Profit-Driven Data Analytics: New Algorithms and Business Applications
ABSTRACT
The rapid growth in data capture and computational power has led to an increasing focus on data-driven research. So far, most of
the research is focused on explanatory modeling, while predictive modeling has been less investigated. It is exactly this gap that will
be addressed in this project by taking a profit-driven approach.
a. Definition of a generic framework for profit-based classification performance measurement
b. In-depth analysis of the dependencies between the parameters in the profit-based framework
c. Developing statistical and heuristic based classification algorithms using the defined profit evaluation metrics
Industrial Engineering
In this project, we will undertake the following three main research objectives (RO):
Doç. Dr.
Ekrem Duman
DEPARTMENT
Industrial Engineering
CONTACT
[email protected]
FUNDING SCHEME
TÜBİTAK 2539 - FWO
START DATE
10/1/13
DURATION
24 months
OZU BUDGET
199,420.00 TL
2013 National Grants
In the literature, numerous metrics have been proposed for measuring and comparing the performances of alternative classifiers.
However, these performance measures are typically based on a statistical criterion without explicitly taking the costs and benefits
into account. Hence, these often used performance metrics are not aligned with profit maximization, the main goal in a business
context.
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