Advances in Mining Binary Data: Itemsets are local patterns, representing frequently cooccurring sets of variables. This thesis studies the use of itemsets to give information about the whole dataset. We show how to use itemsets for answering queries, that is, finding out the number of transactions satisfying some given formula.
Publications To appear Tatti, Nikolaj. Data Mining Knowledge Discovery. Finding dynamic dense subgraphs. Top-k overlapping densest subgraphs.
Mining top-k sequential patterns under leverage. A combinatorial approach to role discovery. Ranking Episodes using a Partition Model. Maintaining sliding-window neighborhood profiles in interaction networks. Hierarchies in directed networks.
Finding Robust Itemsets under Subsampling. Statistical Analysis and Data Mining. Discovering Episodes with Compact Minimal Windows.
Data Mining and Knowledge Discovery. Event Detection in Activity Networks. Faster way to agony: Discovering hierarchies in directed graphs. Discovering Bands from Graphs. Overlapping community detection in labeled graphs. Discovering dynamic communities in interaction networks. Itemsets for Real-valued Datasets.
Mining Closed Strict Episodes. Transactions on Knowledge Discovery from Data. The Long and the Short of It: Summarising Event Sequences with Serial Episodes.
Shahriar and Ramakrishnan, Naren. Where Do I Start? Algorithmic Strategies to Guide Intelligence Analysts.
Are your items in order. Mining Closed Episodes with Simultaneous Events. Tell me what I need to know:K. Nay, an there were two such, we essay questions for romeo and juliet act 2 should have none shortly, for one would kill the other.
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39(3) Cule, Boris and Tatti, Nikolaj and Goethals, Bart. MARBLES: Mining Association Rules Buried in Long Event Sequences. In: Statistical Analysis and Data Mining.
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View Nikolaj Tatti’s profile on LinkedIn, the world's largest professional community. Nikolaj has 6 jobs listed on their vetconnexx.com: Senior data scientist at F-Secure.
From Data to Knowledge Research Unit Theoretical aspects of data mining Jaakko Hollm´en, Heikki Mannila, Jouni K.
Seppanen, Nikolaj Tatti Nowadays one often encounters high-dimensional data in practical applications. Thus methods and algorithms to analyse such . Polarization on Social Media, PhD Thesis, Kiran Garimella Studying Migrant Assimilation Through Facebook Interests (Short paper) SocInfo , Antoine Dubois, Emilio Zagheni, Kiran Garimella, Ingmar Weber (paper, poster).