Risk Analysis Technique on Inconsistent Interview Big Data Based on Rough Set Approach

Dominance-based Rough Set Approach Data Analysis Framework

A Swarm-based Rough Set Approach for Fmri Data Analysis

The functional Magnetic Resonance Imaging (fMRI) is one of the most important tools for exploring the operation of the brain as it allows the spatially localized characteristics of brain activity to be observed. However, fMRI studies generate huge volumes of data and the signals of interest have low signal to noise ratio making its analysis a very challenging problem. There is a growing need fo...

Extension Data Mining Based on Extension Set and Rough Set

Data mining has gained popularity in the database field recently, the gained knowledge is static because of the static nature of the database, and does not reflect the dynamic nature of knowledge. Extension data mining is a product combining Extenics with data mining, By using the theory and method of Extenics, it can mine the knowledge from database which is relative to solve contradictory pro...

Rough set data analysis

“Our claim is that knowledge is deep–seated in the classificatory abilities of human beings and other species. For example, knowledge about the environment is primarily manifested as an ability to classify a variety of situations from the point of view of survival in the real world : : : Classification on more abstract levels, seems to be a key issue in reasoning, learning and decision making, ...

A Survey on Parallel Rough Set Based Knowledge Acquisition Using MapReduce from Big Data

Nowadays, the volume of data is growing at an nprecedented rate, big data mining , and knowledge discovery have become a new challenge in the era of data mining and machine learning. Rough set theory for knowledge acquisition has been successfully applied in data mining. The MapReduce technique, received more attention from scientific community as well as industry for its applicability in big d...