Temporal Anomaly Detection in Social Media.

Skryzalin, Jacek; Fisher, Andrew N; Bauer, Travis L.

doi:10.1145/3110025.3110056

Title: Temporal Anomaly Detection in Social Media.

Conference · Wed Mar 01 00:00:00 EST 2017

DOI:https://doi.org/10.1145/3110025.3110056· OSTI ID:1427443

Skryzalin, Jacek; Fisher, Andrew N; Bauer, Travis L.

Abstract not provided.

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Research Organization:: Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Sponsoring Organization:: JIDA

DOE Contract Number:: AC04-94AL85000

OSTI ID:: 1427443

Report Number(s):: SAND2017-2378C; 651443

Resource Relation:: Conference: Proposed for presentation at the ASONAM held July 31 - August 3, 2017 in Sydney, Australia.

Country of Publication:: United States

Language:: English

References (12)

Twitter Trending Topic Classification Lee, Kathy; Palsetia, Diana; Narayanan, Ramanathan 2011 IEEE International Conference on Data Mining Workshops (ICDMW), 2011 IEEE 11th International Conference on Data Mining Workshops https://doi.org/10.1109/ICDMW.2011.171	conference	December 2011
Dynamic topic models Blei, David M.; Lafferty, John D. Proceedings of the 23rd international conference on Machine learning - ICML '06 https://doi.org/10.1145/1143844.1143859	conference	January 2006
On-line LDA: Adaptive Topic Models for Mining Text Streams with Applications to Topic Detection and Tracking AlSumait, Loulwah; Barbará, Daniel; Domeniconi, Carlotta 2008 Eighth IEEE International Conference on Data Mining (ICDM) https://doi.org/10.1109/ICDM.2008.140	conference	December 2008
Topics over time: a non-Markov continuous-time model of topical trends Wang, Xuerui; McCallum, Andrew Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '06 https://doi.org/10.1145/1150402.1150450	conference	January 2006
Bursty and hierarchical structure in streams Kleinberg, Jon Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '02 https://doi.org/10.1145/775047.775061	conference	January 2002
Meme-tracking and the dynamics of the news cycle Leskovec, Jure; Backstrom, Lars; Kleinberg, Jon Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '09 https://doi.org/10.1145/1557019.1557077	conference	January 2009
A statistical approach to combining multisource information in one-class classifiers: SIMONSON Simonson, Katherine M.; Derek West, R.; Hansen, Ross L. Statistical Analysis and Data Mining: The ASA Data Science Journal, Vol. 10, Issue 4 https://doi.org/10.1002/sam.11342	journal	June 2017
Topic dynamics: an alternative model of bursts in streams of topics He, Dan; Parker, D. Stott Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '10 https://doi.org/10.1145/1835804.1835862	conference	January 2010
A short note on parameter approximation for von Mises-Fisher distributions: and a fast implementation of I s (x) Sra, Suvrit Computational Statistics, Vol. 27, Issue 1 https://doi.org/10.1007/s00180-011-0232-x	journal	February 2011
Tracking dynamics of topic trends using a finite mixture model Morinaga, Satoshi; Yamanishi, Kenji Proceedings of the 2004 ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '04 https://doi.org/10.1145/1014052.1016919	conference	January 2004
You are where you tweet: a content-based approach to geo-locating twitter users Cheng, Zhiyuan; Caverlee, James; Lee, Kyumin Proceedings of the 19th ACM international conference on Information and knowledge management - CIKM '10 https://doi.org/10.1145/1871437.1871535	conference	January 2010
Extracting significant time varying features from text Swan, Russell; Allan, James Proceedings of the eighth international conference on Information and knowledge management - CIKM '99 https://doi.org/10.1145/319950.319956	conference	January 1999

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