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KDD
2009
ACM
239views Data Mining» more  KDD 2009»
15 years 10 months ago
Tell me something I don't know: randomization strategies for iterative data mining
There is a wide variety of data mining methods available, and it is generally useful in exploratory data analysis to use many different methods for the same dataset. This, however...
Heikki Mannila, Kai Puolamäki, Markus Ojala, ...
KDD
2008
ACM
156views Data Mining» more  KDD 2008»
15 years 10 months ago
Can complex network metrics predict the behavior of NBA teams?
The United States National Basketball Association (NBA) is one of the most popular sports league in the world and is well known for moving a millionary betting market that uses th...
Antonio Alfredo Ferreira Loureiro, Pedro O. S. Vaz...
KDD
2008
ACM
193views Data Mining» more  KDD 2008»
15 years 10 months ago
A family of dissimilarity measures between nodes generalizing both the shortest-path and the commute-time distances
This work introduces a new family of link-based dissimilarity measures between nodes of a weighted directed graph. This measure, called the randomized shortest-path (RSP) dissimil...
Luh Yen, Marco Saerens, Amin Mantrach, Masashi Shi...
KDD
2004
ACM
196views Data Mining» more  KDD 2004»
15 years 10 months ago
Adversarial classification
Essentially all data mining algorithms assume that the datagenerating process is independent of the data miner's activities. However, in many domains, including spam detectio...
Nilesh N. Dalvi, Pedro Domingos, Mausam, Sumit K. ...
POPL
2007
ACM
15 years 10 months ago
Program verification as probabilistic inference
In this paper, we propose a new algorithm for proving the validity or invalidity of a pre/postcondition pair for a program. The algorithm is motivated by the success of the algori...
Sumit Gulwani, Nebojsa Jojic