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Christos Faloutsos | Leman Akoglu | Stephan Günnemann | Mohit Kumar | Bryan Hooi | Neil Shah | Alex Beutel | Disha Makhija | C. Faloutsos | L. Akoglu | Stephan Günnemann | Alex Beutel | Neil Shah | Bryan Hooi | Mohit Kumar | Disha Makhija
[1] Yejin Choi,et al. Syntactic Stylometry for Deception Detection , 2012, ACL.
[2] E. L. Lehmann,et al. Theory of point estimation , 1950 .
[3] Venkatesan Guruswami,et al. CopyCatch: stopping group attacks by spotting lockstep behavior in social networks , 2013, WWW.
[4] Christos Faloutsos,et al. A General Suspiciousness Metric for Dense Blocks in Multimodal Data , 2015, 2015 IEEE International Conference on Data Mining.
[5] Ananthram Swami,et al. Com2: Fast Automatic Discovery of Temporal ('Comet') Communities , 2014, PAKDD.
[6] Christos Faloutsos,et al. RSC: Mining and Modeling Temporal Activity in Social Media , 2015, KDD.
[7] Yehuda Koren,et al. Factorization meets the neighborhood: a multifaceted collaborative filtering model , 2008, KDD.
[8] Philip S. Yu,et al. Review Graph Based Online Store Review Spammer Detection , 2011, 2011 IEEE 11th International Conference on Data Mining.
[9] Claire Cardie,et al. Finding Deceptive Opinion Spam by Any Stretch of the Imagination , 2011, ACL.
[10] Yehuda Koren,et al. Collaborative filtering with temporal dynamics , 2009, KDD.
[11] Christos Faloutsos,et al. Inferring Strange Behavior from Connectivity Pattern in Social Networks , 2014, PAKDD.
[12] Christos Faloutsos,et al. Netprobe: a fast and scalable system for fraud detection in online auction networks , 2007, WWW '07.
[13] Christos Faloutsos,et al. EigenSpokes: Surprising Patterns and Scalable Community Chipping in Large Graphs , 2010, PAKDD.
[14] Bing Liu,et al. Mining and summarizing customer reviews , 2004, KDD.
[15] Bing Liu,et al. Opinion spam and analysis , 2008, WSDM '08.
[16] Christos Faloutsos,et al. Spotting Suspicious Link Behavior with fBox: An Adversarial Perspective , 2014, 2014 IEEE International Conference on Data Mining.
[17] T. Minka. Estimating a Dirichlet distribution , 2012 .
[18] Alexander J. Smola,et al. CoBaFi: collaborative bayesian filtering , 2014, WWW.
[19] Sridhar Ramaswamy,et al. Efficient algorithms for mining outliers from large data sets , 2000, SIGMOD '00.
[20] Christos Faloutsos,et al. Detecting anomalies in dynamic rating data: a robust probabilistic model for rating evolution , 2014, KDD.
[21] Ee-Peng Lim,et al. Finding unusual review patterns using unexpected rules , 2010, CIKM.
[22] Leman Akoglu,et al. Discovering Opinion Spammer Groups by Network Footprints , 2015, ECML/PKDD.
[23] Majid Sarrafzadeh,et al. Unsupervised Discovery of Abnormal Activity Occurrences in Multi-dimensional Time Series, with Applications in Wearable Systems , 2010, SDM.
[24] Philip S. Yu,et al. Review spam detection via temporal pattern discovery , 2012, KDD.
[25] Ruslan Salakhutdinov,et al. Bayesian probabilistic matrix factorization using Markov chain Monte Carlo , 2008, ICML '08.
[26] Ee-Peng Lim,et al. Detecting product review spammers using rating behaviors , 2010, CIKM.
[27] Christos Faloutsos,et al. EdgeCentric: Anomaly Detection in Edge-Attributed Networks , 2015, 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW).
[28] Christos Faloutsos,et al. Opinion Fraud Detection in Online Reviews by Network Effects , 2013, ICWSM.
[29] Pang-Ning Tan,et al. Detection and Characterization of Anomalies in Multivariate Time Series , 2009, SDM.
[30] Christos Faloutsos,et al. Robust multivariate autoregression for anomaly detection in dynamic product ratings , 2014, WWW.
[31] Jiawei Han,et al. Mining Approximate Top-K Subspace Anomalies in Multi-Dimensional Time-Series Data , 2007, VLDB.