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Research Output 2004 2019

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Article in proceedings
2019

Subspace Determination Through Local Intrinsic Dimensional Decomposition

Becker, R., Hafnaoui, I., Houle, M. E., Li, P. & Zimek, A., 2019, Similarity Search and Applications - 12th International Conference, SISAP 2019, Newark, NJ, USA, October 2-4, 2019, Proceedings. Amato, G., Gennaro, C., Oria, V. & Radovanovic, M. (eds.). Springer, p. 281-289 (Lecture Notes in Computer Science, Vol. 11807).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

2018

An Unsupervised Boosting Strategy for Outlier Detection Ensembles

Campos, G. O., Zimek, A. & Meira Jr., W., 2018, Advances in Knowledge Discovery and Data Mining: Proceedings, Part I. Phung, D., S. Tseng, V., I. Webb, G., Ho, B., Ganji, M. & Rashidi, L. (eds.). Springer, Vol. 10937. p. 564-576 (Lecture Notes in Computer Science, Vol. 10937). (Lecture Notes in Artificial Intelligence, Vol. 10937).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

outlier
detection
method

A unified framework of density-based clustering for semi-supervised classification

Gertrudes, J. C., Zimek, A., Sander, J. & Campello, R. J. G. B., 9. Jul 2018, Proceedings of the 30th International Conference on Scientific and Statistical Database Management: SSDBM '18. Bohlen, M., Gamper, J., Kroger, P. & Sacharidis, D. (eds.). Association for Computing Machinery, 12 p. 11

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Acoustic waves
Big data
29 Downloads (Pure)

On the Correlation Between Local Intrinsic Dimensionality and Outlierness

Houle, M. E., Schubert, E. & Zimek, A., 2018, Similarity Search and Applications - 11th International Conference, SISAP 2018, Proceedings. Marchand-Maillet, S., Silva, Y. N. & Chávez, E. (eds.). Springer VS, p. 177-191 (Lecture Notes in Computer Science, Vol. 11223).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Open Access
File
data mining
outlier
method
detection

Outlier detection based on low density models

Iglesias Vazquez, F., Zseby, T. & Zimek, A., 2018, Proceedings of the 18th IEEE International Conference on Data Mining Workshops, ICDMW 2018. Yu, J., Li, Z., Tong, H. & Zhu, F. (eds.). IEEE Press, p. 970-979 8637447. (IEEE International Conference on Data Mining Workshops, ICDMW, Vol. 2018-November).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Learning algorithms
Testing
Costs
Big data

Outlier Detection in Graphs: On the Impact of Multiple Graph Models

Campos, G. O., Meira Jr., W. & Zimek, A., 25. Jun 2018, Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics: WIMS 2018. Badica, C., Akerkar, R., Ivanovic, M., Savic, M., Radovanovic, M., Kim, S-W., Rosati, R. & Manolopoulos, Y. (eds.). Association for Computing Machinery, 12 p. 21

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Outlier Detection in Urban Traffic Data

Djenouri, Y. & Zimek, A., 25. Jun 2018, Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics, WIMS 2018. Badica, C., Akerkar, R., Ivanovic, M., Savic, M., Radovanovic, M., Kim, S-W., Rosati, R. & Manolopoulos, Y. (eds.). Association for Computing Machinery, 12 p. 3

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearch

Statistical Models
123 Downloads (Pure)

Outlier Detection in Urban Traffic Flow Distributions

Djenouri, Y., Zimek, A. & Chiarandini, M., 31. Dec 2018, 2018 IEEE International Conference on Data Mining. IEEE, p. 935-940

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Open Access
File
Probability distributions
Railroad cars
Sensors
2017

Good and Bad Neighborhood Approximations for Outlier Detection Ensembles

Kirner, E., Schubert, E. & Zimek, A., 2017, Proceedings of the 10th International Conference on Similarity Search and Applications. Beecks, C., Borutta, F., Kröger, P. & Seidl, T. (eds.). Cham: Springer, p. 173-187 (Lecture Notes in Computer Science, Vol. 10609).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

outlier
detection method
detection
filter

Redundancies in Data and their Effect on the Evaluation of Recommendation Systems: A Case Study on the Amazon Reviews Datasets

