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Research Output 2004 2019

2019

A unified view of density-based methods for semi-supervised clustering and classification

Castro Gertrudes, J., Zimek, A., Sander, J. & Campello, R. J. G. B., Nov 2019, In : Data Mining and Knowledge Discovery. 33, 6, p. 1894-1952 59 p.

Research output: Contribution to journalJournal articleResearchpeer-review

Clustering algorithms
Supervised learning
Acoustic waves
Big data

ELKI: A large open-source library for data analysis: ELKI Release 0.7.5 "Heidelberg"

Schubert, E. & Zimek, A., 10. Feb 2019, In : arxiv.org. 134 p., abs/1902.03616.

Research output: Contribution to journalJournal articleResearch

Open Access
Data mining
Cluster analysis
Benchmarking
Scalability
Students
10 Downloads (Pure)

Establishing a many-cytokine signature via multivariate anomaly detection

Dingle, K., Zimek, A., Azizieh, F. & Ansari, A. R., 1. Dec 2019, In : Scientific Reports. 9, 1, 13 p., 9684.

Research output: Contribution to journalJournal articleResearchpeer-review

Open Access
File
Pregnancy Complications
Allergy and Immunology
Reference Values
Datasets

Evaluation and experimental design in data mining and machine learning: Motivation and summary of EDML 2019

Ntoutsi, E., Schubert, E., Zimek, A. & Zimmermann, A., 2019, In : CEUR Workshop Proceedings. 2436

Research output: Contribution to journalEditorialResearch

24 Downloads (Pure)

MDCGen: multidimensional dataset generator for clustering

Iglesias, F., Zseby, T., Ferreira, D. & Zimek, A., 23. Apr 2019, In : Journal of Classification. 20 p.

Research output: Contribution to journalJournal articleResearchpeer-review

Open Access
File
Testing
Benchmarking
Clustering algorithms
45 Downloads (Pure)

Outlier detection in graphs: A study on the impact of multiple graph models

Campos, G. O., Moreira, E., Meira, W. & Zimek, A., 2019, In : Computer Science and Information Systems. 16, 2, p. 565-595 31 p.

Research output: Contribution to journalJournal articleResearchpeer-review

Open Access
File

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

Decomposition
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
40 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
146 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
193 Downloads (Pure)

There and back again: Outlier detection between statistical reasoning and data mining algorithms

Zimek, A. & Filzmoser, P., 1. Nov 2018, In : Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. 8, 6, 26 p., e1280.

Research output: Contribution to journalReviewResearchpeer-review

Open Access
File
data mining
outlier
detection
method
2017
129 Downloads (Pure)

Dimensional testing for reverse k-nearest neighbor search

Casanova, G., Englmeier, E., Houle, M. E., Kröger, P., Nett, M., Schubert, E. & Zimek, A., 2017, In : Proceedings of the VLDB Endowment. 10, 7, p. 769-780

Research output: Contribution to journalConference articleResearchpeer-review

Open Access
File
Testing
Data mining
Scalability
Costs
Nearest neighbor search

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

Outlier Detection

Zimek, A. & Schubert, E., 2017, Encyclopedia of Database Systems. Liu, L. & Öszu, T. (eds.). Springer, 5 p.

Research output: Chapter in Book/Report/Conference proceedingEncyclopedia chapterResearchpeer-review

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

Subspace Clustering Techniques

Kröger, P. & Zimek, A., 2017, Encyclopedia of Database Systems. Liu, L. & Öszu, T. (eds.). 2. ed. Springer, 4 p.

Research output: Chapter in Book/Report/Conference proceedingEncyclopedia chapterResearchpeer-review

Cluster analysis

The (black) art of runtime evaluation: Are we comparing algorithms or implementations?

Kriegel, H-P., Schubert, E. & Zimek, A., 2017, In : Knowledge and Information Systems. 52, 2, p. 341–378 38 p.

Research output: Contribution to journalJournal articleResearchpeer-review

Experiments
Scalability
Big data
2016

MultiClust 2013: Multiple Clusterings, Multiview Data, and Multisource Knowledgedriven Clustering: [Workshop Report]

Assent, I., Domeniconi, C., Gullo, F., Tagarelli, A. & Zimek, A., 2016, In : S I G K D D Explorations. 18, 1, p. 35-38

Research output: Contribution to journalConference articleResearchpeer-review

On strategies for building effective ensembles of relative clustering validity criteria

Jaskowiak, P. A., Moulavi, D., Furtado, A. C. S., Campello, R. J. G. B., Zimek, A. & Sander, J., 2016, In : Knowledge and Information Systems. 47, 2, p. 329-354

Research output: Contribution to journalJournal articleResearchpeer-review

On the Evaluation of Outlier Detection: Measures, Datasets, and an Empirical Study Continued

Campos, G. O., Zimek, A., Sander, J., Campello, R. J. G. B., Micenková, B., Schubert, E., Assent, I. & Houle, M. E., 2016, Proceedings of the LWDA 2016 Workshops: KDML, FGWM, FGIR, and FGDB, Potsdam, Germany. p. 234 1 p.

