Location-aware services using data mining techniques are recent research topics where rules from the data are extracted to provide interesting information. In addition, multi-agent systems are applied in location-based service for autonomous interaction of the system. Different data mining techniques are applied for knowledge discovery from location-based services. However, wireless environment...

Data mining is the process of extracting desirable knowledge or interesting patterns from existing databases for specific purposes. Many types of knowledge and technology have been proposed for data mining. Among them, finding association rules from transaction data is most commonly seen. Most studies have shown how binary valued transaction data may be handled. Transaction data in real-world a...

Data Mining techniques have been applied in many application areas. A Data Mining project has been often described as a process of automatic discovery of new knowledge from large amounts of data. However the role of the domain knowledge in this process and the forms that this can take, is an issue that has been given little attention so far. Based on our experience with a large scale Data Minin...

Abstract Data mining and knowledge discovery (DMKD) focuses on extracting useful information from data. In the chemical process industry, tasks such as monitoring, fault detection, control, optimization, etc., can be achieved using DMKD. However, selection of appropriate method for each step in DMKD process, namely data cleaning, sampling, scaling, dimensionality reduction (DR), clustering, clu...

The Information and Communication Technologies revolution brought a digital world with huge amounts of data available. Enterprises use mining technologies to search vast amounts of data for vital insight and knowledge. Mining tools such as data mining, text mining, and web mining are used to find hidden knowledge in large databases or the Internet. Mining tools are automated software tools used...

Recently due <span>to the explosion in data field, there is a great interest science areas such as big data, artificial intelligence, mining, and machine learning. Knowledge gives control power numerous manufacturing areas. Companies, factories, all organizations owners aim to benefit from their huge; recorded that increases expands very quickly improve business quality of products. In th...

Data mining is the invention of knowledge and useful information from the large amounts of data stored in databases. It is referred as an analysis study of the Knowledge discovery in database process or KDD. Data mining tools are used in forecasting future trends and behaviours, allowing businesses to make proactive, knowledge-driven decisions. Classification is an important data mining techniq...

The paper gives the pilot results of the project that is oriented on the use of data mining techniques and knowledge discoveries from production systems through them. They have been used in the management of these systems. The simulation models of manufacturing systems have been developed to obtain the necessary data about production. The authors have developed the way of storing data obtained ...

A knowledge-based society determines organizations to focus their activities on improving management quality by using knowledge. Huge data stores become important once the real significance of data is discovered. Data mining techniques are involved in different knowledge processes, as one can notice in various public applications of the researchers. Managers can use these techniques in order to...