ÐWith the increase in the size of data sets, data mining has recently become an important research topic and is receiving substantial interest from both academia and industry. At the same time, interest in temporal databases has been increasing and a growing number of both prototype and implemented systems are using an enhanced temporal understanding to explain aspects of behavior associated wi...

The prerequisite of maintaining an efficient and safe mining operation is the proper design of a mine by considering all aspects. The first step in a coal mine design is a realistic geometrical modelling of the coal seam(s). The structural features such as faults and folding must be reliably implemented in 3D seam models. Upon having a consistent seam model, the attributes such as calorific val...

Medical professionals need a reliable prediction methodology to diagnose Diabetes. Data mining is the process of analysing data from different perspectives and summarizing it into useful information. The main goal of data mining is to discover new patterns for the users and to interpret the data patterns to provide meaningful and useful information for the users. Data mining is applied to find ...

This study was conducted in Mouteh grinding circuit. Mouteh gold processing plant is located in Esfahan province,center of Iran, close to Mouteh open pit mine. One of the main problems in this circuit is low efficiency grinding operation. In this study, first grinding circuit and its performance parameters are evaluated. Laboratory and corrected operating Bond work index subsequently were calcu...

The growing production of maps is generating huge volume of data stored in large spatial databases. This huge volume of data exceeds the human analysis capabilities. Spatial data mining methods, derived from data mining methods, allow the extraction of knowledge from these large spatial databases, taking into account the essential notion of spatial dependency. This paper focuses on this specifi...

Mining for association rules is one of the fundamental data mining methods. In this paper we describe how to efficiently integrate association rule mining algorithms with relational database systems. From our point of view direct access of the algorithms to the database system is a basic requirement when transferring data mining technology into daily operation. This is especially true in the co...

Today’s building automation systems (BASs) are becoming increasingly complex. A typical BAS usually stores hundreds of sensor measurements and control signals at each time step, which produces massive high dimensional data sets. Traditional analysis methods for BAS data only focus on a small subset of the data, resulting in a huge information loss. Data mining techniques are more effective in k...

In this paper, an efficient algorithm is presented to solve flexible flow-shop problems using fuzzy approach. The goal is to minimize the total job tardiness. We assume parallel machines with different operation times. In this algorithm, parameters like ‘‘due date’’ and ‘‘operation time’’ follow a triangular fuzzy number. We used data mining technique as a facilitator to help in finding a bette...