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» Mining Patterns in Long Sequential Data with Noise
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ICWS
2008
IEEE
13 years 11 months ago
A Temporal Data-Mining Approach for Discovering End-to-End Transaction Flows
Effective management of Web Services systems relies on accurate understanding of end-to-end transaction flows, which may change over time as the service composition evolves. This ...
Ting Wang, Chang-Shing Perng, Tao Tao, Chunqiang T...
ACSW
2004
13 years 11 months ago
Learning Dynamics of Pesticide Abuse through Data Mining
Recent studies by agriculture researchers in Pakistan have shown that attempts of crop yield maximization through pro-pesticide state policies have led to a dangerously high pesti...
Ahsan Abdullah, Stephen Brobst, Ijaz Pervaiz
EUROSYS
2007
ACM
14 years 6 months ago
Competitive prefetching for concurrent sequential I/O
During concurrent I/O workloads, sequential access to one I/O stream can be interrupted by accesses to other streams in the system. Frequent switching between multiple sequential ...
Chuanpeng Li, Kai Shen, Athanasios E. Papathanasio...
SEKE
2005
Springer
14 years 3 months ago
Recovering Individual Accessing Behaviour from Web Logs
In this paper, we present a new view on the data preparation in web usage mining. We concentrate on recovering individual usage behaviour from accessing records on web site. We de...
Long Wang 0002, Christoph Meinel
SSD
2005
Springer
173views Database» more  SSD 2005»
14 years 3 months ago
On Discovering Moving Clusters in Spatio-temporal Data
A moving cluster is defined by a set of objects that move close to each other for a long time interval. Real-life examples are a group of migrating animals, a convoy of cars movin...
Panos Kalnis, Nikos Mamoulis, Spiridon Bakiras