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ICDM
2003
IEEE
143views Data Mining» more  ICDM 2003»
15 years 5 months ago
Active Sampling for Feature Selection
In knowledge discovery applications, where new features are to be added, an acquisition policy can help select the features to be acquired based on their relevance and the cost of...
Sriharsha Veeramachaneni, Paolo Avesani
ICCS
2007
Springer
15 years 6 months ago
Learning Common Outcomes of Communicative Actions Represented by Labeled Graphs
We build a generic methodology based on learning and reasoning to detect specific attitudes of human agents and patterns of their interactions. Human attitudes are determined in te...
Boris Galitsky, Boris Kovalerchuk, Sergei O. Kuzne...
DSS
2007
74views more  DSS 2007»
14 years 11 months ago
Novel information discovery for intelligence and counterterrorism
Intelligence analysts construct hypotheses from large volumes of data, but are often limited by social and organizational norms and their own preconceptions and biases. The use of...
David B. Skillicorn, Nikhil Vats
IJDMB
2008
105views more  IJDMB 2008»
14 years 12 months ago
Temporal representation for gene networks: towards a qualitative temporal data mining
: Recently lots of studies aim at modeling and inferring gene networks. Modeling tools propose graphical models having almost nothing about time description of events and regards t...
Nicolas Turenne, Sylviane R. Schwer
IPPS
1999
IEEE
15 years 4 months ago
High-Performance Knowledge Extraction from Data on PC-Based Networks of Workstations
The automatic construction of classi ers programs able to correctly classify data collected from the real world is one of the major problems in pattern recognition and in a wide ar...
Cosimo Anglano, Attilio Giordana, Giuseppe Lo Bell...