{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:35:16Z","timestamp":1750221316476,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":43,"publisher":"ACM","license":[{"start":{"date-parts":[[2017,11,6]],"date-time":"2017-11-06T00:00:00Z","timestamp":1509926400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Special Funds of Beijing Municipal Science & Technology Commission"},{"name":"973 Program","award":["2014CB340300"],"award-info":[{"award-number":["2014CB340300"]}]},{"name":"NSFC","award":["U1636210 & 61421003 & 61322207"],"award-info":[{"award-number":["U1636210 & 61421003 & 61322207"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2017,11,6]]},"DOI":"10.1145\/3132847.3132987","type":"proceedings-article","created":{"date-parts":[[2017,11,6]],"date-time":"2017-11-06T13:30:29Z","timestamp":1509975029000},"page":"817-826","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["Outlier Detection in Sparse Data with Factorization Machines"],"prefix":"10.1145","author":[{"given":"Mengxiao","family":"Zhu","sequence":"first","affiliation":[{"name":"Beihang University &amp; Beijing Advanced Innovation Center for Big Data and Brain Computing, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Charu C.","family":"Aggarwal","sequence":"additional","affiliation":[{"name":"IBM T. J. Watson Research Center, New York, NY, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuai","family":"Ma","sequence":"additional","affiliation":[{"name":"Beihang University &amp; Beijing Advanced Innovation Center for Big Data and Brain Computing, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hui","family":"Zhang","sequence":"additional","affiliation":[{"name":"Beihang University &amp; Beijing Advanced Innovation Center for Big Data and Brain Computing, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinpeng","family":"Huai","sequence":"additional","affiliation":[{"name":"Beihang University &amp; Beijing Advanced Innovation Center for Big Data and Brain Computing, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2017,11,6]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/2481244.2481252"},{"volume-title":"Outlier Analysis","author":"Aggarwal Charu C.","key":"e_1_3_2_1_2_1","unstructured":"Charu C. Aggarwal . 2013. Outlier Analysis . Springer , New York . Charu C. Aggarwal. 2013. Outlier Analysis. Springer, New York."},{"volume-title":"Recommender Systems - The Textbook","author":"Aggarwal Charu C.","key":"e_1_3_2_1_3_1","unstructured":"Charu C. Aggarwal . 2016. Recommender Systems - The Textbook . Springer . Charu C. Aggarwal. 2016. Recommender Systems - The Textbook. Springer."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/375663.375668"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.5555\/3225644.3225842"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/2396761.2396816"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/290941.290954"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"crossref","unstructured":"Fabrizio Angiulli and Clara Pizzuti. 2002. Fast Outlier Detection in High Dimensional Spaces. PKDD.   Fabrizio Angiulli and Clara Pizzuti. 2002. Fast Outlier Detection in High Dimensional Spaces. PKDD.","DOI":"10.1007\/3-540-45681-3_2"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/2020408.2020554"},{"key":"e_1_3_2_1_10_1","first-page":"993","article-title":"Latent Dirichlet Allocation","volume":"3","author":"Blei David M.","year":"2003","unstructured":"David M. Blei , Andrew Y. Ng , and Michael I. Jordan . 2003 . Latent Dirichlet Allocation . ACM JMLR Vol. 3 (2003), 993 -- 1022 . David M. Blei, Andrew Y. Ng, and Michael I. Jordan. 2003. Latent Dirichlet Allocation. ACM JMLR Vol. 3 (2003), 993--1022.","journal-title":"ACM JMLR"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","unstructured":"Mathieu Blondel Akinori Fujino and Naonori Ueda. 2015. Convex Factorization Machines. In ECML PKDD.  