WIT Press


Data Mining In Temporal Sequences: A Technique Based On MC

Price

Free (open access)

Paper DOI

10.2495/DATA000281

Volume

25

Pages

10

Published

2000

Size

943 kb

Author(s)

S. Massa & P.P. Puliafito

Abstract

Data Mining is a new research area that develops techniques for knowledge discovery in massive amounts of data. The way such data are collected and modeled is quite important to define which kind of knowledge could be investigated and consequently to develop proper methods. One of the most investigated topics in data mining is the discovery of knowledge about data organized as temporal sequences. This work proposes a new modeling technique to mine information from data that are expressed in the form of temporal sequences of events associated to entities. In particular such a technique aims at extracting non-evident behavioral patterns from data in order to identify different classes of entities in the considered population. In order to represent the behavior of the entities, a Markov cha

Keywords