Basaran, D., Ntoutsi, E. & Zimek, A., 2017, Proceedings of the 2017 SIAM International Conference on Data Mining. Society for Industrial and Applied Mathematics, Vol. 17. p. 390-398 (SIAM Data Mining).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

data quality
effect
evaluation
recommendation
method
2016

On the Evaluation of Outlier Detection and One-Class Classification Methods

Swersky, L., Marques, H. O., Sander, J., Campello, R. J. G. B. & Zimek, A., 2016, 3rd IEEE International Conference on Data Science and Advanced Analytics : DSAA 2016 . Bilof, R. (ed.). IEEE Press, Vol. 2016. p. 1-10

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Experiments
2014

Active learning strategies for semi-supervised DBSCAN

Li, J., Sander, J., Campello, R. & Zimek, A., 2014, Advances in Artificial Intelligence: Proceedings of the 27th Canadian Conference on Artificial Intelligence. Sokolova, M. & van Beek, P. (eds.). Springer VS, p. 179-190 (Lecture Notes in Computer Science, Vol. 8436).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Labels
Clustering algorithms
Costs
Experiments
Problem-Based Learning

Data perturbation for outlier detection ensembles

Zimek, A., Campello, R. J. G. B. & Sander, J., 2014, Proceedings of the 26th International Conference on Scientific and Statistical Database Management. Association for Computing Machinery, 12 p. 13

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

outlier
perturbation
learning
data mining
ranking

Density-based clustering validation

Moulavi, D., Jaskowiak, P. A., Campello, R. J. G. B., Zimek, A. & Sander, J., 2014, Proceedings of the 2014 SIAM International Conference on Data Mining. Zaki, M., Obradovic, Z., Ning-Tan, P., Banerjee, A., Kamath, C. & Parthasarathy, S. (eds.). Society for Industrial and Applied Mathematics Publications, p. 839-847

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Open Access
Clustering algorithms
Probability density function
Experiments

Discriminative features for identifying and interpreting outliers

Dang, X. H., Assent, I., Ng, R. T., Zimek, A. & Schubert, E., 14. May 2014, Proceedings of the 2014 IEEE 30th International Conference on Data Engineering. IEEE, p. 88-99 (Proceedings of the International Conference on Data Engineering).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Graph theory

Generalized outlier detection with flexible kernel density estimates

Schubert, E., Zimek, A. & Kriegel, H. P., 2014, Proceedings of the 2014 SIAM International Conference on Data Mining. Zaki, M., Obradovic, Z., Ning-Tan, P., Banerjee, A., Kamath, C. & Parthasarathy, S. (eds.). Society for Industrial and Applied Mathematics Publications, p. 542-550

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Open Access
Scalability
2 Downloads (Pure)

Model selection for semi-supervised clustering

Pourrajabi, M., Zimek, A., Moulavi, D., Sander, J., Campello, R. J. G. B. & Goebel, R., 2014, Advances in Database Technology - EDBT 2014: Proc. 17th International Conference on Extending Database Technology. Leroy, V., Christophides, V., Christophides, V., Idreos, S., Kementsietsidis, A., Garofalakis, M. & Amer-Yahia, S. (eds.). OpenProceedings, p. 331-342

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Open Access
File
Labels
Acoustic waves

Representative clustering of uncertain data

Züfle, A., Emrich, T., Schmid, K. A., Mamoulis, N., Zimek, A. & Renz, M., 24. Aug 2014, Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 243-252

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Clustering algorithms
Semantics
Uncertainty
2013

Geodetic distance queries on R-trees for indexing geographic data

Schubert, E., Zimek, A. & Kriegel, H. P., 13. Aug 2013, Advances in Spatial and Temporal Databases - 13th International Symposium, SSTD 2013, Proceedings. Nascimento, M. A. (ed.). Springer, p. 146-164 (Lecture Notes in Computer Science, Vol. 8098).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Mobile phones
Global positioning system

