This paper review some state-of-the art non-parallel and parallel approaches of data clustering and present the usefulness of parallel genetic algorithms (PGAs) for clustering. In solving the clustering problem many traditional methods stuck in local optimal solutions. Further, in such...

Online analytical processing (OLAP) queries normally incur enormous processing overheads due to the huge size of data warehouses. This results in unacceptable response times. Parallel processing using a cluster of workstations has of late emerged as a practical solution to many compute and data...

Cash forecasting is one of the important tasks in the domain of computational finance. A number of tools have been developed by various groups of researchers and are being used by banks or corporate to identify future cash needs. However, due to the high degree of non-linearity of the problem...

In this paper, we attempt to solve the Multiple Campaign Assignment Problem (MCAP) using the Differential Evolution (DE) technique. We believe that the solution of MCAP can enhance business growth and consequently enhances the e-readiness ranking of a country. Multiple campaign assignment is a...

In this paper, we attempt to solve the Multiple Campaign Assignment Problem (MCAP) using the Differential Evolution (DE) technique. We believe that the solution of MCAP can enhance business growth and consequently enhances the e-readiness ranking of a country. Multiple campaign assignment is a...

This paper offers a brief review and analysis of potential indicators in stock index prediction and discusses the current state-of-the-art research. Forecasting price movements in the stock market has been a major challenge for common investors, businesses, brokers, and speculators. With the...

In the visual data mining, visualization of clusters is a challenging task. Although lots of techniques already have been developed, the challenges still remain to represent large volume of data with multiple dimension and overlapped clusters. In this paper, a multivariate clusters visualization...