FUTURE SCOPE

The extension of this work may be taken to test cognitive decision-making IDA in heterogeneous distributed nonrelational database environment.

The limitation of this work and its possible extension may lead to evaluating the multimedia database. For flexibility, if the AODB model is utilizing hnages and video information as base data, the image processing and video streaming algorithms are used as resource objects. Furthermore, it is required to evaluate the manageability of an IDA in the development of a model-based DSS and group DSSs.

Management of a large volume of data in the distributed IDA based on the AODB model is challenging research work for evaluating scalability. Expansion of the AODB model with more number of agents requires work to provide security for agent communication in the model.

KEYWORDS

  • cognitive decision-making
  • intelligent decision support system
  • intelligent agent
  • data warehousing
  • Hadoop
  • predictive analytics
  • machine learning
  • intelligent database agent (IDA)

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