Mining data streams: a review

10 years 5 hour ago
Mining data streams: a review
The recent advances in hardware and software have enabled the capture of different measurements of data in a wide range of fields. These measurements are generated continuously and in a very high fluctuating data rates. Examples include sensor networks, web logs, and computer network traffic. The storage, querying and mining of such data sets are highly computationally challenging tasks. Mining data streams is concerned with extracting knowledge structures represented in models and patterns in non stopping streams of information. The research in data stream mining has gained a high attraction due to the importance of its applications and the increasing generation of streaming information. Applications of data stream analysis can vary from critical scientific and astronomical applications to important business and financial ones. Algorithms, systems and frameworks that address streaming challenges have been developed over the past three years. In this review paper, we present the state...
Mohamed Medhat Gaber, Arkady B. Zaslavsky, Shonali
Added 08 Dec 2009
Updated 08 Dec 2009
Type Conference
Year 2005
Authors Mohamed Medhat Gaber, Arkady B. Zaslavsky, Shonali Krishnaswamy
Comments (0)