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» Finding low-entropy sets and trees from binary data
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KDD
2007
ACM
165views Data Mining» more  KDD 2007»
14 years 5 months ago
Finding low-entropy sets and trees from binary data
The discovery of subsets with special properties from binary data has been one of the key themes in pattern discovery. Pattern classes such as frequent itemsets stress the co-occu...
Eino Hinkkanen, Hannes Heikinheimo, Heikki Mannila...
CANDC
2005
ACM
13 years 4 months ago
Integer linear programming as a tool for constructing trees from quartet data
The task of the quartet puzzling problem is to find a best-fitting binary X-tree for a finite n-set from confidence values for the 3 n 4 binary trees with exactly four leaves from...
Jan Weyer-Menkhoff, Claudine Devauchelle, Alexande...
ALGORITHMICA
2010
95views more  ALGORITHMICA 2010»
13 years 4 months ago
Homogeneous String Segmentation using Trees and Weighted Independent Sets
We divide a string into k segments, each with only one sort of symbols, so as to minimize the total number of exceptions. Motivations come from machine learning and data mining. F...
Peter Damaschke
RSCTC
2000
Springer
143views Fuzzy Logic» more  RSCTC 2000»
13 years 8 months ago
On Efficient Construction of Decision Trees from Large Databases
The main task in decision tree construction algorithms is to find the "best partition" of the set of objects. In this paper, we investigate the problem of optimal binary ...
Hung Son Nguyen
SODA
2008
ACM
150views Algorithms» more  SODA 2008»
13 years 6 months ago
Finding an optimal tree searching strategy in linear time
We address the extension of the binary search technique from sorted arrays and totally ordered sets to trees and tree-like partially ordered sets. As in the sorted array case, the...
Shay Mozes, Krzysztof Onak, Oren Weimann