Browsing by Subject "Data Mining"
Now showing items 1-9 of 9
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(2021-10-22)Identifying anomalies with complex patterns is different from the conventional anomaly detection problem. Firstly, for cross-modal anomaly detection problems, a large portion of data instances within a multi-modal context ...
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(2013-08-01)Inclusive design is a concept intended to promote the development of products and environments equally usable by all users, irrespective of their age or ability. This research focuses on developing a method to derive ...
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(Texas A&M University, 2004-09-30)This study analyzes the economic and demographic patterns of at-home pork consumption for representative individuals over 18 years of age in the United States. Three data sets purchased by the National Pork Board (NPB) are ...
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(2020-07-09)Optimal operation of the electric power grid is of critical importance to maintain the integrity of the industrial, medical, and defense entities upon which the population relies. In the past, the power grid has primarily ...
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(2020-10-26)Propensity score methods (PSM) has become one of the most advanced and popular strategies for casual analysis in observational studies. However, there are substantial challenges that PSM face, such as biased estimation ...
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(Texas A&M University, 2006-08-16)Incident databases provide an excellent opportunity to study the repeated situations of incidents in the process industry. The databases give an insight into the situation which led to an incident, and if studied properly ...
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(2009-06-02)The purpose of this research was to create measures and models for the evaluation of Open Source Software (OSS) projects. An exploratory analysis of the development and maintenance processes in OSS was conducted for this ...
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(2019-04-10)The electrical grid is among the most critical of infrastructures, as it both assures high quality of life and promotes economic growth. Loss of power leads to major economic, social, and environmental impacts. Annual ...
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(2009-05-15)In the research of privacy-preserving data mining, we address issues related to extracting knowledge from large amounts of data without violating the privacy of the data owners. In this study, we first introduce an integrated ...