An Approach: Combining Clustering and Classification for Handling DataStream

Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Data Management
Format: PDF
Traditional databases have been used in applications that require static data storage and comprise complex querying. But, now-a-days due to increase in use of Internet a huge continuously changing data is generated every day. This dynamically changing data are nothing but the data stream. They are unbounded, continuous usually come with high speed and have a data distribution that often changes with time. It has different issues such as memory management, timeline query and many more. Handling such issues is very necessary. There is need of handling data streams because data stream may be labeled or it may be unlabelled. Classification is supervised it can only handle labeled data.

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