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Research Interests

I'm interested in Data Mining, Signal Processing & Optimization Algorithms for Data Mining and Multi-way (Tensor) Analysis, as well Coupled Matrix-Tensor Analysis. More specifically, I'm currently interested in discovering how knowledge and information is expressed and stored in the brain, through analyzing brain scan data (possibly from diverse experiments), coupled with external information. Additionally, I'm also interested in anomaly detection on very large graphs, especially when temporal or multi-view information is present.

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Contact

Email

  • epapalexcs dot cmu dot edu
  • vagelis.papalexakisgmail dot com
  • vag_papalexyahoo dot gr

Location

GHC 9219
Computer Science Department
Carnegie Mellon University
5000 Forbes Avenue
Pittsburgh, PA 15213
USA

Web Presence

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Go to Conference Papers, Journal Papers, Invited Talks, Tutorials, Book Chapters, and Workshop Papers.


Conference Papers

2014

  1. Evangelos E. Papalexakis, Alona Fyshe, Nicholas Sidiropoulos,Partha Pratim Talukdar, Tom Mitchell,Christos Faloutsos, Good-Enough Brain Model: Challenges, Algorithms and Discoveries in Multi-Subject Experiments, ACM SIGKDD 2014, New York City, USA Paper [To Appear]
  2. Ching-Hao Mao, Chung-Jung Wu, Kuo-Chen Lee, Evangelos E. Papalexakis, Christos Faloutsos, MalSpot: Multi^2 Malicious Network Behavior Patterns Analysis, PAKDD 2014, Tainan, Taiwan Paper
  3. Miguel Araujo, Spiros Papadimitriou, Stephan G√ľnnemann, Christos Faloutsos, Prithwish Basu, Ananthram Swami, Evangelos Papalexakis, Danai Koutra, Com2: Fast Automatic Discovery of Temporal (Comet) Communities, PAKDD 2014, Tainan, Taiwan Paper
    • Best student paper award (runner up)
  4. Nicholas Sidiropoulos, Evangelos E. Papalexakis, Christos Faloutsos, A Parallel Algorithm for Big Tensor Decomposition Using Randomly Compressed Cubes (PARACOMP), ICASSP 2014, Florence, Italy [To appear] Paper
  5. Evangelos Papalexakis, Tom Mitchell, Nicholas Sidiropoulos, Christos Faloutsos, Partha Pratim Talukdar, Brian Murphy, Turbo-SMT: Accelerating Coupled Sparse Matrix-Tensor Factorizations by 200x, SDM 2014, Philadelphia, PA, USA Paper Supplementary Material Code Talk slides
    • Selected as one of the best papers of SDM 2014
  6. Alex Beutel, Abhimanu Kumar, Evangelos E. Papalexakis, Partha Pratim Talukdar, Christos Faloutsos, Eric Xing, FlexiFact: Scalable Flexible Factorization of Coupled Tensors on Hadoop SDM 2014, Philadelphia, PA, USA Paper
  7. Evangelos E. Papalexakis, Konstantinos Pelechrinis, Christos Faloutsos, Spotting Misbehaviors in Location-based Social Networks using Tensors, WWW 2014 Web Science Track (poster), Seoul, Korea Paper Poster
  8. Ariel Fuxman, Ashok Chandra, Pradeep Chilakamarri, Michael Gamon, Bernhard Kohlmeir, Yuanhua Lv, Dhyanesh Narayanan, Patrick Pantel, Evangelos E. Papalexakis, Bo Zhao, Contextual Insights, WWW 2014 (Poster Track), Seoul, Korea Paper

2013

  1. Evangelos E. Papalexakis, Tudor Dumitras, Duen Horng (Polo) Chau, B. Aditya Prakash, Christos Faloutsos, Spatio-temporal Mining of Software Adoption & Penetration,
  2. ASONAM 2013, Niagara Falls, Canada, August 2013 Paper
    • Selected as one of the best papers for possible publication in the "Social Network Analysis and Mining" journal, by Springer
  3. Evangelos E. Papalexakis, Leman Akoglu, Dino Ienco, Do more Views of a Graph help? Community Detection and Clustering in Multi-Graphs, Fusion 2013, Istanbul, Turkey Paper Code Talk slides
  4. Misael Mongiovi, Petko Bogdanov, Razvan Ranca, Ambuj K. Singh, Evangelos E. Papalexakis, Christos Faloutsos NetSpot: Spotting Significant Anomalous Regions on Dynamic Networks, SDM 2013, Austin, Texas, May 2013 Paper Supplementary Material
  5. Yasuko Matsubara, Lei Li, Evangelos E. Papalexakis, David Lo, Yasushi Sakurai, Christos Faloutsos F-Trail: Finding Patterns in Taxi Trajectories, PAKDD 2013, Gold Coast, Queensland, Australia, April 2013 Paper

