Spatial data mining is a process used to discover interesting but not explicitly available, highly usable patterns embedded in both spatial and nonspatial data, which are possibly ...
Abstract. Recent research has suggested that there is no general similarity measure, which can be applied on arbitrary databases without any parameterization. Hence, the optimal co...
High-throughput proteome annotation refers to the activity of extracting information from all proteins in a particular organism using bioinformatics software on a high performance ...
Atif Shahab, Danny Chuon, Toyotaro Suzumura, Wilfr...
Customer Relationship Management (CRM) is critical to the success of a business. Recent work in CRM has focused on the mining of customer-related data and the construction of cust...
Dickson K. W. Chiu, Wesley C. W. Chan, Gary K. W. ...
With the current trend in integration of more complex systems on chip there is a need for better communication infrastructure on chip that will increase the available bandwidth an...