ResearchBib Share Your Research, Maximize Your Social Impacts
Sign for Notice Everyday Sign up >> Login


Proceeding: The Fourth International Conference on e-Learning (ICEL)

Publication Date:

Authors : ;

Page : 194-199

Keywords : Digital libraries; Distributed data mining; Peer-to-peer; Factor analysis; Correspondence analysis.;

Source : Downloadexternal Find it from : Google Scholarexternal


Distributed data mining (DDM) consists of mining data using distributed resources. DDM has emerged as a hot research area. Careful attention in the usage of distributed resources of data, computing, communication, storage and human factors in a near optimal fashion are paid by DDM. DDM is gaining attention in Peer-to-peer (P2P) systems which are emerging as a new distributed computing paradigm for many novel applications that involve connecting nodes via largely ad hoc connections without central coordinator. The main intention of this paper is to prove that P2P data mining applications may play a key role in the next generation of digital libraries. P2P data mining is, in fact, well-suited to overcome intrinsic problems of digital libraries: storage limitation, performance, relevancy, decentralization, lack of semantic, fault tolerance, scalability. This article illustrates also an example of application of P2P data mining in the field of digital libraries.

Last modified: 2013-07-12 19:55:44