Distributed Data Mining is well-understood as a resource-intensive and time-consuming task which is devoted to extract patterns and regularities from huge amounts of distributed data sets. Classical algorithms, mostly developed in the context of centralized environments, have already been proved to be unsuitable to the goal of mining data in distributed settings. This not only due to conceptual and methodological drawbacks but, most importantly, to novel challenges posed by a distributed, resource-intensive, and time-consuming processing as dictated by high-level specifications of distributed Data Mining algorithms.
From these challenges, performance aspects of Distributed Data Mining is now recognized as one of the most attracting topics for the Data Mining research community, even with respect to next-generation computational platforms (e.g., Clouds, Grids, SOA Architectures) and paradigms (e.g., Peer-to-Peer, Map-Reduce, Service-Oriented Computing). Emerging application scenarios like Social Networks play as well the role of interesting contexts that may stimulate further investigation in this field.
In Distributed Data Mining models and algorithms, high-performance is not only an architecture-and-resource oriented matter, but also it involves in designing innovative models, algorithms and techniques capable of dealing, from a side, with the difficulties posed by so-challenging distributed environments and, from the other side, with the conceptual Data Mining tasks codified within Distributed Data Mining algorithms, which may turn to be inherently hard.
With these goals in mind, the special issue "Models and Algorithms for High-Performance Distributed Data Mining" of JPDC will cover theoretical as well as practical aspects of high-performance Data Mining in distribute environments, with emphasis on both sophisticated theoretical-models-and-methodologies and pragmatic algorithms.
Topics of interest for the special issue include but are not limited to the following list:
More information is available at http://si.deis.unical.it/~cuzzocrea/