"In recent years, data streams analysis has gained a lot of attention due to the growth of applicative fields generating huge amount of temporal data. In this paper we will focus on the clustering of multiple streams. We propose a new strategy which aims at grouping similar streams and, together, at computing summaries of the incoming data. This is performed by means of a divide and conquer approach where a continuously updated graph collects information on incoming data and an off-line partitioning algorithm provides the final clustering structure. An application on real data sets corroborates the effectiveness of the proposal. "
Clustering multiple data streams
BALZANELLA, Antonio;VERDE, Rosanna
2011
Abstract
"In recent years, data streams analysis has gained a lot of attention due to the growth of applicative fields generating huge amount of temporal data. In this paper we will focus on the clustering of multiple streams. We propose a new strategy which aims at grouping similar streams and, together, at computing summaries of the incoming data. This is performed by means of a divide and conquer approach where a continuously updated graph collects information on incoming data and an off-line partitioning algorithm provides the final clustering structure. An application on real data sets corroborates the effectiveness of the proposal. "File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
