Data mining – past, present and future – a typical survey on data streams

Abstract

Data Stream Mining is one of the area gaining lot of practical significance and is progressing at a brisk pace with new methods,

methodologies and findings in various applications related to medicine, computer science, bioinformatics and stock market

prediction, weather forecast, text, audio and video processing to name a few. Data happens to be the key concern in data mining.

With the huge online data generated from several sensors, Internet Relay Chats, Twitter, Face book, Online Bank or ATM

Transactions, the concept of dynamically changing data is becoming a key challenge, what we call as data streams. In this paper,

we give the algorithm for finding frequent patterns from data streams with a case study and identify the research issues in

handling data streams

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