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» Unification of Temporal Data Models
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ICDM
2002
IEEE
156views Data Mining» more  ICDM 2002»
14 years 1 months ago
Predicting Rare Events In Temporal Domains
Temporal data mining aims at finding patterns in historical data. Our work proposes an approach to extract temporal patterns from data to predict the occurrence of target events,...
Ricardo Vilalta, Sheng Ma
NECO
2000
133views more  NECO 2000»
13 years 8 months ago
Neural Coding: Higher-Order Temporal Patterns in the Neurostatistics of Cell Assemblies
Recent advances in the technology of multi-unit recordings make it possible to test Hebb's hypothesis that neurons do not function in isolation but are organized in assemblie...
Laura Martignon, Gustavo Deco, Kathryn B. Laskey, ...
GFKL
2006
Springer
78views Data Mining» more  GFKL 2006»
14 years 3 days ago
Putting Successor Variety Stemming to Work
Stemming algorithms find canonical forms for inflected words, e. g. for declined nouns or conjugated verbs. Since such a unification of words with respect to gender, number, time, ...
Benno Stein, Martin Potthast
CAISE
1998
Springer
14 years 20 days ago
OMS/Java: Model Extensibility of OODBMS for Advanced Application Domains
We show how model extensibility of object-oriented data management systems can be achieved through the combination of a highlevel core object data model and an architecture designe...
Andreas Steiner, Adrian Kobler, Moira C. Norrie
JMLR
2010
103views more  JMLR 2010»
13 years 3 months ago
Learning Nonlinear Dynamic Models from Non-sequenced Data
Virtually all methods of learning dynamic systems from data start from the same basic assumption: the learning algorithm will be given a sequence of data generated from the dynami...
Tzu-Kuo Huang, Le Song, Jeff Schneider