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» Interval Methods: An Introduction
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DASFAA
2004
IEEE
158views Database» more  DASFAA 2004»
14 years 1 months ago
A Cost Model for Spatial Intersection Queries on RI-Trees
Abstract. The efficient management of interval sequences represents a core requirement for many temporal and spatial database applications. With the Relational Interval Tree (RI-tr...
Hans-Peter Kriegel, Martin Pfeifle, Marco Pöt...
ICML
2002
IEEE
14 years 10 months ago
Non-Disjoint Discretization for Naive-Bayes Classifiers
Previous discretization techniques have discretized numeric attributes into disjoint intervals. We argue that this is neither necessary nor appropriate for naive-Bayes classifiers...
Ying Yang, Geoffrey I. Webb
SAC
2006
ACM
14 years 4 months ago
A branch and prune algorithm for the approximation of non-linear AE-solution sets
Non-linear AE-solution sets are a special case of parametric systems of equations where universally quantified parameters appear first. They allow to model many practical situat...
Alexandre Goldsztejn
DMSN
2008
ACM
13 years 11 months ago
Probabilistic processing of interval-valued sensor data
When dealing with sensors with different time resolutions, it is desirable to model a sensor reading as pertaining to a time interval rather than a unit of time. We introduce two ...
Sander Evers, Maarten M. Fokkinga, Peter M. G. Ape...
IJCAI
1997
13 years 11 months ago
Minimum Splits Based Discretization for Continuous Features
Discretization refers to splitting the range of continuous values into intervals so as to provide useful information about classes. This is usually done by minimizing a goodness m...
Ke Wang, Han Chong Goh