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Some top data mining algorithms, as ensemble classifiers, may be inefficient to very large data set. This paper makes an initial proposal of a distributed ensemble classifier algorithm based on the popular Random Forests for Big Data. The proposed algorithm aims to improve the efficiency of the algorithm by a distributed processing model called MapReduce. At the same time, our proposed algorithm aims...
Project management is an important aspect of global software development. Companies and institutions can obtain benefits by the use of performance evaluation of teams working indifferent sites. The objective of this work is to discuss a stochastic model definition to performance evaluation of Follow-The-Sun (FTS) projects.
Stochastic modeling of globally distributed projects has become a way to evaluate the performance of teams working in different time zones. The interest in extracting and analyzing quantitative data from geographically dispersed teams has grown throughout the years as major development companies were attracted by potential benefits. We direct our attention to Follow-The-Sun (FTS), a special case of...
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