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Continually advancing technology has made it feasible to capture data online for onward transmission as a steady flow of newly generated data points, termed as data stream. Continuity and unboundedness of data streams make storage of data and multiple scans of data an impractical proposition for the purpose of knowledge discovery. Need to learn structures(More)
The application of key performance indicators (KPIs) in organizational performance measurement (PM) aims to develop and improve targeted objectives. This will include factors of greatest significance to the organization, yet such targeted objectives are not always achieved due to some prevalence of certain problematic issue. This happens on average because(More)
Recent advances in the development of data parallel platforms have provided a significant thrust to the development of scalable data mining algorithms for analyzing massive data sets that are now commonplace. Scalable clustering is a common data mining task that finds consequential applications in astronomy, biology, social network analysis and commercial(More)
Mining evolving data streams for concept drifts has gained importance in applications like customer behavior analysis, network intrusion detection, credit card fraud detection. Several approaches have been proposed for detection of concept drifts in the context of supervised learning in data streams. Recently, researchers have been looking into the problem(More)
Recent spurt in research related to scalability of data mining algorithms can be attributed to advances in cloud computing technology, which enables data-intensive applications in distributed environment. Map-Reduce has been the most popular programming paradigm for developing applications in large scale distributed environments. In this paper we present(More)
For wireless communication and transmission cognitive radio (CR) is one of the innovative future possibilities. Choosing appropriate modulation waveform for cognitive radio in physical layer and spectrum sensing are the two main issues. In this paper, the most promising modulation plans with their points of interest and drawbacks have been shown.(More)