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Capítulo de Libro
Visualization techniques of management rules for software development projects
(2003)
The application of data mining techniques to the managing of software development projects (SDP) is not an uncommon phenomenon, as in any other productive process that generates information in the way of input data and ...
Capítulo de Libro
Empirical Evaluation of the Difficulty of Finding a Good Value of k for the Nearest Neighbor
(2003)
As an analysis of the classification accuracy bound for the Nearest Neighbor technique, in this work we have studied if it is possible to find a good value of the parmeter k for each example according to their attribute ...
Capítulo de Libro
Mining Low Dimensionality Data Streams of Continuous Attributes
(2003)
This paper presents an incremental and scalable learning algorithm in order to mine numeric, low dimensionality, high–cardinality, time–changing data streams. Within the Supervised Learning field, our approach, named ...
Capítulo de Libro
Data streams classification by incremental rule learning with parameterized generalization
(2006)
Mining data streams is a challenging task that requires online systems based on incremental learning approaches. This paper describes a classification system based on decision rules that may store up--to--date border ...
Capítulo de Libro
Multidimensional Data Visual Exploration by Interactive Information Segments
(2004)
Visualization techniques provide an outstanding role in KDD process for data analysis and mining. However, one image does not always convey successfully the inherent information from high dimensionality, very large databases. ...
Capítulo de Libro
Discovering decision rules from numerical data streams
(2004)
This paper presents a scalable learning algorithm to classify numerical, low dimensionality, high-cardinality, time-changing data streams. Our approach, named SCALLOP, provides a set of decision rules on demand which ...
Capítulo de Libro
A Two Stage Zone Regression Method for Global Characterization of a Project Database
(Idea Group Pub., 2007)
One of the problems found in generic project databases, where the data is collected from different organizations, is the large disparity of its instances. In this chapter, we characterize the database selecting both ...
Capítulo de Libro
Incremental rule learning based on example nearness from numerical data streams
(2005)
Mining data streams is a challenging task that requires online systems based on incremental learning approaches. This paper describes a classification system based on decision rules that may store up-to-date border examples ...
Capítulo de Libro
Estimación y toma de decisiones mediante Minería de Datos
(Netlibros S.L., 2007)
En este capítulo se describen diversas técnicas de Minería de Datos que muestran la utilidad de las mismas para la extracción de conocimiento en proyectos de desarrollo del Software. En concreto, se describen las tres fases ...
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 ...