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

Data mining

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

On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study

Campos, G. O., Zimek, A., Sander, J., Campello, R. J. G. B., Micenková, B., Schubert, E., Assent, I. & Houle, M. E., 2016, In : Data Mining and Knowledge Discovery. 30, 4, p. 891-927

Research output: Contribution to journalJournal articleResearchpeer-review

2015

A Framework for Clustering Uncertain Data

Schubert, E., Koos, A., Emrich, T., Züfle, A., Schmid, K. A. & Zimek, A., 2015, In : Proceedings of the VLDB Endowment. 8, 12, p. 1976-1979 4 p.

Research output: Contribution to journalJournal articleResearchpeer-review

Fast and Scalable Outlier Detection with Approximate Nearest Neighbor Ensembles

Schubert, E., Zimek, A. & Kriegel, H-P., 2015, Database Systems for Advanced Applications - 20th International Conference, DASFAA 2015, Hanoi, Vietnam, April 20-23, 2015, Proceedings, Part II. Renz, M., Shahabi, C., Zhou, X. & Cheema, M. A. (eds.). Springer, Vol. 9050. p. 19-36 18 p.

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

Hierarchical Density Estimates for Data Clustering, Visualization, and Outlier Detection

Campello, R. J. G. B., Moulavi, D., Zimek, A. & Sander, J., 2015, In : A C M Transactions on Knowledge Discovery from Data. 10, 1, p. 1-51 5.

Research output: Contribution to journalJournal articleResearchpeer-review

Intrinsic dimensional outlier detection in high-dimensional data

Von Brünken, J., Houle, M. E. & Zimek, A., Mar 2015, In : NII Technical Reports. 2015, 3, p. 1-12

Research output: Contribution to journalJournal articleResearch

Open Access
Outlier Detection
High-dimensional Data
Outlier
Continuous random variable
Density Estimation

On the internal evaluation of unsupervised outlier detection

Marques, H. O., Campello, R. J. G. B., Zimek, A. & Sander, J., 2015, Proceedings of the 27th International Conference on Scientific and Statistical Database Management, SSDBM '15, La Jolla, CA, USA, June 29 - July 1, 2015. Gupta, A. & Rathbun, S. L. (eds.). Association for Computing Machinery, p. 1-12 12 p. 7

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

Outlier Detection and Trend Detection: Two Sides of the Same Coin

Schubert, E., Weiler, M. & Zimek, A., 2015, IEEE International Conference on Data Mining Workshop, ICDMW 2015, Atlantic City, NJ, USA, November 14-17, 2015. IEEE Computer Society Press, p. 40-46 7 p.

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

The blind men and the elephant: on meeting the problem of multiple truths in data from clustering and pattern mining perspectives

Zimek, A. & Vreeken, J., Jan 2015, In : Machine Learning. 98, 1-2, p. 121-155

Research output: Contribution to journalJournal articleResearchpeer-review

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

Frequent pattern mining algorithms for data clustering

Zimek, A., Assent, I. & Vreeken, J., Jul 2014, Frequent Pattern Mining. Aggarwal, C. & Han, J. (eds.). Springer, p. 403-423

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

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

Local outlier detection reconsidered: A generalized view on locality with applications to spatial, video, and network outlier detection

Schubert, E., Zimek, A. & Kriegel, H. P., Jan 2014, In : Data Mining and Knowledge Discovery. 28, 1, p. 190-237

Research output: Contribution to journalJournal articleResearchpeer-review

Experiments
3 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

A framework for semi-supervised and unsupervised optimal extraction of clusters from hierarchies

Campello, R. J. G. B., Moulavi, D., Zimek, A. & Sander, J., Nov 2013, In : Data Mining and Knowledge Discovery. 27, 3, p. 344-371

Research output: Contribution to journalJournal articleResearchpeer-review

Experiments

A survey on enhanced subspace clustering

Sim, K., Gopalkrishnan, V., Zimek, A. & Cong, G., Mar 2013, In : Data Mining and Knowledge Discovery. 26, 2, p. 332-397

Research output: Contribution to journalReviewResearchpeer-review

Clustering algorithms

Clustering High-Dimensional Data

Zimek, A., 21. Aug 2013, Data Clustering: Algorithms and Applications. Aggarwal, C. C. & Reddy, C. K. (eds.). CRC Press, (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series).

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

Ensembles for unsupervised outlier detection: challenges and research questions a position paper

Zimek, A., Campello, R. J. G. B. & Sander, J., Jun 2013, In : S I G K D D Explorations. 15, 1, p. 11-22

Research output: Contribution to journalJournal articleResearchpeer-review

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

Preface

Assent, I., Domeniconi, C., Gullo, F., Tagarelli, A. & Zimek, A., 5. Sep 2013, MultiClust 2013 - 4th Workshop on Multiple Clusterings, Multi-View Data, and Multi-Source Knowledge-Driven Clustering, in Conj. with the 19th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining, KDD 2013. Association for Computing Machinery

Research output: Chapter in Book/Report/Conference proceedingPreface/postscriptCommunication

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