Michalis Vlachos  Michalis Vlachos photo         

contact information

Cognitive Systems
Zurich Research Laboratory, Zurich, Switzerland


Professional Associations

Professional Associations:  ACM Distinguished Speaker  |  IBM Academy of Technology  |  IEEE, Senior Member

more information

More information:  ERC project - Exact Mining from InExact Data

Recommender Systems

  1. M. Vlachos, C. Dünner, R. Heckel, V. Vassiliadis, T. Parnell, K. Atasu: Addressing Interpretability and Cold-Start in Matrix Factorization for Recommender Systems. IEEE Trans. Knowledge Data Eng., 2018
  2. Reinhard Heckel, Michail Vlachos, Thomas P. Parnell, Celestine Dünner:
Scalable and Interpretable Product Recommendations via Overlapping Co-Clustering. IEEE ICDE 2017: 1033-1044
  3. Kubilay Atasu, Thomas P. Parnell, Celestine Dünner, Michail Vlachos, Haralampos Pozidis:
High-Performance Recommender System Training Using Co-Clustering on CPU/GPU Clusters. ICPP 2017: 372-381
  4. Michail Vlachos, Vassilios G. Vassiliadis, Reinhard Heckel, A. Labbi:
Toward interpretable predictive models in B2B recommender systems. IBM Journal of Research and Development 60(5/6): 11- (2016)
  5. Michail Vlachos, Francesco Fusco, Charalampos Mavroforakis, Anastasios Kyrillidis, Vassilios G. Vassiliadis:
Improving Co-Cluster Quality with Application to Product Recommendations. CIKM 2014: 679-688

Machine Learning & Data Mining

  1. Johannes Schneider, Michail Vlachos:
Scalable density-based clustering with quality guarantees using random projections. Data Min. Knowl. Discov. 31(4): 972-1005 (2017)
  2. Michail Vlachos:
Dimensionality Reduction. Encyclopedia of Machine Learning and Data Mining 2017: 354-361
  3. Johannes Schneider, Jasmina Bogojeska, Michail Vlachos:
Solving Linear SVMs with Multiple 1D Projections. CIKM 2014: 221-230
  4. Johannes Schneider, Michail Vlachos:
On Randomly Projected Hierarchical Clustering with Guarantees. SDM 2014: 407-415
  5. Johannes Schneider, Michail Vlachos:
Fast parameterless density-based clustering via random projections. CIKM 2013: 861-866
  6. Nikolaos M. Freris, Michail Vlachos, Deepak S. Turaga:
Cluster-Aware Compression with Provable K-means Preservation. SDM 2012: 82-93
  7. Michail Vlachos, Kun-Lung Wu, Shyh-Kwei Chen, Philip S. Yu:
Correlating burst events on streaming stock market data. Data Min. Knowl. Discov. 16(1): 109-133 (2008)
  8. Michail Vlachos, Philip S. Yu, Vittorio Castelli, Christopher Meek:
Structural Periodic Measures for Time-Series Data. Data Min. Knowl. Discov. 12(1): 1-28 (2006)
  9. Chotirat (Ann) Ratanamahatana, Jessica Lin, Dimitrios Gunopulos, Eamonn J. Keogh, Michail Vlachos, Gautam Das:
Mining Time Series Data. The Data Mining and Knowledge Discovery Handbook 2005: 1069-1103
  10. Michail Vlachos, Dimitrios Gunopulos, Gautam Das:
Rotation invariant distance measures for trajectories. KDD 2004: 707-712
  11. Michail Vlachos, Marios Hadjieleftheriou, Dimitrios Gunopulos, Eamonn J. Keogh:
Indexing multi-dimensional time-series with support for multiple distance measures. KDD 2003: 216-225
  12. Michail Vlachos, Carlotta Domeniconi, Dimitrios Gunopulos, George Kollios, Nick Koudas:
Non-linear dimensionality reduction techniques for classification and visualization. KDD 2002: 645-651


Big Data & Data Science

  1. Reinhard Heckel, Michail Vlachos:
Private and Right-Protected Big Data Publication: An Analysis. SDM 2017: 660-668
  2. Kubilay Atasu, Thomas P. Parnell, Celestine Dünner, Manolis Sifalakis, Haralampos Pozidis, Vasileios Vasileiadis, Michail Vlachos, Cesar Berrospi, Abdel Labbi:
Linear-Complexity Relaxed Word Mover's Distance with GPU Acceleration
  3. Michail Vlachos, Johannes Schneider, Vassilios G. Vassiliadis:
On Data Publishing with Clustering Preservation. TKDD 9(3): 23:1-23:30 (2015)
  4. Michail Vlachos, Nikolaos M. Freris, Anastasios Kyrillidis:
Compressive mining: fast and optimal data mining in the compressed domain. VLDB J. 24(1): 1-24 (2015)
  5. Spyros I. Zoumpoulis, Michail Vlachos, Nikolaos M. Freris, Claudio Lucchese:
Right-Protected Data Publishing with Provable Distance-Based Mining. IEEE Trans. Knowl. Data Eng. 26(8): 2014-2028 (2014)
  6. Francesco Fusco, Michail Vlachos, Marc Ph. Stoecklin:
Real-time creation of bitmap indexes on streaming network data. VLDB J. 21(3): 287-307 (2012)
  7. Michail Vlachos, Aleksander Wieczorek, Johannes Schneider:
Right-protected data publishing with hierarchical clustering preservation. CIKM 2012: 654-663
  8. Michail Vlachos, Aris Anagnostopoulos, Olivier Verscheure, Philip S. Yu:
Online pairing of VoIP conversations. VLDB J. 18(1): 77-98 (2009)
  9. Michail Vlachos, Suleyman Serdar Kozat, Philip S. Yu:
Optimal Distance Bounds on Time-Series Data. SDM 2009: 109-120
  10. Michail Vlachos:
Indexing and Similarity Search. Encyclopedia of Database Systems 2009: 1438-1442
  11. Michail Vlachos, Christopher Meek, Zografoula Vagena, Dimitrios Gunopulos:
Identifying Similarities, Periodicities and Bursts for Online Search Queries. SIGMOD Conference 2004: 131-142



  1. Michail Vlachos, Daniel Svonava:
Recommendation and visualization of similar movies using minimum spanning dendrograms. Information Visualization 12(1): 85-101 (2013)
  2. Daniel Svonava, Michail Vlachos:
Visualizing Graphs Using Minimum Spanning Dendrograms. ICDM 2010: 1073-1078


Information Retrieval

  1. Anastasios Zouzias, Michail Vlachos, Vagelis Hristidis:
Templated Search over Relational Databases. CIKM 2014: 21-30
  2. Theodoros Lappas, Michail Vlachos:
Customizing search results for non-native speakers. CIKM 2012: 1829-1833


  1. Tien Huynh, Michail Vlachos, Isidore Rigoutsos:
Anchoring millions of distinct reads on the human genome within seconds. EDBT 2010: 252-262
  2. Suleyman Serdar Kozat, Michail Vlachos, Claudio Lucchese, Helga Van Herle, Philip S. Yu:
Embedding and Retrieving Private Metadata in Electrocardiograms. J. Medical Systems 33(4): 241-259 (2009)
  3. Michail Vlachos, Bahar Taneri, Eamonn J. Keogh, Philip S. Yu:
Visual Exploration of Genomic Data. PKDD 2007: 613-620