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What is Stream Data Processing Methodologies about?

The document outlines various methodologies for stream data processing in data mining, including the Sliding Window Model, Synopsis Data Structures, and Approximate Algorithms. It discusses techniques for incremental learning, frequent pattern mining, change detection, and time series stream mining, along with frameworks like Apache Storm and Spark Streaming. These methodologies aim to efficiently handle and analyze data streams while preserving essential features and enabling real-time insights.

Author

arpisaha.cse.23

Language

EN