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» An ICA algorithm for analyzing multiple data sets
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DKE
2007
116views more  DKE 2007»
13 years 7 months ago
A concurrent rule scheduling algorithm for active rules
The use of rules in a distributed environment creates new challenges for the development of active rule execution models. In particular, since a single event can trigger multiple ...
Ying Jin, Susan Darling Urban, Suzanne W. Dietrich
SSD
2009
Springer
149views Database» more  SSD 2009»
14 years 2 months ago
Analyzing Trajectories Using Uncertainty and Background Information
A key issue in clustering data, regardless the algorithm used, is the definition of a distance function. In the case of trajectory data, different distance functions have been pro...
Bart Kuijpers, Bart Moelans, Walied Othman, Alejan...
KDD
2008
ACM
148views Data Mining» more  KDD 2008»
14 years 8 months ago
Get another label? improving data quality and data mining using multiple, noisy labelers
This paper addresses the repeated acquisition of labels for data items when the labeling is imperfect. We examine the improvement (or lack thereof) in data quality via repeated la...
Victor S. Sheng, Foster J. Provost, Panagiotis G. ...
ICTAI
2006
IEEE
14 years 1 months ago
MI-Winnow: A New Multiple-Instance Learning Algorithm
We present MI-Winnow, a new multiple-instance learning (MIL) algorithm that provides a new technique to convert MIL data into standard supervised data. In MIL each example is a co...
Sharath R. Cholleti, Sally A. Goldman, Rouhollah R...
PAKDD
2005
ACM
132views Data Mining» more  PAKDD 2005»
14 years 1 months ago
On Multiple Query Optimization in Data Mining
Traditional multiple query optimization methods focus on identifying common subexpressions in sets of relational queries and on constructing their global execution plans. In this p...
Marek Wojciechowski, Maciej Zakrzewicz