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KDD
2006
ACM
143views Data Mining» more  KDD 2006»
14 years 8 months ago
Algorithms for discovering bucket orders from data
Ordering and ranking items of different types are important tasks in various applications, such as query processing and scientific data mining. A total order for the items can be ...
Aristides Gionis, Heikki Mannila, Kai Puolamä...
EVOW
2007
Springer
14 years 1 months ago
An Adaptive Global-Local Memetic Algorithm to Discover Resources in P2P Networks
This paper proposes a neural network based approach for solving the resource discovery problem in Peer to Peer (P2P) networks and an Adaptive Global Local Memetic Algorithm (AGLMA)...
Ferrante Neri, Niko Kotilainen, Mikko Vapa
GECCO
2004
Springer
134views Optimization» more  GECCO 2004»
14 years 1 months ago
A New Universal Cellular Automaton Discovered by Evolutionary Algorithms
In Twenty Problems in the Theory of Cellular Automata, Stephen Wolfram asks “how common computational universality and undecidability [are] in cellular automata.” This papers p...
Emmanuel Sapin, Olivier Bailleux, Jean-Jacques Cha...
KES
2004
Springer
14 years 1 months ago
FIT: A Fast Algorithm for Discovering Frequent Itemsets in Large Databases
Association rule mining is an important data mining problem that has been studied extensively. In this paper, a simple but Fast algorithm for Intersecting attribute lists using a ...
Jun Luo, Sanguthevar Rajasekaran
ISMB
1993
13 years 9 months ago
Discovering Sequence Similarity by the Algorithmic Significance Method
The minimal-length encoding approach is applied to define concept of sequence similarity. Asequence is defined to be similar to another sequence or to a set of keywords if it can ...
Aleksandar Milosavljevic