| Publisher | University of Maryland | ||
|---|---|---|---|
| Format | 120.4KB PDF | Date added | 05 Apr 2007 |
| Topics | Software Engineering, Data Mining - Analysis, Network Design | ||
| Downloads | 89 | ||
Peer-to-Peer (P2P) networks are gaining increasing popularity in many distributed applications such as file-sharing, network storage, web caching, searching and indexing of relevant documents and P2P network-threat analysis. Many of these applications require scalable analysis of data over a P2P network. This paper offers a brief overview of distributed data mining applications and algorithms for P2P environments. It also discusses some of the privacy concerns with P2P data mining and points out the problems of existing privacy-preserving multi-party data mining techniques. It further points out that most of the nice assumptions of this existing privacy preserving techniques fall apart in real-life applications of Privacy-Preserving Distributed Data Mining (PPDM).
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