Interactive data mining with 3D-parallel-coordinate-trees

Achtert, E., Kriegel, H. P., Schubert, E. & Zimek, A., 29. Jul 2013, Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data. Association for Computing Machinery, p. 1009-1012

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Data mining
Visualization

Subsampling for efficient and effective unsupervised outlier detection ensembles

Zimek, A., Gaudet, M., Campello, R. J. G. B. & Sander, J., 11. Aug 2013, Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Ghani, R., Senator, T. E., Bradley, P., Parekh, R. & He, J. (eds.). Association for Computing Machinery, p. 428-436

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

detectors
data mining
learning
2012

Density-based projected clustering over high dimensional data streams

Ntoutsi, I., Zimek, A., Palpanas, T., Kröger, P. & Kriegel, H. P., Dec 2012, Proceedings of the 12th SIAM International Conference on Data Mining, SDM 2012. Ghosh, J., Liu, H., Davidson, I., Domeniconi, C. & Kamath, C. (eds.). Society for Industrial and Applied Mathematics, p. 987-998

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Open Access
Clustering algorithms
Aging of materials
Monitoring

Evaluation of clusterings - Metrics and visual support

Achtert, E., Goldhofer, S., Kriegel, H. P., Schubert, E. & Zimek, A., 30. Jul 2012, Proceedings of the 2012 IEEE 28th International Conference on Data Engineering. IEEE, p. 1285-1288 (Proceedings - International Conference on Data Engineering).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

On evaluation of outlier rankings and outlier scores

Schubert, E., Wojdanowski, R., Zimek, A. & Kriegel, H. P., Dec 2012, Proceedings of the 12th SIAM International Conference on Data Mining. Ghosh, J., Liu, H., Davidson, I., Domeniconi, C. & Kamath, C. (eds.). p. 1047-1058

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Open Access
Redundancy

Outlier detection in arbitrarily oriented subspaces

Kriegel, H. P., Kröger, P., Schubert, E. & Zimek, A., Dec 2012, Proceedings of the 12th IEEE International Conference on Data Mining, ICDM 2012. IEEE, p. 379-388

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Experiments
2011

Density based subspace clustering over dynamic data

Kriegel, H. P., Kröger, P., Ntoutsi, I. & Zimek, A., 11. Aug 2011, Scientific and Statistical Database Management - 23rd International Conference, SSDBM 2011, Proceedings. Pfoser, D. (ed.). Springer, p. 387-404 (Lecture Notes in Computer Science, Vol. 6849).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Clustering algorithms

Interpreting and unifying outlier scores

Kriegel, H. P., Kröger, P., Schubert, E. & Zimek, A., Dec 2011, Proceedings of the 11th SIAM International Conference on Data Mining, SDM 2011. Liu, B., Liu, H., Clifton, C., Washio, T. & Kamath, C. (eds.). Society for Industrial and Applied Mathematics, p. 13-24

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Open Access

Quality of similarity rankings in time series

Bernecker, T., Houle, M. E., Kriegel, H. P., Kröger, P., Renz, M., Schubert, E. & Zimek, A., 19. Sep 2011, Advances in Spatial and Temporal Databases - 12th International Symposium, SSTD 2011, Proceedings. Pfoser, D. (ed.). Springer, p. 422-440 (Lecture Notes in Computer Science, Vol. 6849).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Time series

Spatial outlier detection: Data, algorithms, visualizations

Achtert, E., Hettab, A., Kriegel, H. P., Schubert, E. & Zimek, A., 19. Sep 2011, Advances in Spatial and Temporal Databases - 12th International Symposium, SSTD 2011, Proceedings. Pfoser, D. (ed.). Springer, p. 512-516 (Lecture Notes in Computer Science, Vol. 6849).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

data mining
outlier
visualization
information system
information management
2010

Can shared-neighbor distances defeat the curse of dimensionality?

