DBSCAN (Korean Wikipedia)

Analysis of information sources in references of the Wikipedia article "DBSCAN" in Korean language version.

refsWebsite

Global rank Korean rank

2^nd place

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11^th place

2semanticscholar.org

11^th place

310^th place

9,352^nd place

low place

207^th place

220^th place

1web.archive.org

1^st place

1^st place

153^rd place

82^nd place

low place

low place

low place

low place

1,185^th place

449^th place

274^th place

294^th place

aaai.org

cdn.aaai.org

Ester, Martin; Kriegel, Hans-Peter; Sander, Jörg; Xu, Xiaowei (1996). Simoudis, Evangelos; Han, Jiawei; Fayyad, Usama M., 편집. 《A density-based algorithm for discovering clusters in large spatial databases with noise》 (PDF). Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96). AAAI Press. 226–231쪽. CiteSeerX 10.1.1.121.9220. ISBN 1-57735-004-9.

acm.org

dl.acm.org

“TODS Home”. 《tods.acm.org》 (영어). Association for Computing Machinery. 2020년 7월 16일에 확인함.

doi.org

dx.doi.org

Schubert, Erich; Sander, Jörg; Ester, Martin; Kriegel, Hans Peter; Xu, Xiaowei (July 2017). “DBSCAN Revisited, Revisited: Why and How You Should (Still) Use DBSCAN”. 《ACM Trans. Database Syst.》 42 (3): 19:1–19:21. doi:10.1145/3068335. ISSN 0362-5915. S2CID 5156876.
Campello, Ricardo J. G. B.; Moulavi, Davoud; Sander, Joerg (2013). Pei, Jian; Tseng, Vincent S.; Cao, Longbing; Motoda, Hiroshi, 편집. 《Density-Based Clustering Based on Hierarchical Density Estimates》. Advances in Knowledge Discovery and Data Mining. Berlin, Heidelberg: Springer Berlin Heidelberg. 160–172쪽. doi:10.1007/978-3-642-37456-2_14. ISBN 978-3-642-37455-5. 2023년 8월 18일에 확인함.
Campello, Ricardo J. G. B.; Moulavi, Davoud; Zimek, Arthur; Sander, Jörg (2015). “Hierarchical Density Estimates for Data Clustering, Visualization, and Outlier Detection”. 《ACM Transactions on Knowledge Discovery from Data》 10 (1): 1–51. doi:10.1145/2733381. ISSN 1556-4681. S2CID 2887636.

kdd.org

“2014 SIGKDD Test of Time Award”. ACM SIGKDD. 2014년 8월 18일. 2016년 7월 27일에 확인함.

microsoft.com

academic.research.microsoft.com

“Microsoft Academic Search: Papers”. 2010년 4월 21일에 원본 문서에서 보존된 문서. 2010년 4월 18일에 확인함. Most cited data mining articles according to Microsoft academic search; DBSCAN is on rank 24.

psu.edu

citeseerx.ist.psu.edu

Ester, Martin; Kriegel, Hans-Peter; Sander, Jörg; Xu, Xiaowei (1996). Simoudis, Evangelos; Han, Jiawei; Fayyad, Usama M., 편집. 《A density-based algorithm for discovering clusters in large spatial databases with noise》 (PDF). Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96). AAAI Press. 226–231쪽. CiteSeerX 10.1.1.121.9220. ISBN 1-57735-004-9.

semanticscholar.org

api.semanticscholar.org

Schubert, Erich; Sander, Jörg; Ester, Martin; Kriegel, Hans Peter; Xu, Xiaowei (July 2017). “DBSCAN Revisited, Revisited: Why and How You Should (Still) Use DBSCAN”. 《ACM Trans. Database Syst.》 42 (3): 19:1–19:21. doi:10.1145/3068335. ISSN 0362-5915. S2CID 5156876.
Campello, Ricardo J. G. B.; Moulavi, Davoud; Zimek, Arthur; Sander, Jörg (2015). “Hierarchical Density Estimates for Data Clustering, Visualization, and Outlier Detection”. 《ACM Transactions on Knowledge Discovery from Data》 10 (1): 1–51. doi:10.1145/2733381. ISSN 1556-4681. S2CID 2887636.

springer.com

link.springer.com

Campello, Ricardo J. G. B.; Moulavi, Davoud; Sander, Joerg (2013). Pei, Jian; Tseng, Vincent S.; Cao, Longbing; Motoda, Hiroshi, 편집. 《Density-Based Clustering Based on Hierarchical Density Estimates》. Advances in Knowledge Discovery and Data Mining. Berlin, Heidelberg: Springer Berlin Heidelberg. 160–172쪽. doi:10.1007/978-3-642-37456-2_14. ISBN 978-3-642-37455-5. 2023년 8월 18일에 확인함.

vitavonni.de

Schubert, Erich; Sander, Jörg; Ester, Martin; Kriegel, Hans Peter; Xu, Xiaowei (July 2017). “DBSCAN Revisited, Revisited: Why and How You Should (Still) Use DBSCAN”. 《ACM Trans. Database Syst.》 42 (3): 19:1–19:21. doi:10.1145/3068335. ISSN 0362-5915. S2CID 5156876.

web.archive.org

“Microsoft Academic Search: Papers”. 2010년 4월 21일에 원본 문서에서 보존된 문서. 2010년 4월 18일에 확인함. Most cited data mining articles according to Microsoft academic search; DBSCAN is on rank 24.

worldcat.org

Schubert, Erich; Sander, Jörg; Ester, Martin; Kriegel, Hans Peter; Xu, Xiaowei (July 2017). “DBSCAN Revisited, Revisited: Why and How You Should (Still) Use DBSCAN”. 《ACM Trans. Database Syst.》 42 (3): 19:1–19:21. doi:10.1145/3068335. ISSN 0362-5915. S2CID 5156876.
Campello, Ricardo J. G. B.; Moulavi, Davoud; Zimek, Arthur; Sander, Jörg (2015). “Hierarchical Density Estimates for Data Clustering, Visualization, and Outlier Detection”. 《ACM Transactions on Knowledge Discovery from Data》 10 (1): 1–51. doi:10.1145/2733381. ISSN 1556-4681. S2CID 2887636.