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PAKDD
2000
ACM
140views Data Mining» more  PAKDD 2000»
15 years 9 months ago
Performance Controlled Data Reduction for Knowledge Discovery in Distributed Databases
The objective of data reduction is to obtain a compact representation of a large data set to facilitate repeated use of non-redundant information with complex and slow learning alg...
Slobodan Vucetic, Zoran Obradovic
AAAI
2008
15 years 8 months ago
HTN-MAKER: Learning HTNs with Minimal Additional Knowledge Engineering Required
We describe HTN-MAKER, an algorithm for learning hierarchical planning knowledge in the form of decomposition methods for Hierarchical Task Networks (HTNs). HTNMAKER takes as inpu...
Chad Hogg, Héctor Muñoz-Avila, Ugur ...
LREC
2010
201views Education» more  LREC 2010»
15 years 7 months ago
Cultural Heritage: Knowledge Extraction from Web Documents
This article presents the use of NLP techniques (text mining, text analysis) to develop specific tools that allow to create linguistic resources related to the cultural heritage d...
Eva Sassolini, Alessandra Cinini
ISMB
1993
15 years 7 months ago
Knowledge-Based Generation of Machine-Learning Experiments: Learning with DNA Crystallography Data
Thoughit has been possible in the past to learn to predict DNAhydration patterns from crystallographic data, there is ambiguity in the choice of training data (both in terms of th...
Dawn M. Cohen, Casimir A. Kulikowski, Helen Berman
SPRINGSIM
2007
15 years 7 months ago
Bringing knowledge to network defense
Security managers must scan through multiple continuous data streams issuing from diverse sources in an effort to defend computer networks from attack. However, manual aggregation...
Leigh Flagg, Gordon Streeter, Andrew Potter