decision support systems (dsss) are prevalent information systems for decision making in many competitive business environments. in a dss, decision making process is intimately related to some factors which determine the quality of information systems and their related products. traditional approaches to data analysis usually cannot be implemented in sophisticated companies, where managers nee...

Never before in history have data been generated at such high volumes as it is today. Exploring and analyzing the vast volumes of data has become increasingly difficult. Information visualization and visual data mining can help to deal with the flood of information. The advantage of visual data exploration is that the user is directly involved in the data-mining process. There are a large numbe...

due to the rapid growth of data mining technology, obtaining private data on users through this technology becomes easier. association rules mining is one of the data mining techniques to extract useful patterns in the form of association rules. one of the main problems in applying this technique on databases is the disclosure of sensitive data by endangering security and privacy. hiding the as...

Preface Our capabilities of both generating and collecting data have been increasing rapidly in the last several decades. Contributing factors include the widespread use of bar codes for most commercial products, the computerization of many business, scientiic and government transactions and managements, and advances in data collection tools ranging from scanned texture and image platforms, to ...

This paper discusses an overview of data mining techniques for personalization. It discusses some of the standard techniques which are used in order to adapt and increase the ability of the system to tailor itself to specific user behavior. We discuss several such techniques such as collaborative filtering, content based methods, and content based collaborative filtering methods. We examine the...

The current explosion of data and information, mainly caused by data warehousing technologies as well as the extensive use of the Internet and its related technologies, has increased the urgent need for the development of techniques for intelligent data analysis. Data mining, which concerns the discovery and extraction of knowledge chunks from large data repositories, is aimed at addressing thi...

In this paper we develop data mining techniques incorporating the association rules and classification algorithms to search for the outcomes of IVF treatments when multiple fetal heart beats observed on ultrasound either as a result of the transfer of two embryos or homozygotes. Our objective is to detrmine the fate of the surviving fetus after the demise of twin. The data is large and and incl...