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FGCS
2007
160views more  FGCS 2007»
13 years 7 months ago
Distributed data mining in grid computing environments
The computing-intensive data mining for inherently Internet-wide distributed data, referred to as Distributed Data Mining (DDM), calls for the support of a powerful Grid with an e...
Ping Luo, Kevin Lü, Zhongzhi Shi, Qing He
ISI
2006
Springer
13 years 7 months ago
An Embedded Bayesian Network Hidden Markov Model for Digital Forensics
In the paper we combine a Bayesian Network model for encoding forensic evidence during a given time interval with a Hidden Markov Model (EBN-HMM) for tracking and predicting the de...
Olivier Y. de Vel, Nianjun Liu, Terry Caelli, Tib&...
ICDE
2009
IEEE
184views Database» more  ICDE 2009»
14 years 2 months ago
Scalable Keyword Search on Large Data Streams
Abstract— It is widely realized that the integration of information retrieval (IR) and database (DB) techniques provides users with a broad range of high quality services. A new ...
Lu Qin, Jeffrey Xu Yu, Lijun Chang, Yufei Tao
SPAA
2003
ACM
14 years 23 days ago
Information gathering in adversarial systems: lines and cycles
In this paper we consider the problem of routing packets to a single destination in a dynamically changing network, where both the network and the packet injections are under adve...
Kishore Kothapalli, Christian Scheideler
SIGMOD
2010
ACM
186views Database» more  SIGMOD 2010»
14 years 11 days ago
Fast approximate correlation for massive time-series data
We consider the problem of computing all-pair correlations in a warehouse containing a large number (e.g., tens of thousands) of time-series (or, signals). The problem arises in a...
Abdullah Mueen, Suman Nath, Jie Liu