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» Practical Preference Relations for Large Data Sets
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SSD
2001
Springer
113views Database» more  SSD 2001»
14 years 28 days ago
Object-Relational Indexing for General Interval Relationships
Intervals represent a fundamental data type for temporal, scientific, and spatial databases where time stamps and point data are extended to time spans and range data, respectively...
Hans-Peter Kriegel, Marco Pötke, Thomas Seidl
SDM
2011
SIAM
242views Data Mining» more  SDM 2011»
12 years 11 months ago
Fast Algorithms for Finding Extremal Sets
Identifying the extremal (minimal and maximal) sets from a collection of sets is an important subproblem in the areas of data-mining and satisfiability checking. For example, ext...
Roberto J. Bayardo, Biswanath Panda
IJCAI
2007
13 years 10 months ago
Learning to Identify Unexpected Instances in the Test Set
Traditional classification involves building a classifier using labeled training examples from a set of predefined classes and then applying the classifier to classify test instan...
Xiaoli Li, Bing Liu, See-Kiong Ng
ACSW
2004
13 years 10 months ago
Experiences in Building a Tool for Navigating Association Rule Result Sets
Practical knowledge discovery is an iterative process. First, the experiences gained from one mining run are used to inform the parameter setting and the dataset and attribute sel...
Peter Fule, John F. Roddick
JAIR
2006
137views more  JAIR 2006»
13 years 8 months ago
Learning Sentence-internal Temporal Relations
In this paper we propose a data intensive approach for inferring sentence-internal temporal relations. Temporal inference is relevant for practical NLP applications which either e...
Maria Lapata, Alex Lascarides