This work investigates the accuracy and efficiency tradeoffs between centralized and collective (distributed) algorithms for (i) sampling, and (ii) n-way data analysis techniques i...
In September 2004 the Italian Ministry of Cultural Heritage and Activities (MiBAC) committed to Scuola Normale Superiore di Pisa (SNS) the scientific and technical project for the...
Irene Buonazia, Maria Emilia Masci, Davide Merlitt...
Distance function computation is a key subtask in many data mining algorithms and applications. The most effective form of the distance function can only be expressed in the conte...
Decision trees are among the most popular pattern types in data mining due to their intuitive representation. However, little attention has been given on the definition of measure...
Feature selection algorithms can reduce the high dimensionality of textual cases and increase case-based task performance. However, conventional algorithms (e.g., information gain)...