Clustering has gained widespread use, especially for static data. However, the rapid growth of spatio-temporal data from numerous instruments, such as earth-orbiting satellites, has created a need for spatio-temporal clustering methods to extract and monitor dynamic clusters. Dynamic spatiotemporal clustering faces two major challenges: First, the clusters are dynamic and may change in size, sh...

We deal with dynamic information organization for more efficient Internet browsing. As the appropriate algorithm for this purpose, we propose modified ART (artificial resonance theory) algorithm, which functions similarly with the dynamic Star-clustering algorithm but performs a more efficient time complexity of O(nk), (k << n) instead of O(n2log2n) found in the dynamic Star-clustering algorith...

This paper examines the performance of a new Dynamic Resource Allocation (DRA) Strategy for a 3G Hierarchical Cellular Structure (HCS). With rising demands on wireless communication systems there is a need to improve the resource utilisation of mobile network. This can be achieved with the implementation of HCS along with a suitable self-adaptive DRA strategy. The main focus of attention is to ...

---------------------------------------------------------------------***--------------------------------------------------------------------Abstract In the field of information processing like data mining, information retrieval, natural language processing and machine learning, Quantum Computing play vital role for extracting the implicit, potentially useful and previously unknown information f...