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» Generation of Attributes for Learning Algorithms
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ICDE
2004
IEEE
85views Database» more  ICDE 2004»
14 years 9 months ago
A Frequency-based Approach for Mining Coverage Statistics in Data Integration
Query optimization in data integration requires source coverage and overlap statistics. Gathering and storing the required statistics presents many challenges, not the least of wh...
Zaiqing Nie, Subbarao Kambhampati
ICML
1999
IEEE
14 years 8 months ago
Making Better Use of Global Discretization
Before applying learning algorithms to datasets, practitioners often globally discretize any numeric attributes. If the algorithm cannot handle numeric attributes directly, prior ...
Eibe Frank, Ian H. Witten
KDD
2007
ACM
167views Data Mining» more  KDD 2007»
14 years 8 months ago
Generalized component analysis for text with heterogeneous attributes
We present a class of richly structured, undirected hidden variable models suitable for simultaneously modeling text along with other attributes encoded in different modalities. O...
Xuerui Wang, Chris Pal, Andrew McCallum
AUSAI
2001
Springer
14 years 4 days ago
Wrapping Boosters against Noise
Abstract. Wrappers have recently been used to obtain parameter optimizations for learning algorithms. In this paper we investigate the use of a wrapper for estimating the correct n...
Bernhard Pfahringer, Geoffrey Holmes, Gabi Schmidb...
KDD
1994
ACM
98views Data Mining» more  KDD 1994»
13 years 11 months ago
Rule Induction for Semantic Query Optimization
Semantic query optimization can dramatically speed up database query answering by knowledge intensive reformulation. But the problem of how to learn required semantic rules has no...
Chun-Nan Hsu, Craig A. Knoblock