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ICDM
2003
IEEE
104views Data Mining» more  ICDM 2003»
15 years 7 months ago
Localized Prediction of Continuous Target Variables Using Hierarchical Clustering
In this paper, we propose a novel technique for the efficient prediction of multiple continuous target variables from high-dimensional and heterogeneous data sets using a hierarch...
Aleksandar Lazarevic, Ramdev Kanapady, Chandrika K...
JUCS
2010
139views more  JUCS 2010»
15 years 10 days ago
LemmaGen: Multilingual Lemmatisation with Induced Ripple-Down Rules
: Lemmatisation is the process of finding the normalised forms of words appearing in text. It is a useful preprocessing step for a number of language engineering and text mining t...
Matjaz Jursic, Igor Mozetic, Tomaz Erjavec, Nada L...
KDD
2012
ACM
187views Data Mining» more  KDD 2012»
13 years 4 months ago
Online learning to diversify from implicit feedback
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
Karthik Raman, Pannaga Shivaswamy, Thorsten Joachi...
KDD
2007
ACM
190views Data Mining» more  KDD 2007»
16 years 2 months ago
Model-shared subspace boosting for multi-label classification
Typical approaches to multi-label classification problem require learning an independent classifier for every label from all the examples and features. This can become a computati...
Rong Yan, Jelena Tesic, John R. Smith
ICDM
2003
IEEE
102views Data Mining» more  ICDM 2003»
15 years 7 months ago
Bootstrapping Rule Induction
Most rule learning systems posit hard decision boundaries for continuous attributes and point estimates of rule accuracy, with no measures of variance, which may seem arbitrary to ...
Lemuel R. Waitman, Douglas H. Fisher, Paul H. King