A Framework for High Performance and Strict Privacy Preserving Data Mining Algorithms

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Provided by: International Journal of Advanced Technology in Engineering and Science (IJATES)
Topic: Data Management
Format: PDF
The data collection and analysis has seen an unprecedented growth in the last couple of decades due to the advancements in use of technology. Many organizations and individuals generate huge amount of data through everyday activities. The generated data is either centralized for pattern identification or mined in a distributed fashion for efficient knowledge discovery and collaborative computation. This raises serious concerns about privacy issues. The data mining community has responded to this challenge by developing a new variety of algorithms that are privacy preserving.
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