An Insight to Data Stream Mining and other Emerging Learning Algorithms (original) (raw)

Significant advancements have been made in the field of data mining and knowledge discovery. But there is no universal algorithm that can be dynamic enough to extract information from a continuous data stream or from a large stored dataset. A combination of algorithms has to work cohesively in order for the system to yield accurate and timely results according to user specifications. Algorithms are expected to be fast, accurate and visually informative to the user. We have tried to analyse the most effective and recent algorithms and techniques which have been developed to mine information from different data sources. We project our insight on the working of these algorithms and elicit possible loopholes and limitations.