Data Science

In this work, we provide a Consumable Analytics solution to meet the businesses’ analytical needs. Author: Shady Samir Mohamed Khalifa, Queens' University.

Less is known about the factors influencing the economic success of Big Data ventures (BDVs), as well as the established firms that invest in them. To shed light on these factors, three essays are designed and executed. Author: Taha Havakhor, University of Arkansas.

Using a mixed-methods approach including quantitative surveys and qualitative interviews, this study generated recommendations for senior management within an established global pharmaceutical company. Author: John J. Quinn, Willmington University.

In this dissertation, we develop example-driven discovery/learning methods for high-level declarative schema mapping specifications and high-level declarative entity resolution algorithms. Author: Kun Qian, University of California, Santa Cruz.

Specifically, this project develops the construct of Big Data capability to characterize what is involved in Big Data and how companies use it to develop their competitive advantage. Author: Canchu Lin, The University of Toledo.

This qualitative study identified those factors that influence the perceived effectiveness of traditional IA control frameworks. Author: Benjamin G. Apple, Capella University.

This thesis studies the current methodologies in predictive visual analytics. Author: Yafeng Lu, Arizona State University.