Classification of time series has been attracting great interest over the past decade. Recent empirical evidence has strongly suggested that the simple nearest neighbor algorithm ...
This paper presents a fast and robust algorithm for extracting significant places from a set of raw GPS data points. Determining such places provides valuable context information ...
Gabriel Agamennoni, Juan Nieto, Eduardo Mario Nebo...
In the paper we demonstrate how evolutionary search for functional optima can be used as a vehicle for data mining. That is, in the process of searching for optima in a multi-dime...
Classification is an important problem in the field of data mining. Construction of good classifiers is computationally intensive and offers plenty of scope for parallelization. D...
As grid computation systems become larger and more complex, manually diagnosing failures in jobs becomes impractical. Recently, machine-learning techniques have been proposed to d...