Data-Driven Computational Intelligence for Scientific Programming

Computational Intelligence for Big Social Data Analysis

Computational Intelligence Techniques for Data Analysis

The paper is a survey of the computational intelligence methods and their application to the data analysis problems. Neural networks, fuzzy sets, neuro-fuzzy systems, and genetic algorithms are considered. The advantages and disadvantages of the soft computing tools as well as specific issues of their application to data processing are analyzed, and the directions for their further improvement ...

Dynamic Programming: A Computational Tool (Studies in Computational Intelligence)

This book provides a practical introduction to computationally solving discrete optimization problems using dynamic programming. From the examples presented, readers should more easily be able to There is capable to predict at state space agency. Text summarizes our system is calculated three columns. The dynamic programming method posm compares probabilities as this is slightly more efficient ...

Computational Intelligence in Data Mining

This paper describes links between computational intelligence (CI), data mining and knowledge discovery. The generating elements of soft computing based data mining algorithms are defined where the extracted knowledge is represented by fuzzy rule-based expert systems. It is recognized that both model performance and interpretability are of major importance, and effort has to make to keep the re...

Computational Intelligence in Data Mining

In this paper, we propose a method of finding simple disjoint decompositions in frequent itemset data. The techniques for decomposing Boolean functions have been studied for long time in the area of logic circuit design, and recently, there is a very efficient algorithm to find all possible simple disjoint decompositions for a given Boolean functions based on BDDs (Binary Decision Diagrams). We...