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  • PL 68 (Pietari Kalmin katu 5)

    00014

    Finland

20062019
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Publications 2006 2019

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2018

Finding Events in Temporal Networks: Segmentation Meets Densest-Subgraph Discovery

Rozenshtein, P., Bonchi, F., Gionis, A., Sozio, M. & Tatti, N., 1 Nov 2018, 2018 IEEE International Conference on Data Mining (ICDM). IEEE

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Reconstructing a cascade from temporal observations

Xiao, H., Rozenshtein, P., Tatti, N. & Gionis, A., 1 May 2018, Proceedings of the 2018 SIAM International Conference on Data Mining. Society for Industrial and Applied Mathematics Publications, p. 666-674 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

2017

Balancing information exposure in social networks

Garimella, K., Gionis, A., Parotsidis, N. & Tatti, N., 2017, ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 30 (NIPS 2017). Guyon, Luxburg, UV., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S. & Garnett, R. (eds.). NEURAL INFORMATION PROCESSING SYSTEMS (NIPS), 9 p. (Advances in Neural Information Processing Systems; vol. 30).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Community-aware network sparsification

Gionis, A., Rozenshtein, P., Tatti, N. & Terzi, E., 1 Jun 2017, Proceedings of the 2017 SIAM International Conference on Data Mining. Society for Industrial and Applied Mathematics Publications, p. 426-434 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Discovering bursts revisited: guaranteed optimization of the model parameters

Tatti, N., 1 Jun 2017, Proceedings of the 2017 SIAM International Conference on Data Mining. Society for Industrial and Applied Mathematics Publications, p. 831-839 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Inferring the Strength of Social Ties: A Community-Driven Approach

Rozenshtein, P., Tatti, N. & Gionis, A., 2017, KDD'17: PROCEEDINGS OF THE 23RD ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING. ASSOC COMPUTING MACHINERY, p. 1017-1025 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

The Network-Untangling Problem: From Interactions to Activity Timelines

Rozenshtein, P., Tatti, N. & Gionis, A., 2017, MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2017, PT I. Ceci, M., Hollmen, J., Todorovski, L., Vens, C. & Dzeroski, S. (eds.). Springer International Publishing AG, p. 701-716 16 p. (Lecture Notes in Artificial Intelligence; vol. 10534).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

2016

A combinatorial approach to role discovery

Arockiasamy, A., Gionis, A. & Tatti, N., 2016, 2016 IEEE 16TH INTERNATIONAL CONFERENCE ON DATA MINING (ICDM). Bonchi, F., DomingoFerrer, J., BaezaYates, R., Zhou, ZH. & Wu (eds.). IEEE, p. 787-792 6 p. (IEEE International Conference on Data Mining).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

2015

Density-friendly Graph Decomposition

Tatti, N. & Gionis, A., 2015, Proceedings of the 24th International Conference on World Wide Web - WWW'15. ACM Press, p. 1089–1099

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Hierarchies in directed networks

Tatti, N., 2015, 2015 IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM). Aggarwal, C., Zhou, ZH., Tuzhilin, A., Xiong, H. & Wu (eds.). IEEE, p. 991-996 6 p. (IEEE International Conference on Data Mining).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Maintaining Sliding-Window Neighborhood Profiles in Interaction Networks

Kumar, R., Calders, T., Gionis, A. & Tatti, N., 2015, MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2015, PT II. Appice, A., Rodrigues, PP., Costa, VS., Gama, J., Jorge, A. & Soares, C. (eds.). Springer-Verlag, p. 719-735 17 p. (Lecture Notes in Artificial Intelligence; vol. 9285).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

2014

Discovering Dynamic Communities in Interaction Networks

Rozenshtein, P., Tatti, N. & Gionis, A., 2014, Machine Learning and Knowledge Discovery in Databases. Springer-Verlag, p. 678-693 16 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Event detection in activity networks

Rozenshtein, P., Anagnostopoulos, A., Gionis, A. & Tatti, N., 2014, Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD'14. ACM Press

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Faster Way to Agony: Discovering hierarchies in directed graphs

Tatti, N., 2014, Proceedings of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD 2014). Springer-Verlag, p. 163-178 16 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

2013

Discovering Nested Communities

Tatti, N. & Gionis, A., 2013, Proceedings of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD 2013). Springer-Verlag, p. 32-47 16 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Itemsets for Real-valued Datasets

