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SSD
1997
Springer
140views Database» more  SSD 1997»
13 years 12 months ago
Spatial Data Mining: A Database Approach
Abstract. Knowledge discovery in databases (KDD) is an important task in spatial databases since both, the number and the size of such databases are rapidly growing. This paper int...
Martin Ester, Hans-Peter Kriegel, Jörg Sander
PRL
2010
205views more  PRL 2010»
13 years 2 months ago
Mining outliers with faster cutoff update and space utilization
It is desirable to find unusual data objects by Ramaswamy et al's distance-based outlier definition because only a metric distance function between two objects is required. It...
Chi-Cheong Szeto, Edward Hung
TCBB
2008
107views more  TCBB 2008»
13 years 7 months ago
Progressive Tree Neighborhood Applied to the Maximum Parsimony Problem
Abstract-- The Maximum Parsimony problem aims at reconstructing a phylogenetic tree from DNA sequences while minimizing the number of genetic transformations. To solve this NP-comp...
Adrien Goëffon, Jean-Michel Richer, Jin-Kao H...
IJAR
2010
113views more  IJAR 2010»
13 years 6 months ago
A geometric view on learning Bayesian network structures
We recall the basic idea of an algebraic approach to learning Bayesian network (BN) structures, namely to represent every BN structure by a certain (uniquely determined) vector, c...
Milan Studený, Jirí Vomlel, Raymond ...
ORL
2008
86views more  ORL 2008»
13 years 7 months ago
Searching the k-change neighborhood for TSP is W[1]-hard
We show that searching the k-change neighborhood is W[1]-hard for metric TSP, which means that finding the best tour in the k-change neighborhood essentially requires complete sea...
Dániel Marx