Hierarchical and Partitioning Clustering Algorithms for Detecting Outliers in Data Streams

Provided by: International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)
Topic: Big Data
Format: PDF
The data stream is a new arrival of research area in data mining where as data stream refers to the process of extracting knowledge structures from unlimited and fast growing data records. Future applications involved in data streams are motivated by many researchers involving continuous and massive data sets such as telecommunication system, customer click streams, ecommerce, meteorological data, network monitor, stock market and wireless sensor network. For handling this type of stream data, the recent data mining methods are not sufficient and equipped to deal with them, for this reason it leads to a numerous computational and mining challenges due to shortage of hardware limitations.

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