Data mining & learning techniques 4 future network knowledge

Project Name: Data mining and learning techniques for future Network knowledge management

Abstract : Autonomic network management in the future networks helps the network operators in reducing the Operational Costs (OPEX) incurred by manually management of the networks by human operators. One of the basic requirements of autonomic networking is awareness of the status of the network, observing the faults and resources and automatically configuring the network based on the information gathered from the system. The auto configuration mentioned above, cannot always be performed based on of the raw information taken from the network, and some techniques such as data mining and learning algorithms are required to prepare the data into a prepared piece of “Knowledge” in the future networks as data mining is a new and powerful technology with the ability and potential used for extracting of analytical and predictive information from huge databases and is widely helpful for companies to focus on the important information in their data warehouses.

this is the abstract of the project. any one interested in it has to generate some scenario and work on it.

Skills: Data Mining, Electrical Engineering

See more: future network data mining, mining operators, mining engineering companies, learning resources, data and algorithms, data algorithms, algorithms data, data mining companies, techniques, project awareness, piece-auto, network configuration, learning, learning system, learning network, future, engineering name, Electrical System , electrical project work, data learning, auto focus, engineering project information system, knowledge information system, information management system knowledge management system, basic engineering project

About the Employer:
( 0 reviews ) Surrey, United Kingdom

Project ID: #1105022

1 freelancer is bidding on average $60 for this job


I'm interested and highly recommend in my [url removed, login to view] [url removed, login to view]

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lets do it

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