Mathieu Blondel Akinori Fujino and Naonori Ueda. 2015. Convex Factorization Machines. In ECML PKDD.","DOI":"10.1007\/978-3-319-23525-7_2"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"crossref","unstructured":"Shyam Boriah Varun Chandola and Vipin Kumar. 2008. Similarity Measures for Categorical Data: A Comparative Evaluation SDM.  Shyam Boriah Varun Chandola and Vipin Kumar. 2008. Similarity Measures for Categorical Data: A Comparative Evaluation SDM.","DOI":"10.1137\/1.9781611972788.22"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/860435.860495"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/335191.335388"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/1541880.1541882"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/1281192.1281219"},{"key":"e_1_3_2_1_17_1","first-page":"2121","article-title":"Adaptive Subgradient Methods for Online Learning and Stochastic Optimization","volume":"12","author":"Duchi John C.","year":"2011","unstructured":"John C. Duchi , Elad Hazan , and Yoram Singer . 2011 . Adaptive Subgradient Methods for Online Learning and Stochastic Optimization . ACM JMLR Vol. 12 (2011), 2121 -- 2159 . John C. Duchi, Elad Hazan, and Yoram Singer. 2011. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization. ACM JMLR Vol. 12 (2011), 2121--2159.","journal-title":"ACM JMLR"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"crossref","unstructured":"Manish Gupta Jing Gao and Jiawei Han. 2013. Community Distribution Outlier Detection in Heterogeneous Information Networks ECML PKDD.  Manish Gupta Jing Gao and Jiawei Han. 2013. Community Distribution Outlier Detection in Heterogeneous Information Networks ECML PKDD.","DOI":"10.1007\/978-3-642-40988-2_36"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/312624.312649"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/1964858.1964870"},{"key":"e_1_3_2_1_21_1","unstructured":"Renjun Hu Charu C. Aggarwal Shuai Ma and Jinpeng Huai. 2016. An embedding approach to anomaly detection. In ICDE.  Renjun Hu Charu C. Aggarwal Shuai Ma and Jinpeng Huai. 2016. An embedding approach to anomaly detection. In ICDE."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2005.79"},{"key":"e_1_3_2_1_23_1","volume-title":"Ng","author":"Knorr Edwin M.","year":"1998","unstructured":"Edwin M. Knorr and Raymond T . Ng . 1998 . Algorithms for Mining Distance-Based Outliers in Large Datasets VLDB. Edwin M. Knorr and Raymond T. Ng. 1998. Algorithms for Mining Distance-Based Outliers in Large Datasets VLDB."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401946"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/1081870.1081891"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2016.2583429"},{"key":"e_1_3_2_1_27_1","unstructured":"Mario Lucic Olivier Bachem and Andreas Krause. 2016. Linear-Time Outlier Detection via Sensitivity. In IJCAI.   Mario Lucic Olivier Bachem and Andreas Krause. 2016. Linear-Time Outlier Detection via Sensitivity. In IJCAI."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"crossref","unstructured":"Emmanuel M\u00fcller Matthias Schiffer and Thomas Seidl. 2011. Statistical selection of relevant subspace projections for outlier ranking ICDE.  Emmanuel M\u00fcller Matthias Schiffer and Thomas Seidl. 2011. Statistical selection of relevant subspace projections for outlier ranking ICDE.","DOI":"10.1109\/ICDE.2011.5767916"},{"key":"e_1_3_2_1_29_1","unstructured":"Guansong Pang Longbing Cao and Ling Chen. 2016. Outlier Detection in Complex Categorical Data by Modeling the Feature Value Couplings IJCAI.   Guansong Pang Longbing Cao and Ling Chen. 2016. Outlier Detection in Complex Categorical Data by Modeling the Feature Value Couplings IJCAI."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/2339530.2339669"},{"key":"e_1_3_2_1_31_1","first-page":"1369","article-title":"Reverse Nearest Neighbors in Unsupervised Distance-Based Outlier Detection","volume":"27","author":"Radovanovic Milos","year":"2015","unstructured":"Milos Radovanovic , Alexandros Nanopoulos , and Mirjana Ivanovic . 