Browsing by Subject "Data Mining"
Now showing items 1-7 of 7
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Application of Clustering, Logistic Regression and Decision Tree Induction on EGM Data for Detection and Prediction of At-Risk and Problem Gamblers
(2014-08-12)The use of data mining techniques for problem gambling behaviour analysis has huge potential to offer players protection and to reduce the risk of gambling-related harms. In this thesis, we apply three data mining ... -
Direct Selling Business Lead Prediction by Social Media Data Mining
(2016-04-08)Business leads are new potential customers and networkers from the direct selling business point of view, which are the marketing backbone of the direct selling industry. People who work in the direct selling business ... -
ELECTRONIC GAMING MACHINE PLAYSTYLE DETECTION AND RAPID PLAYSTYLE CLASSIFICATION USING MULTIVARIATE CONVOLUTIONAL LSTM NEURAL NETWORK ARCHITECTURE
(2021-09-01)Electronic Gaming Machines (EGM) are common, anonymous, stateless gambling machines operated by a region’s lottery and situated in licensed venues. Previous work have shown that problem gambling detection is possible ... -
EXPERIENCE MANAGEMENT FOR IT MANAGEMENT SUPPORT
(2012-08-10)This thesis focuses on the identification of experience required for solving IT (Information Technology) problems in small to medium sized enterprises. It is aimed to utilize information retrieval and data mining techniques ... -
Exploring Event Log Analysis with Minimum Apriori Information
(2012-04-17)The continued increase in the size and complexity of modern computer systems has led to a commensurate increase in the size of their logs. System logs are an invaluable resource to systems administrators during fault ... -
Identifying Factors Influencing Electronic Gaming Machine Player Behavior Using Interpretable AI and Mimicking Player Behavior Using Reinforcement Learning
(2022-12-06)People in venues like casinos play games on Electronic Gaming Machines (EGMs). These machines do not record information about players, such as their playing experience. The gaming industry is keen on learning about the ... -
SeRViz: an Interactive Visualization Framework for the Analysis of Sequential Rules and Frequent Itemsets
(2021-04-29)Sequential Rule Mining (SRM) discovers association relationship between items in a sequence database, w.r.t. their temporal order. Often, the high number of mined rules makes their exploration challenging. Visualization ...
