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» Visual Object Detection using Frequent Pattern Mining
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CIDM
2009
IEEE
14 years 2 months ago
Mining for insider threats in business transactions and processes
—Protecting and securing sensitive information are critical challenges for businesses. Deliberate and intended actions such as malicious exploitation, theft or destruction of dat...
William Eberle, Lawrence B. Holder
PKDD
1998
Springer
273views Data Mining» more  PKDD 1998»
13 years 12 months ago
TextVis: An Integrated Visual Environment for Text Mining
TextVis is a visual data mining system for document collections. Such a collection represents an application domain, and the primary goal of the system is to derive patterns that p...
David Landau, Ronen Feldman, Yonatan Aumann, Moshe...
PARMA
2004
136views Database» more  PARMA 2004»
13 years 9 months ago
Using Classification and Visualization on Pattern Databases for Gene Expression Data Analysis
Abstract. We are designing new data mining techniques on gene expression data, more precisely inductive querying techniques that extract a priori interesting bi-sets, i.e., sets of...
Céline Robardet, Ruggero G. Pensa, Jé...
EUROSSC
2007
Springer
14 years 1 months ago
Behavior Detection Based on Touched Objects with Dynamic Threshold Determination Model
We are developing a context-aware application for use in homes, which detects high-level user behavior, such as “leaving the home” and “going to bed”, and provides services...
Hiroyuki Yamahara, Hideyuki Takada, Hiromitsu Shim...
ICCV
2003
IEEE
14 years 9 months ago
On the Use of Marginal Statistics of Subband Images
A commonly used representation of a visual pattern is the set of marginal probability distributions of the output of a bank of filters (Gaussian, Laplacian, Gabor etc...). This re...
Joshua Gluckman