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» Stream Mining for Network Management
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KDD
2007
ACM
184views Data Mining» more  KDD 2007»
15 years 10 months ago
GraphScope: parameter-free mining of large time-evolving graphs
How can we find communities in dynamic networks of social interactions, such as who calls whom, who emails whom, or who sells to whom? How can we spot discontinuity timepoints in ...
Jimeng Sun, Christos Faloutsos, Spiros Papadimitri...
CIKM
2010
Springer
14 years 8 months ago
Partial drift detection using a rule induction framework
The major challenge in mining data streams is the issue of concept drift, the tendency of the underlying data generation process to change over time. In this paper, we propose a g...
Damon Sotoudeh, Aijun An
95
Voted
SIGMOD
2004
ACM
126views Database» more  SIGMOD 2004»
15 years 9 months ago
StreaMon: An Adaptive Engine for Stream Query Processing
StreaMon is the adaptive query processing engine of the STREAM prototype Data Stream Management System (DSMS) [4]. A fundamental challenge in many DSMS applications (e.g., network...
Shivnath Babu, Jennifer Widom
ICDE
2009
IEEE
178views Database» more  ICDE 2009»
14 years 7 months ago
Efficient Query Evaluation over Temporally Correlated Probabilistic Streams
Many real world applications such as sensor networks and other monitoring applications naturally generate probabilistic streams that are highly correlated in both time and space. ...
Bhargav Kanagal, Amol Deshpande
DATE
2010
IEEE
197views Hardware» more  DATE 2010»
14 years 4 months ago
Compilation of stream programs for multicore processors that incorporate scratchpad memories
The stream processing characteristics of many embedded system applications in multimedia and networking domains have led to the advent of stream based programming formats. Several ...
Weijia Che, Amrit Panda, Karam S. Chatha