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ICARCV
2002
IEEE
110views Robotics» more  ICARCV 2002»
15 years 11 months ago
A novel robust method for large numbers of gross errors
In computer vision tasks, it frequently happens that gross noise occupies the absolute majority of the data. Most robust estimators can tolerate no more than 50% gross errors. In ...
Hanzi Wang, David Suter
ADMA
2005
Springer
124views Data Mining» more  ADMA 2005»
15 years 8 months ago
Finding All Frequent Patterns Starting from the Closure
Efficient discovery of frequent patterns from large databases is an active research area in data mining with broad applications in industry and deep implications in many areas of d...
Mohammad El-Hajj, Osmar R. Zaïane
DASFAA
2007
IEEE
234views Database» more  DASFAA 2007»
16 years 12 days ago
Estimating Missing Data in Data Streams
Networks of thousands of sensors present a feasible and economic solution to some of our most challenging problems, such as real-time traffic modeling, military sensing and trackin...
Nan Jiang, Le Gruenwald
PKDD
2005
Springer
129views Data Mining» more  PKDD 2005»
15 years 11 months ago
Interestingness is Not a Dichotomy: Introducing Softness in Constrained Pattern Mining
Abstract. The paradigm of pattern discovery based on constraints was introduced with the aim of providing to the user a tool to drive the discovery process towards potentially inte...
Stefano Bistarelli, Francesco Bonchi
ICDT
2009
ACM
119views Database» more  ICDT 2009»
16 years 6 months ago
Analysis of sampling techniques for association rule mining
In this paper, we present a comprehensive theoretical analysis of the sampling technique for the association rule mining problem. Most of the previous works have concentrated only...
Venkatesan T. Chakaravarthy, Vinayaka Pandit, Yogi...