Adaptive Stream Mining Based on Rate Control Algorithms

Wireless data sharing is the term that facilitates effective and ubiquitous wireless access and affordable mobile devices, so much of the internet applications are assessed in this context. For doing this facilitate effectively traditionally so much of techniques were introduced in recent application development process. Increase of the mobile devices network applications in streaming of this application development may occurs presently in the formulated data assessment. To satisfy growing demand of the streaming in mobile device networks traditionally propose cloud based data streaming system applications for accessing services with real time and other application development in data stream mining in real time applications. Time delay is the factor in recent cloud applications, to address this event in developed applications, in this paper we propose to develop Optimized algorithm for adaptive dynamic stream mining to the available network throughput and network performance. Our experimental results show efficient communication in dynamic video stream mining with relative and realistic data events present in the network process.