M. S. B. PhridviRaj

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Data is the primary concern in data mining. Data Stream Mining is gaining a lot of practical significance with the huge online data generated from Sensors, Internet Relay Chats, Twitter, Facebook, Online Bank or ATM Transactions. The primary constraint in finding the frequent patterns in data streams is to perform only one time scan of the data with limited(More)
Data is the primary concern in data mining. Data Stream Mining is gaining a lot of practical significance with the huge online data generated from Sensors, Internet Relay Chats, Twitter, Facebook, Online Bank or ATM Transactions. The primary constraint in finding the frequent patterns in data streams is to perform only one time scan of the data with limited(More)
Clustering text data streams is an unsupervised learning process which requires handling data streams. In the current work, we find the pair wise distance between customer transactions using the transaction similarity measure and obtain corresponding pair wise distance matrix. This pair wise distance matrix is then used to cluster the data streams such as(More)
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