Abstract. A new constrained model is discussed as a way of incorporating efficiently a priori expert knowledge into a clustering problem of a given individual set. The first innova...
: Temporal data mining is concerned with the analysis of temporal data and finding temporal patterns, regularities, trends, clusters in sets of temporal data. Wavelet transform pro...
Binary factor analysis (BFA, also known as Boolean Factor Analysis) is a nonhierarchical analysis of binary data, based on reduction of binary space dimension. It allows us to find...
In itself, the continuous exponential increase of the data-warehouses size does not necessarily lead to a richer and finer-grained information since the processing capabilities d...
Abstract. This paper describes an approach to identifying and comparing frequent pattern trends in social networks. A frequent pattern trend is defined as a sequence of time-stampe...
Puteri N. E. Nohuddin, Rob Christley, Frans Coenen...