With increasing complexity of manufacturing processes, the volume of data that has to be evaluated rises accordingly. The complexity and data volume make any kind of manual data a...
Peter Benjamin Volk, Martin Hahmann, Dirk Habich, ...
Being the client's first interface, call centres worldwide contain a huge amount of information of all kind under the form of conversational speech. If accessible, this infor...
Martine Garnier-Rizet, Gilles Adda, Frederik Caill...
In mobile commerce, short-message-service (SMS) is an important technique for delivering payment instruction. A payment model "SMS Credit" was proposed earlier [1]. Such...
In this paper we: introduce EMADS, the Extendible Multi-Agent Data mining System, to support the dynamic creation of communities of data mining agents; explore the capabilities of ...
Time series analysis is a wide area of knowledge that studies processes in their evolution. The classical research in the area tends to find global laws underlying the behaviour o...
Nowadays, data mining is based on low-level speci cations of the employed techniques typically bounded to a speci c analysis platform. Therefore, data mining lacks a modelling arc...
In the last years there has been a huge growth and consolidation of the Data Mining field. Some efforts are being done that seek the establishment of standards in the area. Includ...
Business applications of data mining in marketing often focus on use of predictive models to classify customer events such as acquisition, sales of products and services or custom...
Data mining has emerged to address the problem of transforming data into useful knowledge. Although most data mining techniques, such as Association Rules, substantially reduce th...
Many tools for data mining are complex and require skills and experience to be used successfully. Therefore, data mining is often considered an art as much as science. This paper p...