Local outlier factor (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Local outlier factor" in English language version.

refsWebsite
Global rank English rank
2nd place
2nd place
11th place
8th place
low place
low place
5th place
5th place
207th place
136th place
1st place
1st place
low place
6,473rd place

doi.org

  • Breunig, M. M.; Kriegel, H.-P.; Ng, R. T.; Sander, J. (2000). LOF: Identifying Density-based Local Outliers (PDF). Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data. SIGMOD. pp. 93–104. doi:10.1145/335191.335388. ISBN 1-58113-217-4.
  • Breunig, M. M.; Kriegel, H.-P.; Ng, R. T.; Sander, J. R. (1999). "OPTICS-OF: Identifying Local Outliers" (PDF). Principles of Data Mining and Knowledge Discovery. Lecture Notes in Computer Science. Vol. 1704. pp. 262–270. doi:10.1007/978-3-540-48247-5_28. ISBN 978-3-540-66490-1.
  • Schubert, E.; Zimek, A.; Kriegel, H. -P. (2012). "Local outlier detection reconsidered: A generalized view on locality with applications to spatial, video, and network outlier detection". Data Mining and Knowledge Discovery. 28: 190–237. doi:10.1007/s10618-012-0300-z. S2CID 19036098.
  • Lazarevic, A.; Ozgur, A.; Ertoz, L.; Srivastava, J.; Kumar, V. (2003). "A Comparative Study of Anomaly Detection Schemes in Network Intrusion Detection" (PDF). Proceedings of the 2003 SIAM International Conference on Data Mining. pp. 25–36. doi:10.1137/1.9781611972733.3. ISBN 978-0-89871-545-3. Archived from the original (PDF) on 2013-07-17. Retrieved 2010-05-14.
  • Campos, Guilherme O.; Zimek, Arthur; Sander, Jörg; Campello, Ricardo J. G. B.; Micenková, Barbora; Schubert, Erich; Assent, Ira; Houle, Michael E. (2016). "On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study". Data Mining and Knowledge Discovery. 30 (4): 891–927. doi:10.1007/s10618-015-0444-8. ISSN 1384-5810. S2CID 1952214.
  • Lazarevic, A.; Kumar, V. (2005). "Feature bagging for outlier detection". Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining. pp. 157–166. doi:10.1145/1081870.1081891. ISBN 159593135X. S2CID 2054204.
  • Zimek, A.; Campello, R. J. G. B.; Sander, J. R. (2014). "Ensembles for unsupervised outlier detection". ACM SIGKDD Explorations Newsletter. 15: 11–22. doi:10.1145/2594473.2594476. S2CID 8065347.
  • Kriegel, H.-P.; Kröger, P.; Schubert, E.; Zimek, A. (2009). LoOP: Local Outlier Probabilities (PDF). Proceedings of the 18th ACM Conference on Information and Knowledge Management. CIKM '09. pp. 1649–1652. doi:10.1145/1645953.1646195. ISBN 978-1-60558-512-3.
  • Kriegel, H. P.; Kröger, P.; Schubert, E.; Zimek, A. (2011). Interpreting and Unifying Outlier Scores. Proceedings of the 2011 SIAM International Conference on Data Mining. pp. 13–24. CiteSeerX 10.1.1.232.2719. doi:10.1137/1.9781611972818.2. ISBN 978-0-89871-992-5.
  • Schubert, E.; Wojdanowski, R.; Zimek, A.; Kriegel, H. P. (2012). On Evaluation of Outlier Rankings and Outlier Scores. Proceedings of the 2012 SIAM International Conference on Data Mining. pp. 1047–1058. CiteSeerX 10.1.1.300.7205. doi:10.1137/1.9781611972825.90. ISBN 978-1-61197-232-0.

lmu.de

dbs.ifi.lmu.de

  • Breunig, M. M.; Kriegel, H.-P.; Ng, R. T.; Sander, J. (2000). LOF: Identifying Density-based Local Outliers (PDF). Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data. SIGMOD. pp. 93–104. doi:10.1145/335191.335388. ISBN 1-58113-217-4.
  • Breunig, M. M.; Kriegel, H.-P.; Ng, R. T.; Sander, J. R. (1999). "OPTICS-OF: Identifying Local Outliers" (PDF). Principles of Data Mining and Knowledge Discovery. Lecture Notes in Computer Science. Vol. 1704. pp. 262–270. doi:10.1007/978-3-540-48247-5_28. ISBN 978-3-540-66490-1.
  • Kriegel, H.-P.; Kröger, P.; Schubert, E.; Zimek, A. (2009). LoOP: Local Outlier Probabilities (PDF). Proceedings of the 18th ACM Conference on Information and Knowledge Management. CIKM '09. pp. 1649–1652. doi:10.1145/1645953.1646195. ISBN 978-1-60558-512-3.

psu.edu

citeseerx.ist.psu.edu

semanticscholar.org

api.semanticscholar.org

  • Schubert, E.; Zimek, A.; Kriegel, H. -P. (2012). "Local outlier detection reconsidered: A generalized view on locality with applications to spatial, video, and network outlier detection". Data Mining and Knowledge Discovery. 28: 190–237. doi:10.1007/s10618-012-0300-z. S2CID 19036098.
  • Campos, Guilherme O.; Zimek, Arthur; Sander, Jörg; Campello, Ricardo J. G. B.; Micenková, Barbora; Schubert, Erich; Assent, Ira; Houle, Michael E. (2016). "On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study". Data Mining and Knowledge Discovery. 30 (4): 891–927. doi:10.1007/s10618-015-0444-8. ISSN 1384-5810. S2CID 1952214.
  • Lazarevic, A.; Kumar, V. (2005). "Feature bagging for outlier detection". Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining. pp. 157–166. doi:10.1145/1081870.1081891. ISBN 159593135X. S2CID 2054204.
  • Zimek, A.; Campello, R. J. G. B.; Sander, J. R. (2014). "Ensembles for unsupervised outlier detection". ACM SIGKDD Explorations Newsletter. 15: 11–22. doi:10.1145/2594473.2594476. S2CID 8065347.

siam.org

web.archive.org

worldcat.org

search.worldcat.org

  • Alpaydin, Ethem (2020). Introduction to machine learning (Fourth ed.). Cambridge, Massachusetts. ISBN 978-0-262-04379-3. OCLC 1108782604.{{cite book}}: CS1 maint: location missing publisher (link)
  • Campos, Guilherme O.; Zimek, Arthur; Sander, Jörg; Campello, Ricardo J. G. B.; Micenková, Barbora; Schubert, Erich; Assent, Ira; Houle, Michael E. (2016). "On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study". Data Mining and Knowledge Discovery. 30 (4): 891–927. doi:10.1007/s10618-015-0444-8. ISSN 1384-5810. S2CID 1952214.