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KBS
2006
79views more  KBS 2006»
14 years 9 months ago
Using multiple and negative target rules to make classifiers more understandable
One major goal for data mining is to understand data. Rule based methods are better than other methods in making mining results comprehensible. However, the current rule based cla...
Jiuyong Li, Jason Jones
ENTCS
2006
119views more  ENTCS 2006»
14 years 9 months ago
Markovian Testing and Trace Equivalences Exactly Lump More Than Markovian Bisimilarity
The notion of equivalence that is typically used to relate Markovian process terms and to reduce their underlying state spaces is Markovian bisimilarity. The reason is that, besid...
Marco Bernardo
TPDS
2008
133views more  TPDS 2008»
14 years 9 months ago
A More Practical Approach for Single-Packet IP Traceback using Packet Logging and Marking
Tracing IP packets back to their origins is an important step in defending the Internet against denial-of-service (DoS) attacks. Two kinds of IP traceback techniques have been prop...
Chao Gong, Kamil Saraç
SDM
2004
SIAM
214views Data Mining» more  SDM 2004»
14 years 11 months ago
Making Time-Series Classification More Accurate Using Learned Constraints
It has long been known that Dynamic Time Warping (DTW) is superior to Euclidean distance for classification and clustering of time series. However, until lately, most research has...
Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh
CHI
1996
ACM
15 years 1 months ago
Using Small Screen Space More Efficiently
: This paper describes techniques for maximizing the efficient use of small screen space by combining delayed response with semi-transparency of control objects ("widgets"...
Tomonari Kamba, Shawn A. Elson, Terry Harpold, Tim...