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MICAI
2004
Springer
14 years 25 days 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...
PREMI
2007
Springer
14 years 1 months ago
Discovery of Process Models from Data and Domain Knowledge: A Rough-Granular Approach
The rapid expansion of the Internet has resulted not only in the ever-growing amount of data stored therein, but also in the burgeoning complexity of the concepts and phenomena per...
Andrzej Skowron
IJCSS
2000
98views more  IJCSS 2000»
13 years 7 months ago
The generative topographic mapping as a principal model for data visualization and market segmentation: an electronic commerce c
The process of extracting knowledge from data involves the discovery of patterns of interest which may be implicit, for instance, in speci
Alfredo Vellido, Paulo J. G. Lisboa, Karon Meehan
KR
2004
Springer
14 years 25 days ago
Knowledge Discovery by Reversing Inductive Knowledge Representation
In a very basic sense, the aim of knowledge discovery is to reveal structures of knowledge which can be seen as being represented by structural relationships. In this paper, we ma...
Gabriele Kern-Isberner, Jens Fisseler
CLEIEJ
2004
168views more  CLEIEJ 2004»
13 years 7 months ago
Contributions of KDD to the Knowledge Management Process: a Case Study
Knowledge Discovery in Databases (KDD), as any organizational process, is carried out beneath a Knowledge Management (KM) model adopted (even informally) by a corporation. KDD is ...
Paulo de Tarso Costa de Sousa, Hércules Ant...