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KDD
2006
ACM
240views Data Mining» more  KDD 2006»
14 years 9 months ago
Adaptive event detection with time-varying poisson processes
Time-series of count data are generated in many different contexts, such as web access logging, freeway traffic monitoring, and security logs associated with buildings. Since this...
Alexander T. Ihler, Jon Hutchins, Padhraic Smyth
KDD
2009
ACM
150views Data Mining» more  KDD 2009»
14 years 9 months ago
Large human communication networks: patterns and a utility-driven generator
Given a real, and weighted person-to-person network which changes over time, what can we say about the cliques that it contains? Do the incidents of communication, or weights on t...
Nan Du, Christos Faloutsos, Bai Wang, Leman Akoglu
IDA
2011
Springer
13 years 3 months ago
Ubiquitous Knowledge Discovery
Ubiquitous Knowledge Discovery is a new research area at the intersection of machine learning and data mining with mobile and distributed systems. In this paper the main character...
João Gama, Michael May
CORR
2010
Springer
136views Education» more  CORR 2010»
13 years 5 months ago
Personalized Data Set for Analysis
Data Management portfolio within an organization has seen an upsurge in initiatives for compliance, security, repurposing and storage within and outside the organization. When suc...
Vishal Gupta, Ashutosh Saxena
ICDM
2009
IEEE
145views Data Mining» more  ICDM 2009»
13 years 6 months ago
Significance of Episodes Based on Minimal Windows
Discovering episodes, frequent sets of events from a sequence has been an active field in pattern mining. Traditionally, a level-wise approach is used to discover all frequent epis...
Nikolaj Tatti