A Review on Multisource Data Analysis using soft computing Techniques

Nowadays, there arise a tremendous increase in the amount of data or we can say the data coming from multiple sources gather to form huge data. There are various techniques used in soft computing for Multi-Source Data analysis and its technological advancements. This paper, describes an overview of multisource data analytics, its application, advantages, and limitations and few models have reviewed with their objective, merits and so on. Moreover, there are various issues in existing storage techniques and improvements in technology. Since the existing and traditional technologies have their own issues to manage huge data, so advance technologies have been derived to manage them and to derive useful insights. Further, few research issues and future directives are presented in this paper.

• Publication year

  2018

• Venue

  International Conference on Computing, Communication and Automation

• Publication date

  2018-12-01

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1109/CCAA.2018.8777551
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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