Data mining and an e-commerce application

DATA MINING AND AN E-COMMERCE APPLICATION(M.Sc. Thesis)Anarbek KalykovGAZ UNIVERSITYINSTITUTE OF SCIENCE AND TECHNOLOGYMay 2006ABSTRACTAmount of digital data grows rapidly daily and thus a problem of analysis ofsuch a data occurs. Many of these data change in unnoticeable amounts andsometimes it?s not possible to explain these changes by standart statisticalmethods. Sometimes change in data leads to change in some another data. Toreveal these dependencies new techniques should be used among with classicstatistical methods. All of these techniques are called Data Mining in literature.One of the main targets of Data Mining is to discover unnoticed dependencies,patterns within collection of seemingly meaningless data and to use collectedinformation in producing useful result.Nowadays the most successful corporations consider Data Mining as anindispensable instrument. At present time Data Mining is successfully used insuch areas as management, health, security, sports.In this thesis analysis of data, stored in publisher?s website was made, usingData Mining?s common techniques. These techniques, among with classicstatistical thechniques, are Association Rules and Decision Trees. As a result ofusing these techniques information, that should help in locating virtualproducts(books) to right kategories, was discovered. Thus, creation ofenvironment to advice boks to website users or system administrator, dependingon their areas of interests, was intended.Science Code : 704 - 3.006Key Words : Data Mining, Web Mining, Decision Trees, Association Rules,e-Commerce.Page Number : 94Adviser : Assistant Prof. Dr. Nursal Arıcı