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Web 2.0 enabled users to share their experiences, views, and opinions. One of the key products of Web 2.0 is Twitter, a social media site with hundreds of millions of users. These users tweet whatever they want to share with other people. The aim of this paper is to classify the tweets into subjective and objective tweets. We group words people use in Twitter into objective and subjective words, creating...
Data classification is an important branch of data mining and there are different methods for its implementation. Neural networks are one of the best ways for classification in machine learning. Structure and weights of neural network are most important in their precision. In recent years, due to the defects in gradient-based search algorithms in neural network training algorithms, metahuristic algorithms...
It is evident that usage of data mining methods in disease diagnosis has been increasing gradually. In this paper, diagnosis of Coronary Artery Disease, which is one of the most well-known diseases that cause heart failure, was conducted with such a data mining system. Many researchers have attempted to develop a medical expert system to increase the ability of physicians in detecting this disease...
Data mining is a very popular technique which is successfully used in many areas. The aim of this paper is to present a Hybrid model for data classification from input datasets. The proposed model extracts knowledge using fuzzy rule based systems and performs classification task by fuzzy if-then rules. The proposed method performs the classification task and extracts required knowledge using fuzzy...
The leading causes of heart failure are diseases that damage the heart. One of the most well-known diseases that cause heart failure is Coronary Artery Disease. Diagnosis of Coronary Artery Disease is an important medical problem. Many researchers have tried to develop intelligent medical systems to increase the ability of physicians in detecting this disease. Particle Swarm Optimization (PSO) has...
Ant colony optimization (ACO) has been used successfully in data mining field to extract rule based classification systems. The Objective of this paper is to utilize ACO to extract a set of rules for diagnosis of diabetes disease. Since the new presented algorithm uses ACO to extract fuzzy If-Then rules for diagnosis of diabetes disease, we call it FADD. We have evaluated our new classification system...
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