Houle, M. E., Kriegel, H. P., Kröger, P., Schubert, E. & Zimek, A., 3. Aug 2010, Scientific and Statistical Database Management - 22nd International Conference, SSDBM 2010, Proceedings. Gertz, M. & Ludäscher, B. (eds.). Springer, p. 482-500 (Lecture Notes in Computer Science, Vol. 6187).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Data mining

Similarity search in time series of dynamical model-based systems

Kawagoe, K., Bernecker, T., Kriegel, H. P., Renz, M., Zimek, A. & Züfle, A., 24. Nov 2010, Proceedings of the 21st International Workshop on Database and Expert Systems Applications, DEXA 2010. IEEE, p. 110-114

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Time series
Bioinformatics
Processing

Subspace similarity search: Efficient k-NN queries in arbitrary subspaces

Bernecker, T., Emrich, T., Graf, F., Kriegel, H. P., Kröger, P., Renz, M., Schubert, E. & Zimek, A., 3. Aug 2010, Scientific and Statistical Database Management - 22nd International Conference, SSDBM 2010, Proceedings. Springer, p. 555-564 (Lecture Notes in Computer Science, Vol. 6187).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Subspace similarity search using the ideas of ranking and top-k retrieval

Bernecker, T., Emrich, T., Graf, F., Kriegel, H. P., Kröger, P., Renz, M., Schubert, E. & Zimek, A., 28. May 2010, ICDE Workshops 2010 - The 2010 IEEE 26th International Conference on Data Engineering Workshops. IEEE, p. 4-9

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Towards subspace clustering on dynamic data: An incremental version of PreDeCon

Kriegel, H. P., Kröger, P., Ntoutsi, I. & Zimek, A., 25. Jul 2010, Proceedings of the 1st International Workshop on Novel Data Stream Pattern Mining Techniques, StreamKDD'10, Held in Conjunction with the 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 31-38

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Clustering algorithms

Visual evaluation of outlier detection models

Achtert, E., Kriegel, H. P., Reichert, L., Schubert, E., Wojdanowski, R. & Zimek, A., 28. Dec 2010, Database Systems for Advanced Applications - 15th International Conference, DASFAA 2010, Proceedings. Kitagawa, H., Ishikawa, Y., Li, Q. & Watanabe, C. (eds.). PART 2 ed. Springer, p. 396-399 (Lecture Notes in Computer Science, Vol. 5982).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Visualization
2009

ELKI in time: ELKI 0.2 for the performance evaluation of distance measures for time series

Achtert, E., Bernecker, T., Kriegel, H. P., Schubert, E. & Zimek, A., 2. Nov 2009, Advances in Spatial and Temporal Databases - 11th International Symposium, SSTD 2009, Proceedings. Mamoulis, N., Seidl, T., Pedersen, T. B., Torp, K. & Assent, I. (eds.). Springer, p. 436-440 (Lecture Notes in Computer Science, Vol. 5644).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Time series
Visualization

LoOP: Local outlier probabilities

Kriegel, H. P., Kröger, P., Schubert, E. & Zimek, A., Dec 2009, Proceedings of the 18th ACM conference on Information and knowledge management. Association for Computing Machinery, p. 1649-1652

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Outlier detection in axis-parallel subspaces of high dimensional data

Kriegel, H. P., Kr̈oger, P., Schubert, E. & Zimek, A., 23. Jul 2009, 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009. Theeramunkong, T., Kijsirikul, B., Cercone, N. & Ho, TB. (eds.). Springer, p. 831-838 (Lecture Notes in Computer Science, Vol. 5476).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Experiments
2008

A general framework for increasing the robustness of PCA-based correlation clustering algorithms

Kriegel, H. P., Kröger, P., Schubert, E. & Zimek, A., 14. Aug 2008, Scientific and Statistical Database Management - 20th International Conference, SSDBM 2008, Proceedings. Ludäscher, B. & Mamoulis, N. (eds.). Springer, p. 418-435 (Lecture Notes in Computer Science, Vol. 5069).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Clustering algorithms
Principal component analysis

Angle-based outlier detection in high-dimensional data

Kriegel, H. P., Schubert, M. & Zimek, A., Dec 2008, Proceedings of the 14th ACMKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 444-452

