Feature selection is an indispensable pre-processing step when mining huge datasets that can significantly improve the overall system performance. This paper presents a novel feature selection method that utilizes both the Ant Colony Optimization (ACO) and fuzzy memberships. The algorithm estimates the local importance of subsets of features, i.e., their pheromone intensities by utilizing fuzzy...

Automatic text classification is a popular research topic in text mining. Automatic text classification is an eminent field of research in text mining, which is tries to automatically classify the text documents into pre-specified categories. Text mining involves several pre-processing and classification techniques. In this paper, we have analysed several feature selection methods with support ...

Corporate data mining faces the challenge of systematic knowledge discovery in large data streams to support managerial decision making. While research in operations research, direct marketing and machine learning focuses on the analysis and design of data mining algorithms, the interaction of data mining with the preceding phase of data preprocessing has not been investigated in detail. This p...

K nearest neighbor algorithm is one of the most frequently used techniques in data mining for its integrity and performance. Though the KNN algorithm is highly effective in many cases, it has some essential deficiencies, which affects the classification accuracy of the algorithm. First, the effectiveness of the algorithm is affected by redundant and irrelevant features. Furthermore, this algori...

A major problem when conducting mining fuzzy association rules from the database (DB) is the large computation time and memory needed. In addition, the selection of fuzzy sets for each attribute of the database is very important because it will affect the quality of the mining rule. This paper proposes a method for mining fuzzy association rules using compressed database. We also use the approa...

ultimate limits of an open pit, which define its size and shape at the end of the mine’s life, is the pit with the highest profit value. a number of algorithms such as floating or moving cone method, floating cone method ii and the corrected forms of this method, the korobov algorithm and the corrected form of this method, dynamic programming and the lerchs and grossmann algorithm based on grap...

Novel biomarkers can be discovered through mining high dimensional microarray datasets using machine learning techniques. Here we propose a novel recursive gene selection method which can handle the multiclass setting effectively and efficiently. The selection is performed iteratively. In each iteration, a linear multiclass classifier is trained using 1-norm regularization, which leads to spars...

Data mining is a powerful and new method of analyzing data and finding out new patterns from large set of data. The objective of data mining is to pull out knowledge from a data set in an understandable format. Data mining is the process of collecting, extracting and analyzing large data set from different perspectives. There is an enormous amount of data stored in databases and data warehouse ...