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104
Voted
KDD
2004
ACM
154views Data Mining» more  KDD 2004»
16 years 28 days ago
Diagnosing extrapolation: tree-based density estimation
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
Giles Hooker
KDD
2004
ACM
126views Data Mining» more  KDD 2004»
16 years 28 days ago
Selection, combination, and evaluation of effective software sensors for detecting abnormal computer usage
We present and empirically analyze a machine-learning approach for detecting intrusions on individual computers. Our Winnowbased algorithm continually monitors user and system beh...
Jude W. Shavlik, Mark Shavlik
97
Voted
KDD
2003
ACM
149views Data Mining» more  KDD 2003»
16 years 28 days ago
Knowledge-based data mining
We describe techniques for combining two types of knowledge systems: expert and machine learning. Both the expert system and the learning system represent information by logical d...
Søren Damgaard, Sholom M. Weiss, Shubir Kap...
WWW
2010
ACM
15 years 7 months ago
A scalable machine-learning approach for semi-structured named entity recognition
Named entity recognition studies the problem of locating and classifying parts of free text into a set of predefined categories. Although extensive research has focused on the de...
Utku Irmak, Reiner Kraft
WSDM
2009
ACM
161views Data Mining» more  WSDM 2009»
15 years 7 months ago
Predicting the readability of short web summaries
Readability is a crucial presentation attribute that web summarization algorithms consider while generating a querybaised web summary. Readability quality also forms an important ...
Tapas Kanungo, David Orr
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