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» The Stardinates - Visualizing Highly Structured Data
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130
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ICASSP
2011
IEEE
14 years 5 months ago
Learning and inference algorithms for partially observed structured switching vector autoregressive models
We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...
Balakrishnan Varadarajan, Sanjeev Khudanpur
FOCS
1996
IEEE
15 years 6 months ago
Fault Tolerant Data Structures
We study the tolerance of data structures to memory faults. We observe that many pointerbased data structures (e.g., linked lists, trees, etc.) are highly nonresilient to faults. ...
Yonatan Aumann, Michael A. Bender
121
Voted
GCC
2007
Springer
15 years 8 months ago
Data Persistence in Structured P2P Networks with Redundancy Schemes
Data service is the principle application in structured P2P networks. And in many cases, we need the data to persist for a long time. So how to persist the data service and how lo...
Hongxing Li, Guihai Chen
USENIX
2007
15 years 4 months ago
Hyperion: High Volume Stream Archival for Retrospective Querying
Network monitoring systems that support data archival and after-the-fact (retrospective) queries are useful for a multitude of purposes, such as anomaly detection and network and ...
Peter Desnoyers, Prashant J. Shenoy
VLDB
1998
ACM
134views Database» more  VLDB 1998»
15 years 6 months ago
Design, Implementation, and Performance of the LHAM Log-Structured History Data Access Method
Numerous applications such as stock market or medical information systems require that both historical and current data be logically integrated into a temporal database. The under...
Peter Muth, Patrick E. O'Neil, Achim Pick, Gerhard...