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Mostrando ítems 1-10 de 11
Capítulo de Libro
Fast Feature Ranking Algorithm
(2003)
The attribute selection techniques for supervised learning, used in the preprocessing phase to emphasize the most relevant attributes, allow making models of classification simpler and easy to understand. The algorithm has ...
Capítulo de Libro
SOAP: Efficient Feature Selection of Numeric Attributes
(2002)
The attribute selection techniques for supervised learning, used in the preprocessing phase to emphasize the most relevant attributes, allow making models of classification simpler and easy to understand. Depending on the ...
Capítulo de Libro
OBLIC: Classification System Using Evolutionary Algorithm
(2001)
We present a new classification system based on Evolutionary Algorithm (EA), OBLIC. This tool is an OBLIque Classification system whose function is to induce a set of classification rules no hierarchical from a database ...
Capítulo de Libro
Clustering Main Concepts from e-Mails
(2003)
E–mail is one of the most common ways to communicate, assuming, in some cases, up to 75% of a company’s communication, in which every employee spends about 90 minutes a day in e–mail tasks such as filing and deleting. This ...
Capítulo de Libro
Time-Series Prediction: Application to the Short-Term Electric Energy Demand
(2003)
This paper describes a time-series prediction method based on the kNN technique. The proposed methodology is applied to the 24-hour load forecasting problem. Also, based on recorded data, an alternative model is developed ...
Capítulo de Libro
Fast Feature Selection by Means of Projections
(2003)
The attribute selection techniques for supervised learning, used in the preprocessing phase to emphasize the most relevant attributes, allow making models of classification simpler and easy to understand. The algorithm ...
Capítulo de Libro
Overload screening of transmission systems using neural networks
(1998)
The process of determining whether a power system is in a secure or insecure state is a crucial task which must be addressed on-line in any Energy Management System. In this paper, an Artificial Neural Network, capable of ...
Capítulo de Libro
NLC: A Measure Based on Projections
(2003)
In this paper, we propose a new feature selection criterion. It is based on the projections of data set elements onto each attribute. The main advantages are its speed and simplicity in the evaluation of the attributes. ...
Capítulo de Libro
Non-parametric Nearest Neighbor with Local Adaptation
(2001)
The k-Nearest Neighbor algorithm (k-NN) uses a classification criterion that depends on the parameter k. Usually, the value of this parameter must be determined by the user. In this paper we present an algorithm based on ...
Capítulo de Libro
A Comparison of Two Techniques for Next- Day Electricity Price Forecasting
(2002)
In the framework of competitive markets, the market’s participants need energy price forecasts in order to determine their optimal bidding strategies and maximize their benefits. Therefore, if generation companies have a ...