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» An Anytime Algorithm for Computing Inconsistency Measurement
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VLDB
2009
ACM
159views Database» more  VLDB 2009»
14 years 7 months ago
Anytime measures for top-k algorithms on exact and fuzzy data sets
Top-k queries on large multi-attribute data sets are fundamental operations in information retrieval and ranking applications. In this article, we initiate research on the anytime ...
Benjamin Arai, Gautam Das, Dimitrios Gunopulos, Ni...
SDM
2012
SIAM
285views Data Mining» more  SDM 2012»
11 years 9 months ago
A Novel Approximation to Dynamic Time Warping allows Anytime Clustering of Massive Time Series Datasets
Given the ubiquity of time series data, the data mining community has spent significant time investigating the best time series similarity measure to use for various tasks and dom...
Qiang Zhu 0002, Gustavo E. A. P. A. Batista, Thana...
IJCAI
2007
13 years 8 months ago
Fast Image Alignment Using Anytime Algorithms
Image alignment refers to finding the best transformation from a fixed reference image to a new image of a scene. This process is often guided by similarity measures between ima...
Rupert Brooks, Tal Arbel, Doina Precup
WEBI
2009
Springer
14 years 1 months ago
Measuring Inconsistency in DL-Lite Ontologies
Abstract—Measuring Inconsistency in ontologies is an important topic in ontology engineering as it can provide extra information for dealing with inconsistency. Many approaches h...
Liping Zhou, Houkuan Huang, Guilin Qi, Yue Ma, Zhi...
RSCTC
2000
Springer
151views Fuzzy Logic» more  RSCTC 2000»
13 years 10 months ago
Anytime Algorithm for Feature Selection
Feature selection is used to improve performance of learning algorithms by finding a minimal subset of relevant features. Since the process of feature selection is computationally ...
Mark Last, Abraham Kandel, Oded Maimon, Eugene Ebe...