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» Improving Mining Quality by Exploiting Data Dependency
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ICDM
2009
IEEE
109views Data Mining» more  ICDM 2009»
14 years 19 days ago
Semi-naive Exploitation of One-Dependence Estimators
—It is well known that the key of Bayesian classifier learning is to balance the two important issues, that is, the exploration of attribute dependencies in high orders for ensu...
Nan Li, Yang Yu, Zhi-Hua Zhou
LSSC
2005
Springer
13 years 11 months ago
Improved Solution Enclosures for Over- and Underdetermined Interval Linear Systems
Abstract. In this paper we discuss an inclusion method for solving rectangular (over- and under-determined) dense linear systems where the input data are uncertain and vary within ...
Evgenija D. Popova
ADMA
2006
Springer
143views Data Mining» more  ADMA 2006»
13 years 9 months ago
Robust Collective Classification with Contextual Dependency Network Models
Abstract. In order to exploit the dependencies in relational data to improve predictions, relational classification models often need to make simultaneous statistical judgments abo...
YongHong Tian, Tiejun Huang, Wen Gao
GLOBECOM
2006
IEEE
14 years 16 hour ago
Improving Voice and Data Service Provisioning in Cellular/WLAN Integrated Networks by Admission Control
— In this paper, we study the voice and data service provisioning in an integrated system of cellular and wireless local area networks (WLANs). To maximize the overall resource u...
Wei Song, Yu Cheng, Weihua Zhuang, Aladdin Saleh
MINENET
2005
ACM
13 years 11 months ago
Topographical proximity for mining network alarm data
Increasingly powerful fault management systems are required to ensure robustness and quality of service in today’s networks. In this context, event correlation is of prime impor...
Ann Devitt, Joseph Duffin, Robert Moloney