This paper describes our work in learning online models that forecast real-valued variables in a high-dimensional space. A 3GB database was collected by sampling 421 real-valued s...
This paper presents a simple new algorithm that performs k-means clustering in one scan of a dataset, while using a bu er for points from the dataset of xed size. Experiments show...
Knowledge Discovery in Databases (KDD), also known as data mining, focuses on the computerized exploration of large amounts of data and on the discovery of interesting patterns wi...
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...
ract syntax notation ATM asynchronous transfer mode CCETT Centre Commun d’Etudes de Télédiffusion et Télécommunications Davic Digital Audio Visual Council DSMCC Digital Stora...
Marica Echiffre, Claudio Marchisio, Pietro Marchis...