Abstract
DATA ANALYZING AND DATA MINING APPLICATIONS IN INCOMPLETE DATA IN THE BUSINESS DATABASE
Converting to information by analyzing the data is very important for businesses in today's knowledge economy. In this study, data of the Vefa Gıda Pazarlama Company are used. This data consists of buying and selling between September 1, 2012 and February 17, 2015 dates. 8 successful data mining algorithms were tested during the study period. The aim of this study which of the data mining method is most suitable for date analyzing when the structure of the data is missing or insufficient in business database. More than 78 000 data was obtained. The transaction is made by 63958 lines of data. 80% of the data are used as training data and 20% was used as the test data. In this study, the most appropriate model logitboost classification algorithm was determined for data base with missing data.
Keywords
Management information systems, incomplete data, database, data mining, knowledge discovery.
