Michalis Vlachos  Michalis Vlachos photo       

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Cognitive Systems
Zurich Research Laboratory, Zurich, Switzerland
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More information:  ERC project - MinInEXACT


2017

Similarity Measures
Michail Vlachos
Encyclopedia of Machine Learning and Data Mining 2017: 1163-1166

Scalable and Interpretable Product Recommendations via Overlapping Co-Clustering
Reinhard Heckel, Michail Vlachos, Thomas P. Parnell, Celestine Duenner
ICDE: 1033-1044, 2017


2016

Toward interpretable predictive models in B2B recommender systems
Michail Vlachos, Vassilios G. Vassiliadis, Reinhard Heckel, A. Labbi
IBM Journal of Research and Development 60(5/6): 11- (2016)


2015

On Data Publishing with Clustering Preservation
Michail Vlachos, Johannes Schneider, Vassilios G. Vassiliadis
TKDD 9(3): 23:1-23:30, 2015


2014

Compressive mining: fast and optimal data mining in the compressed domain
Michail Vlachos, Nikolaos M Freris, Anastasios Kyrillidis
The VLDB Journal 24(1), 1-24, Springer, 2014

Templated Search over Relational Databases
Anastasios Zouzias, Michail Vlachos, Vagelis Hristidis
Proceedings of the 23rd ACM International Conference on Information and Knowledge Management, pp. 21-30, 2014

Rights Protection of Multidimensional Time-Series Datasets with Neighborhood Preservation
Claudio Lucchese, Michail Vlachos, Deepak Rajan, Philip S Yu
IEEE Trans. Knowl. Data Eng. 26(8), 2014-2028

Solving Linear SVMs with Multiple 1D Projections
Johannes Schneider, Jasmina Bogojeska, Michail Vlachos
Proceedings of the 23rd ACM International Conference on Information and Knowledge Management, pp. 221-230, 2014

Improving Co-Cluster Quality with Application to Product Recommendations
Michail Vlachos, Francesco Fusco, Charalambos Mavroforakis, Anastasios Kyrillidis, Vassilios G Vassiliadis
Proceedings of the 23rd ACM International Conference on Information and Knowledge Management, pp. 679-688, 2014

Approximate matrix multiplication with application to linear embeddings
Anastasios Kyrillidis, Michail Vlachos, Anastasios Zouzias
IEEE International Symposium on Information Theory (ISIT), pp. 2182-2186, 2014

On randomly projected hierarchical clustering with guarantees
Johannes Schneider, Michail Vlachos
SIAM International Conference on Data Mining (SDM), 2014


2013

Crowdsourced trace similarity with smartphones
Demetrios Zeinalipour-Yazti, Christos Laoudias, Costandinos Costa, Michail Vlachos, Maria I Andreou, Dimitrios Gunopulos
IEEE Transactions on Knowledge and Data Engineering 25(6), 1240-1253, 2013

Fast parameterless density-based clustering via random projections
Johannes Schneider, Michail Vlachos
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management, pp. 861-866, 2013

Indexing million of packets per second using GPUs
Francesco Fusco, Michail Vlachos, Xenofontas Dimitropoulos, Luca Deri
Proceedings of the 2013 Conference on Internet Measurement, pp. 327-332

Right-Protected Data Publishing with Provable Distance-based Mining
Spyros I Zoumpoulis, Claudio Lucchese, Michail Vlachos, Nikolaos M Freris
IEEE Transactions on Knowledge and Data Engineering, 1, 2013



2012


Customizing search results for non-native speakers
Theodoros Lappas, Michail Vlachos
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, pp. 1829-1833, 2012

Real-time creation of bitmap indexes on streaming network data
Francesco Fusco, Michail Vlachos, Marc Ph. Stoecklin
The VLDB Journal 21(3), 1-21, 2012

Cluster-Aware Compression with Provable K-means Preservation.
Nikolaos M Freris, Michail Vlachos, Deepak S Turaga
2012 SIAM Internation Conference on Data Mining, pp. 82-93

Unsupervised sparse matrix co-clustering for marketing and sales intelligence
Anastasios Zouzias, Michail Vlachos, Nikolaos M Freris
Advances in Knowledge Discovery and Data Mining, pp. 591--603, Springer, 2012

Right-protected data publishing with hierarchical clustering preservation
Michail Vlachos, Aleksander Wieczorek, Johannes Schneider
21st ACM International Conference on Information and Knowledge Management, pp. 654-663, 2012

