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KBS
2006
79views more  KBS 2006»
14 years 10 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
ADBIS
2009
Springer
101views Database» more  ADBIS 2009»
15 years 2 months ago
Temporal Data Classification Using Linear Classifiers
Data classification is usually based on measurements recorded at the same time. This paper considers temporal data classification where the input is a temporal database that descri...
Peter Z. Revesz, Thomas Triplet
KDD
2003
ACM
148views Data Mining» more  KDD 2003»
15 years 10 months ago
Mining concept-drifting data streams using ensemble classifiers
Recently, mining data streams with concept drifts for actionable insights has become an important and challenging task for a wide range of applications including credit card fraud...
Haixun Wang, Wei Fan, Philip S. Yu, Jiawei Han
ISCA
2005
IEEE
113views Hardware» more  ISCA 2005»
15 years 3 months ago
Piecewise Linear Branch Prediction
Improved branch prediction accuracy is essential to sustaining instruction throughput with today’s deep pipelines. We introduce piecewise linear branch prediction, an idealized ...
Daniel A. Jiménez
BMCBI
2010
123views more  BMCBI 2010»
14 years 10 months ago
An improved classification of G-protein-coupled receptors using sequence-derived features
Background: G-protein-coupled receptors (GPCRs) play a key role in diverse physiological processes and are the targets of almost two-thirds of the marketed drugs. The 3 D structur...
Zhen-Ling Peng, Jian-Yi Yang, Xin Chen