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KDD
2007
ACM
167views Data Mining» more  KDD 2007»
16 years 2 months ago
Multiscale topic tomography
Modeling the evolution of topics with time is of great value in automatic summarization and analysis of large document collections. In this work, we propose a new probabilistic gr...
Ramesh Nallapati, Susan Ditmore, John D. Lafferty,...
KDD
2004
ACM
207views Data Mining» more  KDD 2004»
16 years 2 months ago
Belief state approaches to signaling alarms in surveillance systems
Surveillance systems have long been used to monitor industrial processes and are becoming increasingly popular in public health and anti-terrorism applications. Most early detecti...
Kaustav Das, Andrew W. Moore, Jeff G. Schneider
KDD
2003
ACM
122views Data Mining» more  KDD 2003»
16 years 2 months ago
Natural communities in large linked networks
We are interested in finding natural communities in largescale linked networks. Our ultimate goal is to track changes over time in such communities. For such temporal tracking, we...
John E. Hopcroft, Omar Khan, Brian Kulis, Bart Sel...
ICCSA
2009
Springer
15 years 8 months ago
Learning and Predicting Key Web Navigation Patterns Using Bayesian Models
Abstract. The accurate prediction of Web navigation patterns has immense commercial value as the Web evolves into a primary medium for marketing and sales for many businesses. Ofte...
Malik Tahir Hassan, Khurum Nazir Junejo, Asim Kari...
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RTAS
2009
IEEE
15 years 8 months ago
On Time-Aware Instrumentation of Programs
—Software instrumentation is a key technique in many stages of the development process. It is of particular importance for debugging embedded systems. Instrumented programs produ...
Sebastian Fischmeister, Patrick Lam