Optimal Distance Estimation Between Compressed Data Series.
Nikolaos M Freris, Michail Vlachos, Suleyman Serdar Kozat
2012 SIAM Internation Conference on Data Mining, pp. 343-354

Graph Embeddings for Movie Visualization and Recommendation
Michail Vlachos, Daniel Svonava
1st International Workshop on Recommendation Technologies for Lifestyle Change, pp. 56, 2012

RasterZip: compressing network monitoring data with support for partial decompression
Francesco Fusco, Michail Vlachos, Xenofontas Dimitropoulos
Proceedings 2012 ACM Conference on Internet Measurement, pp. 51-64

pcapIndex: an index for network packet traces with legacy compatibility
Francesco Fusco, Xenofontas Dimitropoulos, Michail Vlachos, Luca Deri
ACM SIGCOMM Computer Communication Review 42(1), 47-53, 2012


2011

Ranking German Texts by Comprehensibility for Foreign Document Retrieval
Michail Vlachos, Theodoros Lappas
SIGIR Workshop on Enriching Information Retrieval (ENI R 2011), Beijing, China


2010

Similarity Measures
Michail Vlachos
Encyclopedia of Machine Learning, 903-906, Springer, 2010

Dimensionality Reduction
Michail Vlachos
Encyclopedia of Machine Learning, pp. 274--279, Springer, 2010

Rights protection of trajectory datasets with nearest-neighbor preservation
Claudio Lucchese, Michail Vlachos, Deepak Rajan, Philip S Yu
The VLDB Journal—The International Journal on Very Large Data Bases 19(4), 531-556, 2010

Anchoring millions of distinct reads on the human genome within seconds
Tien Huynh, Michail Vlachos, Isidore Rigoutsos
Proceedings of the 13th International Conference on Extending Database Technology, pp. 252--262, 2010

Visualizing Graphs Using Minimum Spanning Dendrograms
Daniel Svonava, Michail Vlachos
10th International Conference on Data Mining (ICDM), pp. 1073-1078, 2010


Optimal distance bounds for fast search on compressed time-series query logs
Michail Vlachos, Suleyman S Kozat, Philip S Yu
ACM Transactions on the Web (TWEB) 4(2), 6, ACM, 2010


2009

Indexing and Similarity Search
Michail Vlachos
Encyclopedia of Database Systems, pp. 1438--1442, Springer, 2009

Finding the K highest-ranked answers in a distributed network
Demetrios Zeinalipour-Yazti, Zografoula Vagena, Vana Kalogeraki, Dimitrios Gunopulos, Vassilis J Tsotras, Michail Vlachos, Nick Koudas, Divesh Srivastava
Computer Networks 53(9), 1431-1449, Elsevier, 2009

Information discovery across multiple streams
Vagelis Hristidis, Oscar Valdivia, Michail Vlachos, Philip S Yu
Information Sciences 179(19), 3268-3285, Elsevier, 2009

Online pairing of VoIP conversations
Michail Vlachos, Aris Anagnostopoulos, Olivier Verscheure, Philip S. Yu
VLDB J. 18(1), 77--98, 2009

Embedding and Retrieving Private Metadata in Electrocardiograms
Suleyman S Kozat, Michail Vlachos, Claudio Lucchese, Helga Van Herle, S Yu Philip
Journal of Medical Systems 33(4), 241-259, Springer, 2009

Supporting exact indexing of arbitrarily rotated shapes and periodic time series under Euclidean and warping distance measures
Eamonn Keogh, Li Wei, Xiaopeng Xi, Michail Vlachos, Sang-Hee Lee, Pavlos Protopapas
The VLDB Journal—The International Journal on Very Large Data Bases 18(3), 611-630, Springer-Verlag New York, Inc., 2009

On K-Means Cluster Preservation Using Quantization Schemes
Deepak S. Turaga, Michail Vlachos, Olivier Verscheure
ICDM 2009, The Ninth IEEE International Conference on Data Mining, Miami, Florida, USA, 6-9 December 2009, pp. 533--542

Optimal Distance Bounds on Time-Series Data.
Michail Vlachos, Suleyman Serdar Kozat, S Yu Philip
2009 SIAM International Conference on Data Mining, pp. 109-120


2008

Trajectories, Discovering Similar
George Kollios, Michail Vlachos, Dimitris Gunopulos
Encyclopedia of GIS, pp. 1168--1173, Springer, 2008

Correlating burst events on streaming stock market data
Michail Vlachos, Kun-Lung Wu, Shyh-Kwei Chen, S Yu Philip
Data Mining and Knowledge Discovery 16(1), 109-133, Springer, 2008

