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ICTAI
2009
IEEE
15 years 4 months ago
Probabilistic Neural Logic Network Learning: Taking Cues from Neuro-Cognitive Processes
This paper describes an attempt to devise a knowledge discovery model that is inspired from the two theoretical frameworks of selectionism and constructivism in human cognitive le...
Henry Wai Kit Chia, Chew Lim Tan, Sam Yuan Sung
DMIN
2006
144views Data Mining» more  DMIN 2006»
14 years 10 months ago
Discovering Assignment Rules in Workforce Schedules Using Data Mining
Discovering hidden patterns in large sets of workforce schedules to gain insight into the potential knowledge in workforce schedules are crucial to better understanding the workfor...
Jihong Yan
DEXAW
2005
IEEE
133views Database» more  DEXAW 2005»
14 years 11 months ago
Inductive Databases: Towards a New Generation of Databases for Knowledge Discovery
Data mining applications are typically used in the decision making process. The Knowledge Discovery Process (KDD process for short) is a typical iterative process, in which not on...
Rosa Meo
ICPADS
2010
IEEE
14 years 7 months ago
Fault Tolerant Network Routing through Software Overlays for Intelligent Power Grids
Control decisions of intelligent devices in critical infrastructure can have a significant impact on human life and the environment. Insuring that the appropriate data is availabl...
Christopher Zimmer, Frank Mueller
FLAIRS
2003
14 years 10 months ago
Logical Identities Applied to Knowledge Discovery in Databases
Data mining is the process of extracting implicit, previously unknown, and potentially useful information from data in databases. It is widely recognized as a useful tool for deci...
James P. Buckley, Jennifer Seitzer, Yongzhi Zhang,...