Developed ABCLASS-Miner Classification Algorithm Based Rule Extraction for Denim Fabrics

Extensions to the Ant-Miner Classification Rule Discovery Algorithm

Destructive Algorithm for Rule Extraction Based on

The present paper introduces a new destructive algorithm for rule extraction based on a trained neural network. The degree of complexity of neural network increases exponentially as a factor of the numbers of input and hidden nodes. Therefore, the dimensionality of the trained neural network is reduced by using a proposed destructive algorithm to extract only the most effective values of the in...

Anomaly Extraction Using Efficient-Web Miner Algorithm

Today network security, uptime and performance of network are important and serious issues in computer network. Anomaly is deviation from normal behaviour affecting network security. Anomaly Extraction is identification of unusual flow from network, which is need of network operator. Anomaly extraction aims to automatically find the inconsistencies in large set of data observed during an anomal...

Rule-Based Medical Content Extraction and Classification

Introduction Processing Results Task Description input data: about 2000 mammography reports from 3 Warsaw hospitals, output data: (for each report) very detailed information concerning:

Rule Extraction Based on Extreme Learning Machine and an Improved Ant-Miner Algorithm for Transient Stability Assessment

In order to overcome the problems of poor understandability of the pattern recognition-based transient stability assessment (PRTSA) methods, a new rule extraction method based on extreme learning machine (ELM) and an improved Ant-miner (IAM) algorithm is presented in this paper. First, the basic principles of ELM and Ant-miner algorithm are respectively introduced. Then, based on the selected o...