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KDD
2004
ACM
126views Data Mining» more  KDD 2004»
14 years 8 months ago
Dense itemsets
Frequent itemset mining has been the subject of a lot of work in data mining research ever since association rules were introduced. In this paper we address a problem with frequen...
Heikki Mannila, Jouni K. Seppänen
RECOMB
2002
Springer
14 years 8 months ago
Monotony of surprise and large-scale quest for unusual words
The problem of characterizing and detecting recurrent sequence patterns such as substrings or motifs and related associations or rules is variously pursued in order to compress da...
Alberto Apostolico, Mary Ellen Bock, Stefano Lonar...
CORR
2006
Springer
108views Education» more  CORR 2006»
13 years 7 months ago
Two polygraphic presentations of Petri nets
: This document gives an algebraic and two polygraphic translations of Petri nets, all three providing an easier way to describe reductions and to identify some of them. The first ...
Yves Guiraud
EOR
2007
165views more  EOR 2007»
13 years 7 months ago
Adaptive credit scoring with kernel learning methods
Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...
Yingxu Yang
ORL
1998
68views more  ORL 1998»
13 years 7 months ago
A fast bipartite network flow algorithm for selective assembly
Bipartite network flow problems naturally arise in applications such as selective assembly and preemptive scheduling. This paper presents fast algorithms for these problems that ...
Satoru Iwata, Tomomi Matsui, S. Thomas McCormick