Data Mining

Illustrating recent advances in data mining problems, encompassing both original research results and practical development experiences, this book features the proceedings of the First International Conference on Data Mining. Contributions from academia and industry, covering such diverse areas as machine learning, databases, statistics, knowledge acquisition, data visualization and knowledge-based systems are included.

One requirement of data mining is efficiency and scalability of mining algorithms.
It makes the use of parallelism even more relevant to provide a way of processing
long running tasks in a timely manner. In this context, parallel database ...