EFFICIENT INFORMATION MAINTENANCE USING COMPUTATIONAL INTELLIGENCE IN THE MULTI-CLOUD ARCHITECTURE

Computational Intelligence in Multi-source Data and Information Fusion1

The Computational Theory of Intelligence: Information Entropy

This paper presents an information theoretic approach to the concept of intelligence in the computational sense. We introduce a probabilistic framework from which computational intelligence is shown to be an entropy minimizing process at the local level. Using this new scheme, we develop a simple data driven clustering example and discuss its applications.

Multi-objective Model Predictive Optimization using Computational Intelligence

In many engineering design problems, the explicit function form of objectives/constraints can not be given in terms of design variables. Given the value of design variables, under this circumstance, the value of those functions is obtained by some simulation analysis or experiments, which are often expensive in practice. In order to make the number of analyses as few as possible, techniques for...

Query Architecture Expansion in Web Using Fuzzy Multi Domain Ontology

Due to the increasing web, there are many challenges to establish a general framework for data mining and retrieving structured data from the Web. Creating an ontology is a step towards solving this problem. The ontology raises the main entity and the concept of any data in data mining. In this paper, we tried to propose a method for applying the "meaning" of the search system, But the problem ...

Enhanced Efficient Information Sharing in Cloud Environment Using Eera

Nowadays, Information storage and access through cloud network is becoming an economical alternative for delivery of traditional content. Mostly the content delivery is based on the moderate-size content providers. In Hybrid cloud network the services are be a subjected to momentous popularity increase due to its strategies and its performance of resources access. For optimization problem in cl...