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» Discovering Interesting Holes in Data
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PKDD
1999
Springer
106views Data Mining» more  PKDD 1999»
15 years 2 months ago
Heuristic Measures of Interestingness
When mining a large database, the number of patterns discovered can easily exceed the capabilities of a human user to identify interesting results. To address this problem, variou...
Robert J. Hilderman, Howard J. Hamilton
NSDI
2010
14 years 11 months ago
The Architecture and Implementation of an Extensible Web Crawler
Many Web services operate their own Web crawlers to discover data of interest, despite the fact that largescale, timely crawling is complex, operationally intensive, and expensive...
Jonathan M. Hsieh, Steven D. Gribble, Henry M. Lev...
88
Voted
SIGCOMM
2010
ACM
14 years 10 months ago
Detecting the performance impact of upgrades in large operational networks
Networks continue to change to support new applications, improve reliability and performance and reduce the operational cost. The changes are made to the network in the form of up...
Ajay Anil Mahimkar, Han Hee Song, Zihui Ge, Aman S...
IDA
2009
Springer
14 years 7 months ago
Mining the Temporal Dimension of the Information Propagation
In the last decade, Social Network Analysis has been a field in which the effort devoted from several researchers in the Data Mining area has increased very fast. Among the possibl...
Michele Berlingerio, Michele Coscia, Fosca Giannot...
MMAS
2011
Springer
14 years 5 months ago
Scalable Bayesian Reduced-Order Models for Simulating High-Dimensional Multiscale Dynamical Systems
While existing mathematical descriptions can accurately account for phenomena at microscopic scales (e.g. molecular dynamics), these are often high-dimensional, stochastic and thei...
Phaedon-Stelios Koutsourelakis, Elias Bilionis