHKxXvvgUd37wcczVoymmavsxT8Nu2FVtHHLnzvpt7Et36H21yT7VhxS_p407WUoy3VDyDbgMps9--dcXYPP89NGu6vX7y2v7sK4tFrDUBvMgsZDBEueQFwpDpTxGFjooFKFBQs7glga_Dc5RwTnjhjLHJHRiqxRZgLvz3emJr9HnovdxTMMUqTFDklABOZ9c-OyyKeacfNCH1H2a9KMR1Cdw-gROH8FprI_gyC_JyWP7 |
| ContentType | Journal Article |
| Copyright | 2019. This work is published under https://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| Copyright_xml | – notice: 2019. This work is published under https://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| DBID | AAYXX CITATION 8FE 8FG ABUWG AFKRA ARAPS AZQEC BENPR BGLVJ CCPQU DWQXO GNUQQ HCIFZ JQ2 K7- P5Z P62 PHGZM PHGZT PIMPY PKEHL PQEST PQGLB PQQKQ PQUKI PRINS |
| DOI | 10.15837/ijccc.2019.2.3419 |
| DatabaseName | CrossRef ProQuest SciTech Collection ProQuest Technology Collection ProQuest Central (Alumni) ProQuest Central UK/Ireland Advanced Technologies & Computer Science Collection ProQuest Central Essentials ProQuest Central ProQuest Technology Collection ProQuest One ProQuest Central Korea ProQuest Central Student SciTech Collection (ProQuest) ProQuest Computer Science Collection Computer Science Database (ProQuest) Advanced Technologies & Aerospace Database ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Premium ProQuest One Academic (New) Publicly Available Content Database ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic (retired) ProQuest One Academic UKI Edition ProQuest Central China |
| DatabaseTitle | CrossRef Publicly Available Content Database Advanced Technologies & Aerospace Collection Computer Science Database ProQuest Central Student Technology Collection ProQuest One Academic Middle East (New) ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Essentials ProQuest Computer Science Collection ProQuest One Academic Eastern Edition ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College ProQuest Technology Collection ProQuest SciTech Collection ProQuest Central China ProQuest Central Advanced Technologies & Aerospace Database ProQuest One Applied & Life Sciences ProQuest One Academic UKI Edition ProQuest Central Korea ProQuest Central (New) ProQuest One Academic ProQuest One Academic (New) |
| DatabaseTitleList | Publicly Available Content Database CrossRef |
| Database_xml | – sequence: 1 dbid: PIMPY name: Publicly Available Content Database url: http://search.proquest.com/publiccontent sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Computer Science |
| EISSN | 1841-9844 |
| EndPage | 182 |
| ExternalDocumentID | 10_15837_ijccc_2019_2_3419 |
| GroupedDBID | .4S .DC 29J 2WC 5GY AAKPC AAYXX ACIPV ADBBV AENEX AFFHD AFKRA ALMA_UNASSIGNED_HOLDINGS ARAPS ARCSS BCNDV BENPR BGLVJ CCPQU CITATION E3Z EDO EOJEC GROUPED_DOAJ HCIFZ ITG ITH K7- MK~ ML~ M~E OBODZ OK1 OVT PHGZM PHGZT PIMPY PQGLB TR2 TUS 8FE 8FG ABUWG AZQEC DWQXO GNUQQ JQ2 P62 PKEHL PQEST PQQKQ PQUKI PRINS |
| ID | FETCH-LOGICAL-c270t-a26f8278fc3dd1e792099e21c0d07934f80650b4febfdd476656a45d580d7b993 |
| IEDL.DBID | BENPR |
| ISICitedReferencesCount | 0 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000464327600003&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1841-9836 |
| IngestDate | Fri Jul 25 20:02:11 EDT 2025 Sat Nov 29 03:05:05 EST 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 2 |
| Language | English |
| License | http://creativecommons.org/licenses/by-nc/4.0 |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c270t-a26f8278fc3dd1e792099e21c0d07934f80650b4febfdd476656a45d580d7b993 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ORCID | 0000-0003-1938-1440 |
| OpenAccessLink | https://www.proquest.com/docview/2518347066?pq-origsite=%requestingapplication% |
| PQID | 2518347066 |
| PQPubID | 5045567 |
| PageCount | 13 |
| ParticipantIDs | proquest_journals_2518347066 crossref_primary_10_15837_ijccc_2019_2_3419 |
| PublicationCentury | 2000 |
| PublicationDate | 2019-04-01 |
| PublicationDateYYYYMMDD | 2019-04-01 |
| PublicationDate_xml | – month: 04 year: 2019 text: 2019-04-01 day: 01 |
| PublicationDecade | 2010 |
| PublicationPlace | Oradea |
| PublicationPlace_xml | – name: Oradea |
| PublicationTitle | International journal of computers, communications & control |
| PublicationYear | 2019 |
| Publisher | Agora University of Oradea |
