{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,12]],"date-time":"2025-07-12T22:57:35Z","timestamp":1752361055570,"version":"3.40.3"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030109240"},{"type":"electronic","value":"9783030109257"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-10925-7_9","type":"book-chapter","created":{"date-parts":[[2019,1,17]],"date-time":"2019-01-17T15:47:28Z","timestamp":1547740048000},"page":"139-156","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["ConOut: Contextual Outlier Detection with Multiple Contexts: Application to Ad Fraud"],"prefix":"10.1007","author":[{"given":"M. Y.","family":"Meghanath","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Deepak","family":"Pai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Leman","family":"Akoglu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,1,18]]},"reference":[{"key":"9_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-6396-2","volume-title":"Outlier Analysis","author":"CC Aggarwal","year":"2013","unstructured":"Aggarwal, C.C.: Outlier Analysis. Springer, New York (2013). https:\/\/doi.org\/10.1007\/978-1-4614-6396-2"},{"issue":"6","key":"9_CR2","first-page":"1280","volume":"25","author":"F Angiulli","year":"2013","unstructured":"Angiulli, F., Fassetti, F., Palopoli, L.: Discovering characterizations of the behavior of anomalous subpopulations. IEEE TKDE 25(6), 1280\u20131292 (2013)","journal-title":"IEEE TKDE"},{"key":"9_CR3","doi-asserted-by":"crossref","unstructured":"Breunig, M.M., Kriegel, H.-P., Ng, R.T., Sander, J.: LOF: identifying density-based local outliers. In: SIGMOD, vol. 29, pp. 93\u2013104. ACM (2000)","DOI":"10.1145\/335191.335388"},{"key":"9_CR4","doi-asserted-by":"crossref","unstructured":"Dave, V., Guha, S., Zhang, Y.: ViceROI: catching click-spam in search ad networks. In: SIGSAC, pp. 765\u2013776. ACM (2013)","DOI":"10.1145\/2508859.2516688"},{"key":"9_CR5","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1111\/j.2517-6161.1977.tb01600.x","volume":"39","author":"A Dempster","year":"1977","unstructured":"Dempster, A., Laird, N., Rubin, D.: Maximum likelihood from incomplete data via the EM algorithm. J. Royal Stat. Soc. 39, 1\u201338 (1977)","journal-title":"J. Royal Stat. Soc."},{"key":"9_CR6","doi-asserted-by":"crossref","unstructured":"Gao, J., Tan, P.-N.: Converting output scores from outlier detection algorithms into probability estimates. In: ICDM, pp. 212\u2013221. IEEE (2006)","DOI":"10.1109\/ICDM.2006.43"},{"key":"9_CR7","doi-asserted-by":"publisher","first-page":"411","DOI":"10.1111\/1467-9868.00293","volume":"63","author":"T Hastie","year":"2001","unstructured":"Hastie, T., Tibshirani, R., Walther, G.: Estimating the number of data clusters via the gap statistic. J. Royal Stat. Soc. B 63, 411\u2013423 (2001)","journal-title":"J. Royal Stat. Soc. B"},{"key":"9_CR8","doi-asserted-by":"publisher","DOI":"10.1007\/0-387-27605-X","volume-title":"Testing Statistical Hypotheses","author":"EL Lehmann","year":"2006","unstructured":"Lehmann, E.L., Romano, J.P.: Testing Statistical Hypotheses. Springer, New York (2006). https:\/\/doi.org\/10.1007\/0-387-27605-X"},{"key":"9_CR9","doi-asserted-by":"crossref","unstructured":"Liang, J., Parthasarathy, S.: Robust contextual outlier detection: where context meets sparsity. In: CIKM, pp. 2167\u20132172. ACM (2016)","DOI":"10.1145\/2983323.2983660"},{"key":"9_CR10","doi-asserted-by":"crossref","unstructured":"Liu, F.T., Ting, K.M., Zhou, Z.-H.: Isolation forest. In: ICDM. IEEE (2008)","DOI":"10.1109\/ICDM.2008.17"},{"key":"9_CR11","unstructured":"Pelleg, D., Moore, A.W., et al.: X-means: extending k-means with efficient estimation of the number of clusters. In: ICML, pp. 727\u2013734 (2000)"},{"key":"9_CR12","unstructured":"Sch\u00f6lkopf, B., Williamson, R.C., Smola, A.J., Shawe-Taylor, J., Platt, J.C.: Support vector method for novelty detection. In: NIPS, pp. 582\u2013588 (2000)"},{"issue":"5","key":"9_CR13","first-page":"631","volume":"19","author":"X Song","year":"2007","unstructured":"Song, X., Wu, M., Jermaine, C., Ranka, S.: Conditional anomaly detection. IEEE TKDE 19(5), 631\u2013645 (2007)","journal-title":"IEEE TKDE"},{"issue":"2","key":"9_CR14","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1145\/2207243.2207252","volume":"13","author":"N Spirin","year":"2012","unstructured":"Spirin, N., Han, J.: Survey on web spam detection: principles and algorithms. ACM SIGKDD Explor. Newslett. 13(2), 50\u201364 (2012)","journal-title":"ACM SIGKDD Explor. Newslett."},{"key":"9_CR15","unstructured":"Tan, S.C., Ting, K.M., Liu, T.F.: Fast anomaly detection for streaming data. In: IJCAI, vol. 22, p. 1511 (2011)"},{"key":"9_CR16","doi-asserted-by":"crossref","unstructured":"Wang, X., Davidson, I.: Discovering contexts and contextual outliers using random walks in graphs. In: ICDM, pp. 1034\u20131039. IEEE (2009)","DOI":"10.1109\/ICDM.2009.95"},{"key":"9_CR17","doi-asserted-by":"crossref","unstructured":"Zheng, G., Brantley, S.L., Lauvaux, T., Li, Z.: Contextual spatial outlier detection with metric learning. In: KDD, pp. 2161\u20132170. ACM (2017)","DOI":"10.1145\/3097983.3098143"}],"container-title":["Lecture Notes in Computer Science","Machine Learning and Knowledge Discovery in Databases"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-10925-7_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,14]],"date-time":"2024-07-14T05:16:20Z","timestamp":1720934180000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-10925-7_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030109240","9783030109257"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-10925-7_9","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"18 January 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECML PKDD","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Joint European Conference on Machine Learning and Knowledge Discovery in Databases","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Dublin","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ireland","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 September 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 September 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ecml2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ecmlpkdd2018.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"535","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"131","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"17","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"24% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}