Biplab Kumer Sarker

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A tremendous growing interest in finding dependency among patterns has been developing in the domain of time series data mining. Researchers have been considering time series data that occurs in the science and business endeavors such as: prices of stocks, the data of a intensive care unit, data flowing from a robot's sensor, human motion data etc. It is(More)
Our weighted-tree similarity algorithm matches buyers and sellers in e-Business environments. We use arc-labeled, arc-weighted trees to represent the products (or services) sought/offered by buyers/sellers. Partial product descriptions can be represented via subtrees missing in either or both of the trees. In order to take into account the effect of a(More)
Ontology is a fundamental data object for organizing knowledge in a structured way in many areas ranging from philosophy to Knowledge Management. Knowledge capture, knowledge integration and knowledge delivery are the essential parts of dynamic knowledge management. E-Learning is considered to be an integral part of knowledge delivery system. Information(More)
A Distributed Computing System (DCS) comprising networked heterogeneous processors requires efficient tasks to processor allocation to achieve minimum turnaround time and highest possible throughput. Task allocation in DCS remains an important and relevant problem attracting the attention of researchers in the discipline. A good number of task allocation(More)
• Mining association rules from multi­stream data has received a lot of attention to the data mining community. • It is quite effective and useful to discover such rules. Abstract • The challenge: Discovering these rules is a very time consuming and expensive when we are mining them from enormous time ordered real valued continuous data sets. Abstract •(More)
Price is the omnipresent factor that determines buyers' and sellers' decision-making when trading products in real and virtual marketplaces. However , since a fixed price can often lead to unsuccessful transactions, in practice market players normally have price ranges in their minds, which imply some concessions when finding potential buyer-seller matches.(More)
A Distributed Computing Systems (DCS) calls for proper partitioning of tasks into modules and allocating them to various nodes so as to enable parallel execution of their modules by individual different processors of the system. A number of algorithms have been proposed for allocation of tasks in a Distributed Computing System. Most of the models proposed(More)