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- Keyword
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- Academic -- UNF -- Computing; Workflow; Unknown exceptions; BPEL4PEOPLE; Web Services; Human Task; SWIMs (1)
- Academic -- UNF -- Master of Science in Computer and Information Sciences; Dissertations (1)
- Business Value of Digital Data (1)
- Business analytics (1)
- Casino (1)
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- Classification (1)
- Cross-selling (1)
- DSS Use and Organizational Performance - Revisiting the Relationship (1)
- Data mining (1)
- Database marketing (1)
- Decision tree analysis (1)
- Digital data (1)
- Organizational interventions (1)
- Predictive analytics (1)
- Thesis; University of North Florida; UNF; Dissertations (1)
- Publication
- Publication Type
Articles 1 - 3 of 3
Full-Text Articles in Other Computer Engineering
Creating Business Value From Digital Data Streams: The Role Of Organizational Interventions, Rajeev Sharma, Abhijith Anand, Tim Coltman
Creating Business Value From Digital Data Streams: The Role Of Organizational Interventions, Rajeev Sharma, Abhijith Anand, Tim Coltman
Abhijith Anand
No abstract provided.
Predicting Cross-Gaming Propensity Using E-Chaid Analysis, Eunju Suh, Matt Alhaery
Predicting Cross-Gaming Propensity Using E-Chaid Analysis, Eunju Suh, Matt Alhaery
UNLV Gaming Research & Review Journal
Cross-selling different types of games could provide an opportunity for casino operators to generate additional time and money spent on gaming from existing patrons. One way to identify the patrons who are likely to cross-play is mining individual players’ gaming data using predictive analytics. Hence, this study aims to predict casino patrons’ propensity to play both slots and table games, also known as cross-gaming, by applying a data-mining algorithm to patrons’ gaming data. The Exhaustive Chi-squared Automatic Interaction Detector (E-CHAID) method was employed to predict cross-gaming propensity. The E-CHAID models based on the gaming-related behavioral data produced actionable model accuracy …
Unknown Exception Handling Tool Using Humans As Agents, Mwaka Mahanga
Unknown Exception Handling Tool Using Humans As Agents, Mwaka Mahanga
UNF Graduate Theses and Dissertations
In a typical workflow process, exceptions are the norm. Exceptions are defined as deviations from the normal sequence of activities and events. Exceptions can be divided into two broad categories: known exceptions (i.e., expected and predefined deviations) and unknown exceptions (i.e., unexpected and undefined deviations). Business Process Execution Language (BPEL) has become the de facto standard for executing business workflows with the use of web services. BPEL includes exception handling methods that are sufficient for known exception scenarios. Depending on the exception and the specifics of the exception handling tools, processes may either halt or move to completion. Instances of …