Data Miming System Design and Realization Based on Web Service

Liang Hu; Yue Huang

doi:10.4028/www.scientific.net/AMM.687-691.2821

Paper Titles

Construction and Application of Interactive Network Learning Platform in Information Age
p.2805

Design of the Online Stereo Resources Platform
p.2809

Research on the Application of the BP Neural Network
p.2813

Research on Key Techniques of Educational Administration Cloud Service Based on SOA and SaaS
p.2817

Data Miming System Design and Realization Based on Web Service
p.2821

Key Techniques and Implementation of Heterogeneous Financial Data Integration
p.2825

Research on Information Management of Sports Archives Based on Multimedia Technology and Network Technology
p.2829

Research on the Design and Implementation of Student Information Management System
p.2833

Research on Application Computer Technology in Project Management
p.2837

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 687-691Data Miming System Design and Realization Based on...

Data Miming System Design and Realization Based on Web Service

Abstract:

Data mining (DM) is also called knowledge discovery in database, which is a complicated process in which unknown and valuable knowledge like modes or laws are excavated from lots of data stored in database, data warehouse or other information bases. Web service is an emerging service-oriented technology. It can publish description about how to transfer its own functions / services to the outside and return information to clients needing it automatically via URL. The Web-based DM system studied in this thesis realizes DM process via a series of Web service. This method not only overcomes the problem that existing DM system has poor expansibility but also can adapt to variety and dynamic nature of client request better.

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Periodical:

Applied Mechanics and Materials (Volumes 687-691)

Pages:

2821-2824

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.687-691.2821

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Online since:

November 2014

Authors:

Liang Hu, Yue Huang

Keywords:

Data Mining (DM), Mining Engine, SOA, Web Service

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