Banani Saha

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Data quality mining (DQM) is a new and promising data mining approach from the academic and the business point of view. Data quality is important to organizations. People use information attributes as a tool for assessing data quality. The goal of DQM is to employ data mining methods in order to detect, quantify, explain and correct data quality(More)
Wireless channel allocation plays as an important role in thedesign of wireless network, as it greatly influences the throughput and performance of the network. It is proposed a technique to improve the usage of wireless spectrum in the context of IEEE 802.11 wireless network using new channel assignment methods among interfering Access Points (APs).(More)
The major aim of this paper is possible analysis of fraud activities prevalent in the telecommunication industry particularly regarding subscription fraud problems. A state variable model has been designed for analysis. This model is the basis and explains the necessity of profiling customer's details and classifying and slabbing flat security deposits.(More)
Data fusion in today’s context has a huge impact in terms of the cognizance and decision paradigms. The data fusion paradigms are either model based or architecture based. The popular data fusion architectures are Thomopoulos Architecture, Distributed Blackboard Data Fusion Architecture, System-based Data Fusion Architecture, Hierarchical Data Fusion(More)
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