Aggregation Query Processing in P2P Networks - Bhimanpallewar, Ratnmala;Metkewar, Pravin
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I.Aggregation Query Processing II.Large Distributed database III.Data Mining Hybrid approach IV.A Novel Sampling Technique. In P2P network when data is distributed over all the peers and we want to execute query within minimum time no any existing algorithm gives proper solution. So a Hybrid Data mining technique is used here for fast and efficient computing. It works mainly in four phases 1. Peer-to-Peer Node Construction 2. Random Selection of Node 3. Selection of Records. 4. Performance Evaluation. Such technique is applicable for real-time applications like E-commerce.

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Produktbeschreibung
I.Aggregation Query Processing II.Large Distributed database III.Data Mining Hybrid approach IV.A Novel Sampling Technique. In P2P network when data is distributed over all the peers and we want to execute query within minimum time no any existing algorithm gives proper solution. So a Hybrid Data mining technique is used here for fast and efficient computing. It works mainly in four phases 1. Peer-to-Peer Node Construction 2. Random Selection of Node 3. Selection of Records. 4. Performance Evaluation. Such technique is applicable for real-time applications like E-commerce.
Autorenporträt
Ms. Ratnmala N. BhimanpallewarM.E.in Computer Engg.,PICT , Pune University. Assistant Professor at VIIT, Pune.specialization: DBMS and Data Mining. Publications: 2 research papers.Dr.Pravin MetkewarPh.D. in computer science,SRT University, Nanded. specialization: Information Systems, Neural networks, OOAD & UML. Publications:16 research papers.