2012

  1. Danai Koutra, Evangelos E. Papalexakis, Christos Faloutsos, TensorSplat: Spotting Latent Anomalies in Time, PCI (16th Panhellenic Conference on Informatics with international participation), Piraeus, Greece, Oct. 2012 Paper
  2. Evangelos E. Papalexakis, Christos Faloutsos, Nicholaos D. Sidiropoulos ParCube: Sparse Parallelizable Tensor Decompositions, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2012 (ECML-PKDD), Bristol, United Kingdom Paper Poster Talk slides Code [UPDATED, JUNE 2013]
  3. Evangelos E. Papalexakis, Alex Beutel, Peter Steenkiste, Network Anomaly Detection using Co-clustering, IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining ASONAM 2012, Istanbul, Turkey Paper [Selected as one of the best papers for possible publication in the "Springer Encyclopedia of Social Network Analysis and Mining"]
  4. U Kang, Evangelos E. Papalexakis, Abhay Harpale, Christos Faloutsos, GigaTensor: Scaling Tensor Analysis Up By 100 Times - Algorithms and Discoveries, ACM SIGKDD 2012, Beijing, China, Paper

2011

  1. Evangelos E. Papalexakis, Nicholaos D. Sidiropoulos, Co-clustering as multilinear decomposition with sparse latent factors, IEEE ICASSP 2011, Prague, Czech Republic Paper Poster
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Journal Papers

2014

  1. Evrim Acar, Evangelos E. Papalexakis, Gozde Gurdeniz, M. Rasmussen, A. J. Lawaetz, M. Nilsson, Rasmus Bro, Structure-Revealing Data Fusion, BMC Bioinformatics, 2014 [To appear]
  2. Nicholaos D. Sidiropoulos, Evangelos E. Papalexakis, Christos Faloutsos PArallel RAndomly COMPressed Cubes (PARACOMP): A Scalable Distributed Architecture for Big Tensor Decomposition, IEEE Signal Processing Magazine, Special Issue on Signal Processing for Big Data, 2014 Paper [To appear]

2013

  1. Evangelos E. Papalexakis, U Kang, Christos Faloutsos, Nicholaos D. Sidiropoulos, Abhay Harpale Large Scale Tensor Decompositions: Algorithmic Developments and Applications , IEEE Data Engineering Bulletin, September 2013 Paper
  2. U Kang, Brendan Meeder, Evangelos E. Papalexakis, Christos Faloutsos, HEigen: Spectral Analysis for Billion-Scale Graphs, IEEE Transactions on Knowledge and Data Engineering

2012

  1. Evangelos E. Papalexakis, Nicholaos D. Sidiropoulos, Rasmus Bro, From K-means to higher-way co-clustering: multilinear decomposition with sparse latent factors, IEEE Transactions on Signal Processing, Paper Code
  2. Rasmus Bro, Evangelos E. Papalexakis, Evrim Acar, Nicholaos D. Sidiropoulos, Coclustering - a useful tool for Chemometrics, Journal of Chemometrics, January 2012 Paper Code
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Tutorials

  1. Nicholaos D. Sidiropoulos, Evangelos E. Papalexakis, Factoring Tensors in the Cloud: A Tutorial on Big Tensor Data Analytics, IEEE ICASSP 2014, Florence, Italy Abstract Slides
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Invited Talks

  1. Big Arctic Data: A tutorial on Big Data, Arctic Analysis 2014, Ilulissat, Greenland, March 2014 [Slides available upon request]
  2. Scaling Up Tensor Decompositions with MapReduce, SIAM Conference on Parallel Processing (PP), Portland, OR, Feb. 19, 2014
  3. Data Mining using Coupled Matrix Tensor Factorization, SIAM Conference on Computational Science and Engineering (CSE), Boston, MA, Feb. 25- March 1, 2013 (Minisymposium Speaker) Slides
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Book Chapters

  1. Evangelos E. Papalexakis, Alex Beutel, Peter Steenkiste, Network Anomaly Detection using Co-clustering, Springer Encyclopedia of Social Network Analysis and Mining, in press
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Workshop Papers

  1. Alex Beutel, Abhimanu Kumar, Evangelos E. Papalexakis, Partha Pratim Talukdar, Christos Faloutsos, Eric Xing, FlexiFact: Scalable Flexible Factorization of Coupled Tensors on Hadoop, NIPS 2013 Big Learning Workshop, Paper
  2. Evangelos E. Papalexakis, Nicholaos D. Sidiropoulos, Minos Garofalakis, Reviewer Profiling Using Sparse Matrix Regression, IEEE OEDM 2010 Workshop, held in conjuction with ICDM 2010, Sydney, Australia Paper Talk Slides
  3. Nicholaos D. Sidiropoulos, Evangelos E. Papalexakis, Three-way Co-clustering, SIAM workshop on Tensor Decompositions and Applications (TDA 2010), Monopoli, Bari, Italy, 13-17 September 2010 Talk Slides
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