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IS
2008
13 years 5 months ago
Continuous subspace clustering in streaming time series
Performing data mining tasks in streaming data is considered a challenging research direction, due to the continuous data evolution. In this work, we focus on the problem of clust...
Maria Kontaki, Apostolos N. Papadopoulos, Yannis M...
SSDBM
2006
IEEE
129views Database» more  SSDBM 2006»
13 years 11 months ago
Indexing Time-Evolving Data With Variable Lifetimes
Many applicationsstore data items for a pre-determined, finite length of time. Examples include slidingwindows over on-line data streams, where old data are dropped as the window...
Lukasz Golab, Piyush Prahladka, M. Tamer Özsu
PODS
2010
ACM
232views Database» more  PODS 2010»
13 years 10 months ago
Optimal sampling from distributed streams
A fundamental problem in data management is to draw a sample of a large data set, for approximate query answering, selectivity estimation, and query planning. With large, streamin...
Graham Cormode, S. Muthukrishnan, Ke Yi, Qin Zhang
CIARP
2007
Springer
13 years 11 months ago
A Method for Estimating Authentication Performance over Time, with Applications to Face Biometrics
Underlying biometrics are biological tissues that evolve over time. Hence, biometric authentication (and recognition in general) is a dynamic pattern recognition problem. We propos...
Norman Poh, Josef Kittler, Raymond S. Smith, Jose ...
RECOMB
2009
Springer
14 years 5 months ago
An Online Approach for Mining Collective Behaviors from Molecular Dynamics Simulations
Collective behavior involving distally separate regions in a protein is known to widely affect its function. In this paper, we present an online approach to study and characterize ...
Arvind Ramanathan, Pratul K. Agarwal, Maria Kurnik...