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Bimonthly Since 1986 |
ISSN 1004-9037
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Publication Details |
Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
Distributed by:
China: All Local Post Offices
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Abstract
Community networks are used to analyse large social media datasets. Small and large businesses benefit from social media. Share markets are user-sellers who represent companies over product ownership. The public network shares any one product to fill the stock exchange, sale, draw, and incomplete as well as product swapped every user private amount share in user. Many want to grow their companies online. Internet-based life approach to business-created free service. Web application-based live data storage with online social networking services like Gmail, Yahoo, Facebook, Twitter, LinkedIn, etc. This social network allows users to communicate voice, video, message, data, and photos with common friends. Internally produced software or applications. Software uses separate source code on many pages. Social network add may manufacture items based on user preferences and internship and visit the most current online application received by individuals in general. Social apps have made online life more flexible. In this present paper we used the combination of MASN and KNN based malicious activity detection in the social networking.
Keyword
data-visualization big data; networks; NOSQL; social-media; parallel processing;
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