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AIPS
2008
15 years 8 months ago
Planning for Modular Printers: Beyond Productivity
This paper reports our experience extending an on-line printer controller based on AI planning to handle two significant features of this commercially important domain: execution ...
Minh Binh Do, Wheeler Ruml, Rong Zhou
MICAI
2004
Springer
15 years 11 months ago
Extracting Temporal Patterns from Time Series Data Bases for Prediction of Electrical Demand
In this paper we present a technique for prediction of electrical demand based on multiple models. The multiple models are composed by several local models, each one describing a r...
J. Jesus Rico Melgoza, Juan J. Flores, Constantino...
IMSCCS
2006
IEEE
16 years 7 days ago
Identification of New Members of Hydrophobin Family Using Primary Structure Analysis
Background: Hydrophobins are fungal proteins that can turn into amphipathic membranes at hydrophilic/hydrophobic interfaces by self-assembly. The assemblages by Class I hydrophobi...
Kuan Yang, Youping Deng, Chaoyang Zhang, Mohamed O...
KDD
1994
ACM
118views Data Mining» more  KDD 1994»
15 years 10 months ago
Discovering Informative Patterns and Data Cleaning
Wepresent a methodfor discovering informative patterns from data. With this method,large databases can be reducedto only a few representative data entries. Ourframeworkencompasses...
Isabelle Guyon, Nada Matic, Vladimir Vapnik
PKDD
1998
Springer
123views Data Mining» more  PKDD 1998»
15 years 10 months ago
Querying Inductive Databases: A Case Study on the MINE RULE Operator
Knowledge discovery in databases (KDD) is a process that can include steps like forming the data set, data transformations, discovery of patterns, searching for exceptions to a pat...
Jean-François Boulicaut, Mika Klemettinen, ...