2015 . Reverse Nearest Neighbors in Unsupervised Distance-Based Outlier Detection . IEEE TKDE , Vol. 27 , 5 (2015), 1369 -- 1382 . Milos Radovanovic, Alexandros Nanopoulos, and Mirjana Ivanovic. 2015. Reverse Nearest Neighbors in Unsupervised Distance-Based Outlier Detection. IEEE TKDE, Vol. 27, 5 (2015), 1369--1382.","journal-title":"IEEE TKDE"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/342009.335437"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/2168752.2168771"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/2009916.2010002"},{"key":"e_1_3_2_1_35_1","volume-title":"Aggarwal","author":"Sathe Saket","year":"2016","unstructured":"Saket Sathe and Charu C . Aggarwal . 2016 . LODES : Local Density Meets Spectral Outlier Detection SDM. Saket Sathe and Charu C. Aggarwal. 2016. LODES: Local Density Meets Spectral Outlier Detection SDM."},{"key":"e_1_3_2_1_36_1","unstructured":"M. Shyu S. Chen K. Sarinnapakorn and L. Chang. 2003. A novel anomaly detection scheme based on principal component classifier ICDMW.  M. Shyu S. Chen K. Sarinnapakorn and L. Chang. 2003. A novel anomaly detection scheme based on principal component classifier ICDMW."},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/2740908.2742839"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"crossref","unstructured":"Koen Smets and Jilles Vreeken. 2011. The Odd One Out: Identifying and Characterising Anomalies SDM.  Koen Smets and Jilles Vreeken. 2011. The Odd One Out: Identifying and Characterising Anomalies SDM.","DOI":"10.1137\/1.9781611972818.69"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"crossref","unstructured":"Hanghang Tong and Ching-Yung Lin. 2011. Non-Negative Residual Matrix Factorization with Application to Graph Anomaly Detection SDM.  Hanghang Tong and Ching-Yung Lin. 2011. Non-Negative Residual Matrix Factorization with Application to Graph Anomaly Detection SDM.","DOI":"10.1137\/1.9781611972818.13"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2011.52"},{"key":"e_1_3_2_1_41_1","unstructured":"Jianhua Yin and Jianyong Wang. 2016. A model-based approach for text clustering with outlier detection ICDE.  Jianhua Yin and Jianyong Wang. 2016. A model-based approach for text clustering with outlier detection ICDE."},{"key":"e_1_3_2_1_42_1","unstructured":"Weiren Yu Charu C. Aggarwal Shuai Ma and Haixun Wang. 2013. On Anomalous Hotspot Discovery in Graph Streams. ICDM.  Weiren Yu Charu C. Aggarwal Shuai Ma and Haixun Wang. 2013. On Anomalous Hotspot Discovery in Graph Streams. ICDM."},{"key":"e_1_3_2_1_43_1","unstructured":"Jian Zhang Zoubin Ghahramani and Yiming Yang. 2004. A Probabilistic Model for Online Document Clustering with Application to Novelty Detection. In NIPS.   Jian Zhang Zoubin Ghahramani and Yiming Yang. 2004. A Probabilistic Model for Online Document Clustering with Application to Novelty Detection. In NIPS."}],"event":{"name":"CIKM '17: ACM Conference on Information and Knowledge Management","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"],"location":"Singapore Singapore","acronym":"CIKM '17"},"container-title":["Proceedings of the 2017 ACM on Conference on Information and Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3132847.3132987","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3132847.3132987","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T02:13:46Z","timestamp":1750212826000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3132847.3132987"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,11,6]]},"references-count":43,"alternative-id":["10.1145\/3132847.3132987","10.1145\/3132847"],"URL":"https:\/\/doi.org\/10.1145\/3132847.3132987","relation":{},"subject":[],"published":{"date-parts":[[2017,11,6]]},"assertion":[{"value":"2017-11-06","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}