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» Mining Hierarchies of Correlation Clusters
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ICWSM
2008
13 years 9 months ago
Mining and Visualizing Online Web Content Using BAM: Brand Association Map
In this paper, we describe our Brand Association MapTM (BAM) tool which maps and visualizes the way consumers naturally think and talk about brands across billions of unaided conv...
Navot Akiva, Eliyahu Greitzer, Yakir Krichman, Jon...
SDM
2007
SIAM
96views Data Mining» more  SDM 2007»
13 years 9 months ago
Understanding and Utilizing the Hierarchy of Abnormal BGP Events
Abnormal events, such as security attacks, misconfigurations, or electricity failures, could have severe consequences toward the normal operation of the Border Gateway Protocol (...
Dejing Dou, Jun Li, Han Qin, Shiwoong Kim, Sheng Z...
IS
2007
13 years 7 months ago
Mining association rules in very large clustered domains
Emerging applications introduce the requirement for novel association-rule mining algorithms that will be scalable not only with respect to the number of records (number of rows) ...
Alexandros Nanopoulos, Apostolos N. Papadopoulos, ...
AUSAI
2006
Springer
13 years 11 months ago
DynamicWEB: Profile Correlation Using COBWEB
Establishing relationships within a dataset is one of the core objectives of data mining. In this paper a method of correlating behaviour profiles in a continuous dataset is presen...
Joel Scanlan, Jacky Hartnett, Raymond Williams
KDD
2007
ACM
176views Data Mining» more  KDD 2007»
14 years 8 months ago
Mining correlated bursty topic patterns from coordinated text streams
Previous work on text mining has almost exclusively focused on a single stream. However, we often have available multiple text streams indexed by the same set of time points (call...
Xuanhui Wang, ChengXiang Zhai, Xiao Hu, Richard Sp...