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AUSDM
2007
Springer
193views Data Mining» more  AUSDM 2007»
14 years 4 months ago
Are Zero-suppressed Binary Decision Diagrams Good for Mining Frequent Patterns in High Dimensional Datasets?
Mining frequent patterns such as frequent itemsets is a core operation in many important data mining tasks, such as in association rule mining. Mining frequent itemsets in high-di...
Elsa Loekito, James Bailey
ICDM
2006
IEEE
176views Data Mining» more  ICDM 2006»
14 years 4 months ago
Razor: mining distance-constrained embedded subtrees
Due to their capability for expressing semantics and relationships among data objects, semi-structured documents have become a common way of representing domain knowledge. Compari...
Henry Tan, Tharam S. Dillon, Fedja Hadzic, Elizabe...
CIKM
2006
Springer
14 years 1 months ago
TRIPS and TIDES: new algorithms for tree mining
Recent research in data mining has progressed from mining frequent itemsets to more general and structured patterns like trees and graphs. In this paper, we address the problem of...
Shirish Tatikonda, Srinivasan Parthasarathy, Tahsi...
AUSDM
2008
Springer
221views Data Mining» more  AUSDM 2008»
14 years 3 days ago
Indoor Location Prediction Using Multiple Wireless Received Signal Strengths
This paper presents a framework for indoor location prediction system using multiple wireless signals available freely in public or office spaces. We first proabstract architectur...
Kha Tran, Dinh Q. Phung, Brett Adams, Svetha Venka...
CORR
2011
Springer
168views Education» more  CORR 2011»
13 years 1 months ago
Link Prediction by De-anonymization: How We Won the Kaggle Social Network Challenge
— This paper describes the winning entry to the IJCNN 2011 Social Network Challenge run by Kaggle.com. The goal of the contest was to promote research on realworld link predictio...
Arvind Narayanan, Elaine Shi, Benjamin I. P. Rubin...