Sciweavers

708 search results - page 1 / 142
» Improving Mining Quality by Exploiting Data Dependency
Sort
View
PAKDD
2005
ACM
160views Data Mining» more  PAKDD 2005»
13 years 9 months ago
Improving Mining Quality by Exploiting Data Dependency
The usefulness of the results produced by data mining methods can be critically impaired by several factors such as (1) low quality of data, including errors due to contamination, ...
Fang Chu, Yizhou Wang, Carlo Zaniolo, Douglas Stot...
ECAI
2004
Springer
13 years 9 months ago
Exploiting Association and Correlation Rules - Parameters for Improving the K2 Algorithm
A Bayesian network is an appropriate tool to deal with the uncertainty that is typical of real-life applications. Bayesian network arcs represent statistical dependence between dif...
Evelina Lamma, Fabrizio Riguzzi, Sergio Storari
WSDM
2010
ACM
245views Data Mining» more  WSDM 2010»
14 years 1 months ago
Improving Quality of Training Data for Learning to Rank Using Click-Through Data
In information retrieval, relevance of documents with respect to queries is usually judged by humans, and used in evaluation and/or learning of ranking functions. Previous work ha...
Jingfang Xu, Chuanliang Chen, Gu Xu, Hang Li, Elbi...
KDD
1997
ACM
122views Data Mining» more  KDD 1997»
13 years 8 months ago
Improving Scalability in a Scientific Discovery System by Exploiting Parallelism
Gehad Galal, Diane J. Cook, Lawrence B. Holder
ICDM
2003
IEEE
220views Data Mining» more  ICDM 2003»
13 years 9 months ago
Exploiting Unlabeled Data for Improving Accuracy of Predictive Data Mining
Predictive data mining typically relies on labeled data without exploiting a much larger amount of available unlabeled data. The goal of this paper is to show that using unlabeled...
Kang Peng, Slobodan Vucetic, Bo Han, Hongbo Xie, Z...