Affordable Supercomputing for Data Mining Applications

Affordable Supercomputing Solutions: Cluster Computers: In Business Applications

Businesses need fast computing environments to quickly process the voluminous transactions and to respond to market requirements. Most companies cannot afford the cost of a supercomputer. As an experimental design, the authors have developed a cluster-computing project at their institution, to expose business students to the process of building and operating a cluster computer for use in superc...

A Systematic Review of Data Mining Applications in Digital Libraries

Purpose: Study aimed to identify the applications of data mining in the provision of services, collection and management of digital libraries. Methodology: This is an applied study in terms of purpose and in terms of method is qualitative research that have been done by systematic review method. For this purpose, articles have been obtained by searching databases of Springer, Emerald, ProQuest,...

Data Mining for Financial Applications

This chapter describes data mining in finance by discussing financial tasks, specifics of methodologies and techniques in this data mining area. It includes time dependence, data selection, forecast horizon, measures of success, quality of patterns, hypothesis evaluation, problem ID, method profile, attribute-based and relational methodologies. The second part of the chapter discusses data mini...

Data Mining For Space Applications

Data Mining for Security Applications

This is a summary of discussions at Workshop on Data Mining for Security Applications CCS’01, PA. In this document data mining takes a broad meaning which may, sometimes, include machine learning (ML) and artificial intelligence (AI). Furthermore, forensics and intrusion detection are interchangeable in some contexts. Please note it is beyond the scope of our discussions to provide better defin...