Abstract—Today, as a result of the global internet viewers increased rapidly, consumers are more focused than ever on searching the best product and the best prices. Consequently, e-commerce corporations also invested their time, money and efforts to know the feedback and comments about their products. That would help the corporations to modernize their product at low prices, which in turn help...

This paper is an introduction to rough set theory with an emphasis on applications to data mining. First, consistent data are discussed, including blocks of attribute-value pairs, reducts of information tables, indiscernibility relation, decision tables, and global and local coverings. Rule induction algorithms LEM1 and LEM2 are presented. Then the rough set approach to inconsistent data is int...

In recent years, the XML language has been receiving much interest among IT community. It has many nice properties that make it a great candidate for representation of different kinds of data. In this paper we will propose an XML framework for the domain of knowledge discovery in databases. This is not a specification document; this article tries to be a compendium of ideas and remarks concerni...

According to the traditional viewpoint of Data mining, transactions are accumulated over a long period of time (in years) in order to find out the frequent patterns associated with a given threshold of support, and then they are applied to practice of business as important experience for the next business processes. From the point of view, many algorithms have been proposed to exploit frequent ...

In recent years, multivariate imaging techniques are developed and applied in biomedical research in an increasing degree. In research projets and in clinical studies as well m-dimensional multivariate images (MVI) are recorded and stored to databases for a subsequent analysis. The complexity of the m-dimensional data and the growing number of high throughput applications call for new strategie...

This paper focuses on general remarks on the test of the German Society of Photogrammetry, Remote Sensing and Geoinformation (DGPF) on Digital Airborne Camera Evaluation. It should be seen as an introductory paper which explains the test bed itself, the available reference and test data sets and the overall organization and structure of the data evaluation. The more detailed results are publish...

Data mining is a process of analyzing data in order to bring about patterns or trends from the data. Many techniques are part of data mining techniques. Other mining techniques such as text mining and web mining also exists. Clustering is one of the most important data mining or text mining algorithm that is used to group similar objects together. In other words, it is used to organize the give...

The education sector is one of the areas that has felt major impact Covid-19 pandemic. arises teaching and learning process must be carried out from home using online method. This method raises a variety responses students. what makes researchers analyze these views, both in form positive opinions or negative opinions. analysis by applying sentiment opinion mining comment on Facebook, text proc...

in despite of all progress in technology in mining industry, still labor is one of the key factors in mining operation. this paper presents a system dynamics approach to evaluate the mining labor productivity. therefore, after the identification of main effective variables, two quantitative and qualitative models were built. the qualitative model illustrates the complex interrelated structure o...

this article of focused on data mining, which is very complex to recognize the correct, new models which are potentially useful in data, hence they will be useful, and acceptable for all humans. data mining is also called the exploration of knowledge, is the process of data analysis in the different aspect to summarize them into the suitable information, which is able to increase profits and to...