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CPM
2010
Springer
175views Combinatorics» more  CPM 2010»
15 years 2 months ago
Compression, Indexing, and Retrieval for Massive String Data
The field of compressed data structures seeks to achieve fast search time, but using a compressed representation, ideally requiring less space than that occupied by the original i...
Wing-Kai Hon, Rahul Shah, Jeffrey Scott Vitter
CORR
2010
Springer
91views Education» more  CORR 2010»
14 years 4 months ago
TSDS: high-performance merge, subset, and filter software for time series-like data
Time Series Data Server (TSDS) is a software package for implementing a server that provides fast supersetting, sub-setting, filtering, and uniform gridding of time series-like dat...
Robert S. Weigel, Doug M. Lindholm, A. Wilson, Jer...
IPSN
2009
Springer
15 years 4 months ago
Recovering temporal integrity with Data Driven Time Synchronization
Data Driven Time Synchronization (DDTS) provides synchronization across sensors by using underlying characteristics of data collected by an embedded sensing system. We apply the c...
Martin Lukac, Paul Davis, Robert Clayton, Deborah ...
UAI
2003
14 years 11 months ago
Learning Continuous Time Bayesian Networks
Continuous time Bayesian networks (CTBN) describe structured stochastic processes with finitely many states that evolve over continuous time. A CTBN is a directed (possibly cycli...
Uri Nodelman, Christian R. Shelton, Daphne Koller
DATAMINE
2006
224views more  DATAMINE 2006»
14 years 9 months ago
Characteristic-Based Clustering for Time Series Data
With the growing importance of time series clustering research, particularly for similarity searches amongst long time series such as those arising in medicine or finance, it is cr...
Xiaozhe Wang, Kate A. Smith, Rob J. Hyndman