Tatti, N., 2013, 2013 IEEE 13TH INTERNATIONAL CONFERENCE ON DATA MINING (ICDM). Xiong, H., Karypis, G., Thuraisingham, B., Cook, D. & Wu (eds.). IEEE, p. 717-726 10 p. (IEEE International Conference on Data Mining).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Mining Connection Pathways for Marked Nodes in Large Graphs

Akoglu, L., Vreeken, J., Tong, H., Chau, D. H., Tatti, N. & Faloutsos, C., 1 May 2013, Proceedings of the 2013 SIAM International Conference on Data Mining. Society for Industrial and Applied Mathematics Publications, p. 37-45 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

2012

Discovering Descriptive Tile Trees by Mining Optimal Geometric Subtiles

Tatti, N. & Vreeken, J., 2012, Machine Learning and Knowledge Discovery in Databases. Springer-Verlag, p. 9-24 16 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

The long and the short of it: Summarising Event Sequences with Serial Episodes

Tatti, N. & Vreeken, J., 2012, Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD'12. ACM Press, p. 462–470 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Where do I start? Algorithmic Strategies to Guide Intelligence Analysts

Wu, H., Mampaey, M., Tatti, N., Vreeken, J., Hossain, M. S. & Ramakrishnan, N., 2012, Proceedings of the ACM SIGKDD Workshop on Intelligence and Security Informatics - ISI-KDD'12. ACM Press

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

2011

Are your Items in Order?

Tatti, N., 1 Apr 2011, Proceedings of the 2011 SIAM International Conference on Data Mining. Society for Industrial and Applied Mathematics Publications, p. 414-425 12 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Comparing Apples and Oranges - Measuring Differences between Data Mining Results

Tatti, N. & Vreeken, J., 2011, MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, PT III. Gunopulos, D., Hofmann, T., Malerba, D. & Vazirgiannis, M. (eds.). Springer-Verlag, p. 398-413 16 p. (Lecture Notes in Artificial Intelligence; vol. 6913).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Finding Robust Itemsets under Subsampling

Tatti, N. & Moerchen, F., 1 Dec 2011, 2011 IEEE 11th International Conference on Data Mining. IEEE, p. 705-714

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Mining closed episodes with simultaneous events

Tatti, N. & Cule, B., 2011, Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD'11. ACM Press, p. 1172-1180 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Tell me what i need to know: succinctly summarizing data with itemsets

Mampaey, M., Tatti, N. & Vreeken, J., 2011, Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD'11. ACM Press, p. 573-581 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

2010

Probably the best itemsets

Tatti, N., 2010, Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD'10. ACM Press

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

2009

Significance of Episodes Based on Minimal Windows

Tatti, N., 2009, 2009 9TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING. Wang, W., Kargupta, H., Ranka, S., Yu, PS. & Wu, XD. (eds.). IEEE, p. 513-522 10 p. (IEEE International Conference on Data Mining).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Tell Me Something I Don't Know: Randomization Strategies for Iterative Data Mining

Hanhijarvi, S., Ojala, M., Vuokko, N., Puolamäki, K., Tatti, N. & Mannila, H., 2009, Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining . New York: ASSOC COMPUTING MACHINERY, p. 379-387 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

2008

Decomposable Families of Itemsets

Tatti, N. & Heikinheimo, H., 2008, MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, PART II, PROCEEDINGS. Daelemans, W., Goethals, B. & Morik, K. (eds.). Springer-Verlag, p. 472-487 16 p. (LECTURE NOTES IN ARTIFICIAL INTELLIGENCE; vol. 5212).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Finding Good Itemsets by Packing Data

Tatti, N. & Vreeken, J., 2008, ICDM 2008: EIGHTH IEEE INTERNATIONAL CONFERENCE ON DATA MINING, PROCEEDINGS. Gunopulos, D., Turini, F., Zaniolo, C., Ramakrishnan, N. & Wu, XD. (eds.). IEEE Computer Society, p. 588-597 10 p. (IEEE International Conference on Data Mining).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

2007

Maximum entropy based significance of itemsets

Tatti, N., 2007, ICDM 2007: PROCEEDINGS OF THE SEVENTH IEEE INTERNATIONAL CONFERENCE ON DATA MINING. Ramakrishnan, N., Zaiane, OR., Shi, Y., Clifton, CW. & Wu, XD. (eds.). IEEE Computer Society, p. 312-321 10 p. (IEEE International Conference on Data Mining).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

2006

What is the dimension of your binary data?

Tatti, N., Mielikäinen, T., Gionis, A. & Mannila, H., 2006, Sixth International Conference on Data Mining (ICDM'06). IEEE, p. 603-612 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review