{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T16:05:11Z","timestamp":1781107511664,"version":"3.54.1"},"publisher-location":"New York, NY, USA","reference-count":30,"publisher":"ACM","license":[{"start":{"date-parts":[[2017,8,4]],"date-time":"2017-08-04T00:00:00Z","timestamp":1501804800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Natural Science Foundation of China","award":["71329201"],"award-info":[{"award-number":["71329201"]}]},{"name":"Futurewei Technologies, Inc."}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2017,8,4]]},"DOI":"10.1145\/3097983.3098049","type":"proceedings-article","created":{"date-parts":[[2017,8,4]],"date-time":"2017-08-04T18:35:54Z","timestamp":1501871754000},"page":"335-344","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":56,"title":["Effective and Real-time In-App Activity Analysis in Encrypted Internet Traffic Streams"],"prefix":"10.1145","author":[{"given":"Junming","family":"Liu","sequence":"first","affiliation":[{"name":"Rutgers University, Newark, NJ, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanjie","family":"Fu","sequence":"additional","affiliation":[{"name":"Missouri University of Science and Technology, Rolla, MO, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jingci","family":"Ming","sequence":"additional","affiliation":[{"name":"Rutgers University, Newark, NJ, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yong","family":"Ren","sequence":"additional","affiliation":[{"name":"Futurewei Tech. Inc, Bridgewater, NJ, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Leilei","family":"Sun","sequence":"additional","affiliation":[{"name":"Tsinghua University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hui","family":"Xiong","sequence":"additional","affiliation":[{"name":"Rutgers University, Newark, NJ, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2017,8,4]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.is.2015.04.007"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-011-0417-1"},{"key":"e_1_3_2_2_3_1","volume-title":"Data Engineering, 1999. Proceedings., 15th International Conference on. IEEE, 126--133","author":"Chan Kin-Pong","year":"1999","unstructured":"Kin-Pong Chan and Ada Wai-Chee Fu . 1999 . Efficient time series matching by wavelets . In Data Engineering, 1999. Proceedings., 15th International Conference on. IEEE, 126--133 . Kin-Pong Chan and Ada Wai-Chee Fu. 1999. Efficient time series matching by wavelets. In Data Engineering, 1999. Proceedings., 15th International Conference on. IEEE, 126--133."},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2010.09.007"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/1814433.1814453"},{"key":"e_1_3_2_2_6_1","volume-title":"Service Usage Analysis in Mobile Messaging Apps: A Multi-label Multi-view Perspective. In 2016 IEEE 16th International Conference on Data Mining (ICDM). 877--882","author":"Fu Y.","year":"2016","unstructured":"Y. Fu , J. Liu , X. Li , X. Lu , J. Ming , C. Guan , and H. Xiong . 2016 . Service Usage Analysis in Mobile Messaging Apps: A Multi-label Multi-view Perspective. In 2016 IEEE 16th International Conference on Data Mining (ICDM). 877--882 . https:\/\/doi.org\/ 10.1109\/ICDM. 2016 .0106 Y. Fu, J. Liu, X. Li, X. Lu, J. Ming, C. Guan, and H. Xiong. 2016. Service Usage Analysis in Mobile Messaging Apps: A Multi-label Multi-view Perspective. In 2016 IEEE 16th International Conference on Data Mining (ICDM). 877--882. https:\/\/doi.org\/ 10.1109\/ICDM.2016.0106"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2016.2516020"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2011.01.017"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/1080173.1080183"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/PL00011669"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2001.989531"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2001.989531"},{"key":"e_1_3_2_2_13_1","first-page":"239","article-title":"An Enhanced Representation of Time Series Which Allows Fast and Accurate Classification, Clustering and Relevance Feedback","volume":"98","author":"Keogh Eamonn J","year":"1998","unstructured":"Eamonn J Keogh and Michael J Pazzani . 1998 . An Enhanced Representation of Time Series Which Allows Fast and Accurate Classification, Clustering and Relevance Feedback .. In KDD , Vol. 98. 239 -- 243 . Eamonn J Keogh and Michael J Pazzani. 1998. An Enhanced Representation of Time Series Which Allows Fast and Accurate Classification, Clustering and Relevance Feedback.. In KDD, Vol. 98. 239--243.","journal-title":"KDD"},{"key":"e_1_3_2_2_14_1","volume-title":"KDD-2000 Workshop. 37--44","author":"Lavrenko Victor","year":"2000","unstructured":"Victor Lavrenko , Matt Schmill , Dawn Lawrie , Paul Ogilvie , David Jensen , and James Allan . 2000 . Mining of concurrent text and time series . In KDD-2000 Workshop. 37--44 . Victor Lavrenko, Matt Schmill, Dawn Lawrie, Paul Ogilvie, David Jensen, and James Allan. 2000. Mining of concurrent text and time series. In KDD-2000 Workshop. 37--44."},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/288627.288666"},{"key":"e_1_3_2_2_16_1","volume-title":"Clustering of time series data-a survey. Pattern recognition 38, 11","author":"Liao T Warren","year":"2005","unstructured":"T Warren Liao . 2005. Clustering of time series data-a survey. Pattern recognition 38, 11 ( 2005 ), 1857--1874. T Warren Liao. 2005. Clustering of time series data-a survey. Pattern recognition 38, 11 (2005), 1857--1874."},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2005.01.025"},{"key":"e_1_3_2_2_18_1","volume-title":"Understanding of Internal Clustering Validation Measures. In 2010 IEEE International Conference on Data Mining. 911--916","author":"Liu Y.","year":"2010","unstructured":"Y. Liu , Z. Li , H. Xiong , X. Gao , and J. Wu . 2010 . Understanding of Internal Clustering Validation Measures. In 2010 IEEE International Conference on Data Mining. 911--916 . https: \/\/doi.org\/10.1109\/ICDM. 2010 .35 Y. Liu, Z. Li, H. Xiong, X. Gao, and J. Wu. 2010. Understanding of Internal Clustering Validation Measures. In 2010 IEEE International Conference on Data Mining. 911--916. https: \/\/doi.org\/10.1109\/ICDM.2010.35"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/372202.372334"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2000.839385"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/1999995.2000026"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICTAI.2008.12"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICTAI.2004.50"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11634-011-0096-5"},{"key":"e_1_3_2_2_25_1","unstructured":"Pang-Ning Tan etal 2006. Introduction to data mining. Pearson Education India.  Pang-Ning Tan et al. 2006. Introduction to data mining. Pearson Education India."},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-36516-4_7"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00779-008-0197-0"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/2068816.2068847"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/LCN.2005.35"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/584792.584877"}],"event":{"name":"KDD '17: The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","location":"Halifax NS Canada","acronym":"KDD '17","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"]},"container-title":["Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3097983.3098049","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3097983.3098049","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T03:30:25Z","timestamp":1750217425000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3097983.3098049"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,8,4]]},"references-count":30,"alternative-id":["10.1145\/3097983.3098049","10.1145\/3097983"],"URL":"https:\/\/doi.org\/10.1145\/3097983.3098049","relation":{},"subject":[],"published":{"date-parts":[[2017,8,4]]},"assertion":[{"value":"2017-08-04","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}