Sequential pattern mining (SPM) is a well‐studied theme in data mining, in which one aims
to discover common sequences of item sets in a large corpus of temporal itemset data. Due …

Supporting sequential pattern mining from data streams is nowadays a relevant problem in
the area of data stream mining research. Actual proposals available in the literature are …

Nowadays, the decision on the training plans that lead to the best performance in the
competitions are mostly based on the expert knowledge of the team coach. Recent …

Cities have been growing ever larger especially in the most recent decades. As
neighborhoods and boundaries of cities are expanding, the resident-service related …

In this paper we introduce a technique for the synthetic generation of memory references
which behave as those generated by given running programs. Our approach is based on a …

Time decay model (TDM) is frequently used for mining frequent patterns on data streams,
because the information embedded in the data from the new transactions is particularly …