Streaming time series summarization using user-defined amnesic functions
Themis Palpanas, Michail Vlachos, Eamonn Keogh, Dimitrios Gunopulos
IEEE Transactions on Knowledge and Data Engineering 20(7), 992-1006, 2008

Rights protection of trajectory datasets
Claudio Lucchese, Michail Vlachos, Deepak Rajan, Philip S Yu
IEEE 24th International Conference on Data Engineering "ICDE 2008", pp. 1349-1351

Ownership protection of shape datasets with geodesic distance preservation
Michail Vlachos, Claudio Lucchese, Deepak Rajan, Philip S Yu
Proceedings of the 11th International Conference on Extending Database Technology: Advances in Database Technology, pp. 276-286, 2008


2007

Visual exploration of genomic data
Michail Vlachos, Bahar Taneri, Eamonn Keogh, S Yu Philip
Knowledge Discovery in Databases: PKDD 2007, pp. 613--620, Springer

Domain-driven, actionable knowledge discovery
Longbing Cao, Chengqi Zhang, David Taniar, Eugene Dubossarsky, Warwick Graco, Qiang Yang, David Bell, Michail Vlachos, Bahar Taneri, Eamonn Keogh, others
IEEE Intelligent Systems pp. 4, 78-88, 2007

A System for Keyword Search on Textual Streams.
Vagelis Hristidis, Oscar Valdivia, Michail Vlachos, S Yu Philip
SIAM International Conference on Data Mining, 2007

Computing Correlation Anomaly Scores using Stochastic Nearest Neighbors
\bf Tsuyoshi Id\'e, Spiros Papadimitriou, Michail Vlachos
Proceedings of the Seventh IEEE International Conference on Data Mining (ICDM 07), pp. 523-528, 2007


2006

Slide: Streaming and Load-Adaptive Periodicity Estimation.
Deepak S Turaga, Michail Vlachos, Spiros Papadimitriou, S Yu Philip
ICASSP (3), pp. 1000--1003, 2006

Resource adaptive periodicity estimation of streaming data
Michail Vlachos, Deepak S Turaga, S Yu Philip
Advances in Database Technology-EDBT 2006, pp. 23--40, Springer

RIVA: indexing and visualization of high-dimensional data via dimension reorderings
Michail Vlachos, Spiros Papadimitriou, Zografoula Vagena, S Yu Philip
Knowledge Discovery in Databases: PKDD 2006, pp. 407--420, Springer

Slide: Streaming and Load-Adaptive Periodicity Estimation
Deepak S Turaga, Michail Vlachos, Spiros Papadimitriou, Philip S Yu
Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, 2006

Finding "Who Is Talking to Whom" in VoIP Networks via Progressive Stream Clustering
Olivier Verscheure, Michail Vlachos, Aris Anagnostopoulos, Pascal Frossard, Eric Bouillet, Philip S Yu
6th International Conference on Data Mining "ICDM'06", pp. 667-677, IEEE Computer Society, 2006

Structural Periodic Measures for Time-Series Data
M Vlachos, PS Yu, V Castelli, C Meek
Data Mining and Knowledge Discovery 12(1), 1-28, Springer, 2006

Global distance-based segmentation of trajectories
Aris Anagnostopoulos, Michail Vlachos, Marios Hadjieleftheriou, Eamonn Keogh, Philip S Yu
12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 34-43, 2006

LB_Keogh supports exact indexing of shapes under rotation invariance with arbitrary representations and distance measures
Eamonn Keogh, Li Wei, Xiaopeng Xi, Sang-Hee Lee, Michail Vlachos
32nd International Conference on Very Large Data Bases, pp. 882-893, 2006

Efficient online state tracking using sensor networks
Maria Halkidi, Vana Kalogeraki, Dimitrios Gunopulos, Dimitris Papadopoulos, Demetrios Zeinalipour-Yazti, Michail Vlachos
7th International Conference on Mobile Data Management, pp. 24, 2006

Continuous keyword search on multiple text streams
Vagelis Hristidis, Oscar Valdivia, Michail Vlachos, Philip S Yu
Proceedings 15th ACM International Conference on Information and Knowledge Management, pp. 802-803, 2006

Indexing multidimensional time-series
Michail Vlachos, Marios Hadjieleftheriou, Dimitrios Gunopulos, Eamonn Keogh
The VLDB Journal—The International Journal on Very Large Data Bases 15(1), 1-20, Springer-Verlag New York, Inc., 2006


