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» The Theory of Probabilistic Databases
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ICML
2007
IEEE
16 years 5 months ago
On learning with dissimilarity functions
We study the problem of learning a classification task in which only a dissimilarity function of the objects is accessible. That is, data are not represented by feature vectors bu...
Liwei Wang, Cheng Yang, Jufu Feng
WWW
2007
ACM
16 years 4 months ago
Mining contiguous sequential patterns from web logs
Finding Contiguous Sequential Patterns (CSP) is an important problem in Web usage mining. In this paper we propose a new data structure, UpDown Tree, for CSP mining. An UpDown Tre...
Jinlin Chen, Terry Cook
KDD
2006
ACM
123views Data Mining» more  KDD 2006»
16 years 4 months ago
Mining rank-correlated sets of numerical attributes
We study the mining of interesting patterns in the presence of numerical attributes. Instead of the usual discretization methods, we propose the use of rank based measures to scor...
Toon Calders, Bart Goethals, Szymon Jaroszewicz
CADE
2007
Springer
16 years 4 months ago
An Incremental Technique for Automata-Based Decision Procedures
Abstract. Automata-based decision procedures commonly achieve optimal complexity bounds. However, in practice, they are often outperformed by sub-optimal (but more local-search bas...
David Toman, Gulay Ünel
STACS
2009
Springer
15 years 11 months ago
Enumerating Homomorphisms
The homomorphism problem for relational structures is an abstract way of formulating constraint satisfaction problems (CSP) and various problems in database theory. The decision ve...
Andrei A. Bulatov, Víctor Dalmau, Martin Gr...