Browsing by Subject "data science"

Now showing items 1-5 of 5

    • Context-aware quality assessment of structured and unstructured data 

      Mylavarapu, Sesha Sai Goutam Sarma (2020-07)
      Data analysis is a crucial process in the field of data science that extracts useful information from any form of data. The ease of access and maintenance makes structured data the most popular choice among many organizations ...

    • Data workshops in support of researchers at the University of Oklahoma 

      Schilling, Amanda; Laufersweiler, Mark; Curry, Claire; Tweedy, Brent (Oklahoma State University, 2020-04-17)
      OU Libraries is in their third semester of offering research data workshops that focus on the skills and tools needed by students, staff, and faculty who are involved in research. We developed curriculum based on The ...

    • General supervised learning framework for open world classification 

      Bhavaraju, Sai Krishna Theja (2020-12-18)
      In machine learning, the most common scenario for classification modeling is when the training set contains all possible classes and the algorithm learns to identify these classes. The problem setting in which the training ...

    • Performance metric distribution characteristics of medical school exam items 

      Sajjadi, Nicholas B.; Terry, Lindsay; Price, Joseph, III (Oklahoma State University, 2021-04-14)
      Exams are used to measure student progress and subject mastery. Exam item performance can be assessed by Item Difficulty, Discrimination Index (DI), and Point Biserial (PB). A previous investigation descriptively characterized ...

    • Traffic accident analysis and prediction using the NPMRDS 

      Kaja Najumudeen, Mohamat Eirban Ali Bin (2020-12)
      Traffic accidents are incidents caused by collisions between road vehicles or a vehicle with road infrastructures or pedestrians. Traffic accidents are a common cause for non-recurring traffic bottlenecks that, in turn, ...