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» Quantifying Uncertainty of Knowledge Discovered From Databas...
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DEXA
2003
Springer
114views Database» more  DEXA 2003»
15 years 2 months ago
A Lesson for Software Engineering from Knowledge Engineering
Knowledge engineering has developed fine tools for maintaining the integrity of knowledge bases. These tools may be applied to the maintenance of conventional programs particularly...
John K. Debenham
EDBT
2000
ACM
15 years 1 months ago
Quality Assessment and Uncertainty Handling in Data Mining Process
The KDD process aims at the discovery and extraction of “useful” knowledge (such as interesting patterns, classification, rules etc) from large data repositories. A widely rec...
Maria Halkidi
74
Voted
CORR
2010
Springer
114views Education» more  CORR 2010»
14 years 7 months ago
Efficiently Discovering Hammock Paths from Induced Similarity Networks
ty networks are important abstractions in many information management applications such as recommender systems, corpora analysis, and medical informatics. For instance, in a recom...
M. Shahriar Hossain, Michael Narayan, Naren Ramakr...
BMCBI
2005
150views more  BMCBI 2005»
14 years 9 months ago
Discover protein sequence signatures from protein-protein interaction data
Background: The development of high-throughput technologies such as yeast two-hybrid systems and mass spectrometry technologies has made it possible to generate large protein-prot...
Jianwen Fang, Ryan J. Haasl, Yinghua Dong, Gerald ...
WWW
2004
ACM
15 years 10 months ago
Graph-based text database for knowledge discovery
While we expect to discover knowledge in the texts available on the Web, such discovery usually requires many complex analysis steps, most of which require different text handling...
Junji Tomita, Hidekazu Nakawatase, Megumi Ishii