In this work we look at combining emerging technologies in programming languages with traditional query processing techniques to provide support for efficient execution of declarat...
When a partitional structure is derived from a data set using a data mining algorithm, it is not unusual to have a different set of outcomes when it runs with a different order of...
Abstract. We describe a scalable parallel implementation of the self organizing map (SOM) suitable for datamining applications involving clustering or segmentation against large da...
Richard D. Lawrence, George S. Almasi, Holly E. Ru...
In fall of 2004, we met Jim Gray and began to converse about the data needs of ocean scientists. The conversations ultimately led to the development of a unique portal for explori...
Statistical machine learning techniques have recently garnered increased popularity as a means to improve network design and security. For intrusion detection, such methods build ...
Benjamin I. P. Rubinstein, Blaine Nelson, Ling Hua...