| Publisher_xml | – name: Agora University of Oradea |
| SSID | ssj0000328075 ssib032305687 |
| Score | 2.1094568 |
| Snippet | Clustering on heterogeneous networks which consist of multi-typed objects and links has proved to be a useful technique in many scenarios. Although numerous... |
| SourceID | proquest crossref |
| SourceType | Aggregation Database Index Database |
| StartPage | 170 |
| SubjectTerms | Algorithms Clustering Datasets |
| Title | Heterogeneous Data Clustering Considering Multiple User-provided Constraints |
| URI | https://www.proquest.com/docview/2518347066 |
| Volume | 14 |
| WOSCitedRecordID | wos000464327600003&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 1841-9844 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000328075 issn: 1841-9836 databaseCode: DOA dateStart: 20060101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources customDbUrl: eissn: 1841-9844 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000328075 issn: 1841-9836 databaseCode: M~E dateStart: 20060101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre – providerCode: PRVPQU databaseName: Advanced Technologies & Aerospace Database customDbUrl: eissn: 1841-9844 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000328075 issn: 1841-9836 databaseCode: P5Z dateStart: 20060301 isFulltext: true titleUrlDefault: https://search.proquest.com/hightechjournals providerName: ProQuest – providerCode: PRVPQU databaseName: Computer Science Database customDbUrl: eissn: 1841-9844 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000328075 issn: 1841-9836 databaseCode: K7- dateStart: 20060301 isFulltext: true titleUrlDefault: http://search.proquest.com/compscijour providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 1841-9844 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000328075 issn: 1841-9836 databaseCode: BENPR dateStart: 20060301 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: Publicly Available Content Database customDbUrl: eissn: 1841-9844 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000328075 issn: 1841-9836 databaseCode: PIMPY dateStart: 20060301 isFulltext: true titleUrlDefault: http://search.proquest.com/publiccontent providerName: ProQuest |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1LS8QwEA6-Dl5cn_hYpQdvEm3TR9KT-FhRdJciCuolpEkDiuyu265Hf7sz2RTx4sVLKKSUkpnMI5n5PkIOU6EEhAmMZolRNAEjSVUaa6rAmWVaIeuRaxS-44OBeHrKC3_gVvuyytYmOkNtRhrPyE_AD4s44eAhT8cfFFmj8HbVU2jMk0VEKgM9XzzvDYr7VqNihhGyD0CcbY6ZR9-FzCaiucC7S9dJk0KmdvL6pjXiGkb5MTtGpLPf3uq3sXYe6Krz339fJSs-9gzOZsqyRuaq4TrptLwOgd_mG-TuGmtkRqBa1WhaB5eqUcHF-xQhFcDRBS3HJz73fT1i8AiqTH1bn3GvOPKJpt4kj1e9h4tr6lkXqGY8bKhimRWMC6tjY6KK59hcW7FIhwbB9BKLV7FhmdiqtMYkPANRqyQ1qQgNLyHc2SILw9Gw2iYBL1lcGqPizOaJ1Xlp08wwq5hWuYoV3yFH7erK8QxcQ2JSgrKQThYSZSGZRFnskG67utJvtFr-LO3u39N7ZBm_NSu66ZKFZjKt9smS_mxe68mB15sDl5LDeMspjP2vHoxF-gLzxU2_eP4GYDXQRA |
| linkProvider | ProQuest |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1NS8NAEB2kCnrxW_w2Bz3JarrZZJODiFSlxbb00EI9rZvdLFSkVZMq_il_ozvpBvHizYO3QEJg82bnzWRn5gEch7GMbZhAScS0JMw6SSLDQBFpySxSElWPykbhNu924-Ew6c3BZ9ULg2WVlU8sHbWeKPxHfm55OA4Ytwx5-fxCUDUKT1crCY2ZWdxlH-82ZcsvWtcW3xNKb2_6jSZxqgJEUe4XRNLIxJTHRgVa1zOeYPNoRuvK1zgsjhk8avRTZrLUaM14ZJciWajD2Nc8TXD4knX588wau1-D-V6r07uvLDigGJG7gKfkgoC6ab82k6qTJMaz0rJzJ7SZ4fnoUSmco1hPzugZTlb7yY4_yaFkvNuV__atVmHZxdbe1WwzrMFcNl6HlUq3wnNubAPaTawBmtitk02muXctC-k1nqY4MsISuVdpmOJ1x9VbegO7VYlrW9TlI6W4RpFvwuBP1rQFtfFknG2Dx1MapFrLIDIJMypJTRhpaiRVMpGB5DtwWqEpnmfDQwQmXYi9KLEXiL2gArHfgf0KTeEcSS6-odz9_fYRLDb7nbZot7p3e7CE750VGO1DrXidZgewoN6KUf566GzWg4e_hv4L0XsmoQ |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Heterogeneous+Data+Clustering+Considering+Multiple+User-provided+Constraints&rft.jtitle=International+journal+of+computers%2C+communications+%26+control&rft.au=Huang%2C+Yue&rft.date=2019-04-01&rft.issn=1841-9836&rft.eissn=1841-9844&rft.volume=14&rft.issue=2&rft.spage=170&rft.epage=182&rft_id=info:doi/10.15837%2Fijccc.2019.2.3419&rft.externalDBID=n%2Fa&rft.externalDocID=10_15837_ijccc_2019_2_3419 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1841-9836&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1841-9836&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1841-9836&client=summon |