An alternative to this parallel and distributed organization is the use of an incremental learning algorithm in a sequential schema. We propose an incremental algorithm to learn fuzzy classification ...

We then show how to parallelize this incremental algorithm. We also propose a distributed asynchronous algorithm, which imposes minimal communication overhead for mining distributed dynamic datasets.

Parallel or incremental versions of an algorithm can significantly outperform their counterparts, but are often difficult to develop. Programming models that provide appropriate abstractions to ...

It was shown that in processing ACQs it is beneficial to use incremental evaluation ... He is currently the Special Issues Coordinator for the Distributed and Parallel Databases Journal and a Program ...

Grouped aggregation is a core primitive of many distributed programming models, and it is often the most efficient available mechanism for computations such as matrix multiplication and graph ...