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» Compositional Variability - Concepts and Patterns
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124
Voted
KDD
2006
ACM
175views Data Mining» more  KDD 2006»
16 years 2 months ago
A mixture model for contextual text mining
Contextual text mining is concerned with extracting topical themes from a text collection with context information (e.g., time and location) and comparing/analyzing the variations...
Qiaozhu Mei, ChengXiang Zhai
KDD
2004
ACM
170views Data Mining» more  KDD 2004»
16 years 2 months ago
Why collective inference improves relational classification
Procedures for collective inference make simultaneous statistical judgments about the same variables for a set of related data instances. For example, collective inference could b...
David Jensen, Jennifer Neville, Brian Gallagher
129
Voted
PERCOM
2007
ACM
16 years 2 months ago
Structural Learning of Activities from Sparse Datasets
Abstract. A major challenge in pervasive computing is to learn activity patterns, such as bathing and cleaning from sensor data. Typical sensor deployments generate sparse datasets...
Fahd Albinali, Nigel Davies, Adrian Friday
124
Voted
SAC
2009
ACM
15 years 9 months ago
Capturing truthiness: mining truth tables in binary datasets
We introduce a new data mining problem: mining truth tables in binary datasets. Given a matrix of objects and the properties they satisfy, a truth table identifies a subset of pr...
Clifford Conley Owens III, T. M. Murali, Naren Ram...
112
Voted
IPPS
2009
IEEE
15 years 9 months ago
Exploiting DMA to enable non-blocking execution in Decoupled Threaded Architecture
DTA (Decoupled Threaded Architecture) is designed to exploit fine/medium grained Thread Level Parallelism (TLP) by using a distributed hardware scheduling unit and relying on exi...
Roberto Giorgi, Zdravko Popovic, Nikola Puzovic