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138
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KDD
2009
ACM
221views Data Mining» more  KDD 2009»
16 years 1 months ago
Migration motif: a spatial - temporal pattern mining approach for financial markets
A recent study by two prominent finance researchers, Fama and French, introduces a new framework for studying risk vs. return: the migration of stocks across size-value portfolio ...
Xiaoxi Du, Ruoming Jin, Liang Ding, Victor E. Lee,...
KDD
2009
ACM
152views Data Mining» more  KDD 2009»
16 years 1 months ago
A multi-relational approach to spatial classification
Spatial classification is the task of learning models to predict class labels based on the features of entities as well as the spatial relationships to other entities and their fe...
Richard Frank, Martin Ester, Arno Knobbe
180
Voted
PODS
2009
ACM
113views Database» more  PODS 2009»
16 years 1 months ago
Relative information completeness
The paper investigates the question of whether a partially closed database has complete information to answer a query. In practice an enterprise often maintains master data Dm, a ...
Wenfei Fan, Floris Geerts
101
Voted
KDD
2008
ACM
148views Data Mining» more  KDD 2008»
16 years 1 months ago
Get another label? improving data quality and data mining using multiple, noisy labelers
This paper addresses the repeated acquisition of labels for data items when the labeling is imperfect. We examine the improvement (or lack thereof) in data quality via repeated la...
Victor S. Sheng, Foster J. Provost, Panagiotis G. ...
KDD
2008
ACM
137views Data Mining» more  KDD 2008»
16 years 1 months ago
Learning classifiers from only positive and unlabeled data
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
Charles Elkan, Keith Noto
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