Jilles Vreeken
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- Publications
- Influence
Krimp: mining itemsets that compress
- Jilles Vreeken, M. V. Leeuwen, A. Siebes
- Computer Science
- Data Mining and Knowledge Discovery
- 1 July 2011
One of the major problems in pattern mining is the explosion of the number of results. Tight constraints reveal only common knowledge, while loose constraints lead to an explosion in the number of… Expand
Fast and reliable anomaly detection in categorical data
- Leman Akoglu, Hanghang Tong, Jilles Vreeken, C. Faloutsos
- Computer Science
- CIKM '12
- 29 October 2012
Spotting anomalies in large multi-dimensional databases is a crucial task with many applications in finance, health care, security, etc. We introduce COMPREX, a new approach for identifying anomalies… Expand
The long and the short of it: summarising event sequences with serial episodes
- Nikolaj Tatti, J. Vreeken
- Computer Science
- KDD
- 12 August 2012
An ideal outcome of pattern mining is a small set of informative patterns, containing no redundancy or noise, that identifies the key structure of the data at hand. Standard frequent pattern miners… Expand
The Odd One Out: Identifying and Characterising Anomalies
- Koen Smets, J. Vreeken
- Computer Science
- SDM
- 2011
In many situations there exists an abundance of positive examples, but only a handful of negatives. In this paper we show how in binary or transaction data such rare cases can be identified and… Expand
Spotting Culprits in Epidemics: How Many and Which Ones?
- B. Prakash, Jilles Vreeken, C. Faloutsos
- Computer Science
- IEEE 12th International Conference on Data Mining
- 10 December 2012
Given a snapshot of a large graph, in which an infection has been spreading for some time, can we identify those nodes from which the infection started to spread? In other words, can we reliably tell… Expand
Item Sets that Compress
- A. Siebes, Jilles Vreeken, M. V. Leeuwen
- Computer Science
- SDM
- 2006
One of the major problems in frequent item set mining is the explosion of the number of results: it is difficult to find the most interesting frequent item sets. The cause of this explosion is that… Expand
Spiking neural networks, an introduction
- Jilles Vreeken
- Computer Science
- 2003
Biological neurons use short and sudden increases in voltage to send information. These signals are more commonly known as action potentials, spikes or pulses. Recent neurological research has shown… Expand
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- PDF
Model order selection for boolean matrix factorization
- P. Miettinen, Jilles Vreeken
- Computer Science
- KDD
- 21 August 2011
Matrix factorizations---where a given data matrix is approximated by a product of two or more factor matrices---are powerful data mining tools. Among other tasks, matrix factorizations are often used… Expand
VOG: Summarizing and Understanding Large Graphs
- Danai Koutra, U. Kang, Jilles Vreeken, C. Faloutsos
- Computer Science, Physics
- SDM
- 24 April 2014
How can we succinctly describe a million-node graph with a few simple sentences? How can we measure the "importance" of a set of discovered subgraphs in a large graph? These are exactly the problems… Expand
Tell me what i need to know: succinctly summarizing data with itemsets
- M. Mampaey, Nikolaj Tatti, J. Vreeken
- Computer Science
- KDD
- 21 August 2011
Data analysis is an inherently iterative process. That is, what we know about the data greatly determines our expectations, and hence, what result we would find the most interesting. With this in… Expand