2005

Rotation invariant indexing of shapes and line drawings
Michail Vlachos, Zografoula Vagena, Philip S Yu, Vassilis Athitsos
Proceedings of the 14th ACM international conference on Information and knowledge management, pp. 131--138, 2005

A multi-metric index for euclidean and periodic matching
Michail Vlachos, Zografoula Vagena, Vittorio Castelli, S Yu Philip
Knowledge Discovery in Databases: PKDD 2005, pp. 355--367, Springer

Multi-Dimensional Trajectories for Similarity Queries
Michail Vlachos, Marios Hadjieleftheriou, Eamonn Keogh, Dimitrios Gunopulos
Spatial Databases, 107, 2005

Mining time series data
Chotirat Ann Ralanamahatana, Jessica Lin, Dimitrios Gunopulos, Eamonn Keogh, Michail Vlachos, Gautam Das
Data Mining and Knowledge Discovery Handbook, pp. 1069--1103, Springer, 2005

Fast burst correlation of financial data
Michail Vlachos, Kun-Lung Wu, Shyh-Kwei Chen, S Yu Philip
Knowledge Discovery in Databases: PKDD 2005, pp. 368--379, Springer

On periodicity detection and structural periodic similarity
Michail Vlachos, Philip Yu, Vittorio Castelli
SIAM International Conference on Data Mining, pp. 449--460, 2005

Elastic translation invariant matching of trajectories
Michail Vlachos, George Kollios, Dimitrios Gunopulos
Machine Learning 58(2-3), 301-334, Springer, 2005

The threshold join algorithm for top-k queries in distributed sensor networks
Demetrios Zeinalipour-Yazti, Zografoula Vagena, Dimitrios Gunopulos, Vana Kalogeraki, V Tsotras, Michail Vlachos, Nick Koudas, Divesh Srivastava
Proceedings 2nd International Workshop on Data Management for Sensor Networks, pp. 61-66, 2005


2004

Time-Decaying Representations of Streaming Time Series
Themistoklis Palpanas, Michail Vlachos, Eamonn Keogh, Dimitrios Gunopulos, Wagner Truppel
Proc. of 3rd Hellenic Conference on Artificial Intelligence, 2004

Online amnesic approximation of streaming time series
Themistoklis Palpanas, Michail Vlachos, Eamonn Keogh, Dimitrios Gunopulos, Wagner Truppel
Proceedings 20th International Conference on Data Engineering, pp. 339-349, 2004

Iterative incremental clustering of time series
Jessica Lin, Michail Vlachos, Eamonn Keogh, Dimitrios Gunopulos
Advances in Database Technology-EDBT 2004, pp. 106--122, Springer

Indexing time-series under conditions of noise
Michail Vlachos, Dimitrios Gunopulos, Gautam Das
Data mining in time series databases, 67, 2004

Rotation invariant distance measures for trajectories
Michail Vlachos, Dimitrios Gunopulos, Gautam Das
Proceedings 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 707-712, 2004

Identifying similarities, periodicities and bursts for online search queries
Michail Vlachos, Christopher Meek, Zografoula Vagena, Dimitrios Gunopulos
Proceedings ACM SIGMOD International Conference on Management of Data, pp. 131-142, 2004


2003

Indexing multi-dimensional time-series with support for multiple distance measures
Michail Vlachos, Marios Hadjieleftheriou, Dimitrios Gunopulos, Eamonn Keogh
Proceedings 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 216-225, 2003

Efficient approximation of optimization queries under parametric aggregation constraints
Sudipto Guha, Dimitrios Gunopoulos, Nick Koudas, Divesh Srivastava, Michail Vlachos
Proceedings 29th International Conference on Very Large Data Bases, pp. 778-789, 2003

A wavelet-based anytime algorithm for k-means clustering of time series
Michail Vlachos, Jessica Lin, Eamonn Keogh, Dimitrios Gunopulos
In Proc. Workshop on Clustering High Dimensionality Data and Its Applications, 2003


2002

Robust similarity measures for mobile object trajectories
Michail Vlachos, Dimitrios Gunopulos, George Kollios
Proceedings 13th International Workshop on Database and Expert Systems Applications, pp. 721-726, 2002

Non-linear dimensionality reduction techniques for classification and visualization
Michail Vlachos, Carlotta Domeniconi, Dimitrios Gunopulos, George Kollios, Nick Koudas
Proceedings 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 645-651, 2002

Discovering similar multidimensional trajectories
Michail Vlachos, George Kollios, Dimitrios Gunopulos
Proceedings 18th International Conference on Data Engineering, pp. 673-684, 2002