Data Mining Techniques in Parallel and Distributed Environment- A Comprehensive Survey

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Provided by: International Journal of Emerging Technology and Advanced Engineering (IJETAE)
Topic: Big Data
Format: PDF
Distributed sources of voluminous data have raised the need of distributed data mining. Conventional data mining techniques works well on structured data which is clean, pre-processed and properly arranged either in the form of structured files, databases or data warehouse. These techniques are based upon centralized data store however they have several limitations in distributed scenario where the data is scattered in different geographical locations on data servers all across the network. It becomes a costly affair to accumulate huge data on a centralized node in real time. To overcome these limitations, application of distributed data mining techniques has become essential.
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