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PARA
2004
Springer
16 years 25 days ago
New Algorithms for Statistical Analysis of Interval Data
It is known that in general, statistical analysis of interval data is an NP-hard problem: even computing the variance of interval data is, in general, NP-hard. Until now, only one ...
Gang Xiang, Scott A. Starks, Vladik Kreinovich, Lu...
DCOSS
2005
Springer
15 years 9 months ago
An Adaptive Blind Algorithm for Energy Balanced Data Propagation in Wireless Sensors Networks
In this paper, we consider the problem of energy balanced data propagation in wireless sensor networks and we generalise previous works by allowing realistic energy assignment. A n...
Pierre Leone, Sotiris E. Nikoletseas, José ...
AIME
2005
Springer
15 years 9 months ago
An Algorithm to Learn Causal Relations Between Genes from Steady State Data: Simulation and Its Application to Melanoma Dataset
In recent years, a few researchers have challenged past dogma and suggested methods (such as the IC algorithm) for inferring causal relationship among variables using steady state ...
Xin Zhang, Chitta Baral, Seungchan Kim
KDD
1997
ACM
92views Data Mining» more  KDD 1997»
15 years 11 months ago
Increasing the Efficiency of Data Mining Algorithms with Breadth-First Marker Propagation
This paper describes how to increase the efficiency of inductive data mining algorithms by replacing the central matching operation with a marker propagation technique. Breadth-fi...
John M. Aronis, Foster J. Provost
AUSAI
2007
Springer
15 years 11 months ago
Building Classification Models from Microarray Data with Tree-Based Classification Algorithms
Building classification models plays an important role in DNA mircroarray data analyses. An essential feature of DNA microarray data sets is that the number of input variables (gen...
Peter J. Tan, David L. Dowe, Trevor I. Dix