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Data mining

ELKI: A software system for evaluation of subspace clustering algorithms

Achtert, E., Kriegel, H. P. & Zimek, A., 14. Aug 2008, Scientific and Statistical Database Management - 20th International Conference, SSDBM 2008, Proceedings. Ludäscher, B. & Mamoulis, N. (eds.). Springer, p. 580-585 (Lecture Notes in Computer Science, Vol. 5069).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Clustering algorithms
Data mining

Robust clustering in arbitrarily oriented subspaces

Achtert, E., Böhm, C., David, J., Kröger, P. & Zimek, A., Oct 2008, Society for Industrial and Applied Mathematics - 8th SIAM International Conference on Data Mining 2008, Proceedings in Applied Mathematics 130. Apte, C., Park, H., Wang, K. & Zaki, M. J. (eds.). Society for Industrial and Applied Mathematics, Vol. 2. p. 763-774 (S I A M Proceedings in Applied Mathematics, Vol. 130).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Open Access
Clustering algorithms
Object-oriented databases

Supervised ensembles of prediction methods for subcellular localization

Aßfalg, J., Gong, J., Kriegel, H. P., Pryakhin, A., Wei, T. & Zimek, A., Dec 2008, Proceedings of 6th Asia-Pacific Bioinformatics Conference. p. 29-38 (Series on Advances in Bioinformatics and Computational Biology, Vol. 6).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Proteins
2007

Detection and visualization of subspace cluster hierarchies

Achtert, E., Böhm, C., Kriegel, H. P., Kröger, P., Müller-Gorman, I. & Zimek, A., Dec 2007, Advances in Databases: Concepts, Systems and Applications: 12th International Conference on Database Systems for Advanced Applications, DASFAA 2007, Proceedings. Kotagiri, R., Krishna, P. R., Mohania, M. & Nantajeewarawat, E. (eds.). Springer, p. 152-163 (Lecture Notes in Computer Science, Vol. 4443).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Visualization
Experiments

On exploring complex relationships of correlation clusters

Achtert, E., Böhm, C., Kriegel, H. P., Kröger, P. & Zimek, A., 23. Jul 2007, Proceedings of the 19th International Conference on Scientific and Statistical Database Management, SSDBM 2007. IEEE, 10 p.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Robust, complete, and efficient correlation clustering

Achtert, E., Böhm, C., Kriegel, H. P., Kröger, P. & Zimek, A., Dec 2007, Proceedings of the 7th SIAM International Conference on Data Mining. Apte, C., Skillicorn, D., Liu, B. & Parthasarathy, S. (eds.). Society for Industrial and Applied Mathematics, p. 413-418

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Open Access
Clustering algorithms
Scalability
2006

COSMIC: Conceptually specified multi-instance clusters

Kriegel, H. P., Pryakhin, A., Schubert, M. & Zimek, A., Dec 2006, Proceedings - Sixth International Conference on Data Mining, ICDM 2006. IEEE, p. 917-921

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Deriving quantitative models for correlation clusters

Achtert, E., Böhm, C., Kriegel, H. P., Kröger, P. & Zimek, A., 20. Aug 2006, KDD 2006: Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 4-13

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Clustering algorithms
Probability distributions
Pipelines
Processing

Finding hierarchies of subspace clusters

Achtert, E., Böhm, C., Kriegel, H. P., Kröger, P., Müller-Gorman, I. & Zimek, A., 2006, Knowledge Discovery in Databases: PKDD 2006 - 10th European Conference on Principles and Practice of Knowledge Discovery in Databases, Proceedings. Fürnkranz, J., Scheffer, T. & Spiliopoulou, M. (eds.). Springer, p. 446-453 (Lecture Notes in Computer Science, Vol. 4213).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Clustering algorithms
Experiments

Mining hierarchies of correlation clusters

Achtert, E., Böhm, C., Kröger, P. & Zimek, A., Dec 2006, Proceedings - 18th International Conference on Scientific and Statistical Database Management, SSDBM 2006. IEEE, p. 119-128

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Data mining
Experiments