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» A rough set approach to multiple dataset analysis
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WWW
2001
ACM
16 years 2 months ago
N for the price of 1: bundling web objects for more efficient content delivery
: Persistent connections address inefficiencies associated with multiple concurrent connections. They can improve response time when successfully used with pipelining to retrieve a...
Craig E. Wills, Mikhail Mikhailov, Hao Shang
IDA
2005
Springer
15 years 7 months ago
Removing Statistical Biases in Unsupervised Sequence Learning
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize the...
Yoav Horman, Gal A. Kaminka
EWSPT
1995
Springer
15 years 5 months ago
Process Viewpoints
ÐThis paper discusses the notion of process inconsistency and suggests that inconsistencies in software processes are inevitable and sometimes desirable. We present an approach to...
Ian Sommerville, Gerald Kotonya, Stephen Viller, P...
KDD
2004
ACM
151views Data Mining» more  KDD 2004»
16 years 1 months ago
Feature selection in scientific applications
Numerous applications of data mining to scientific data involve the induction of a classification model. In many cases, the collection of data is not performed with this task in m...
Erick Cantú-Paz, Shawn Newsam, Chandrika Ka...
SIGMOD
2009
ACM
191views Database» more  SIGMOD 2009»
16 years 1 months ago
Scalable skyline computation using object-based space partitioning
The skyline operator returns from a set of multi-dimensional objects a subset of superior objects that are not dominated by others. This operation is considered very important in ...
Shiming Zhang, Nikos Mamoulis, David W. Cheung