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Deep Learning Based Imbalanced Data Classification and Information Retrieval for Multimedia Big Data
Yan, Yilin – ProQuest LLC, 2018
The development in information science has enabled an explosive growth of data, which attracts more and more researchers to engage in the field of big data analytics. Noticeably, in many real-world applications, large amounts of data are imbalanced data since the events of interests occur infrequently. Classification of imbalanced data is an…
Descriptors: Information Science, Information Retrieval, Multimedia Materials, Data
Md Desa, Zairul Nor Deana – ProQuest LLC, 2012
In recent years, there has been increasing interest in estimating and improving subscore reliability. In this study, the multidimensional item response theory (MIRT) and the bi-factor model were combined to estimate subscores, to obtain subscores reliability, and subscores classification. Both the compensatory and partially compensatory MIRT…
Descriptors: Item Response Theory, Computation, Reliability, Classification
Blake, Charles Carlos, III – ProQuest LLC, 2012
The number of refugees from Africa seeking asylum in Israel has recently skyrocketed, raising issues as to how to integrate them into Israeli society. Education is one of the mediums being used to encourage the cultural integration and inclusion of the refugees into Israeli society; very little is known, however, about how Africans are…
Descriptors: Acculturation, Ethnography, Coding, Classification
Sukin, Tia M. – ProQuest LLC, 2010
The presence of outlying anchor items is an issue faced by many testing agencies. The decision to retain or remove an item is a difficult one, especially when the content representation of the anchor set becomes questionable by item removal decisions. Additionally, the reason for the aberrancy is not always clear, and if the performance of the…
Descriptors: Simulation, Science Achievement, Sampling, Data Analysis
Wu, Qiong – ProQuest LLC, 2009
Despite the increasing popularity of latent class models (LCM) in educational research, methodological studies have not yet accumulated much information on the appropriate application of this modeling technique, especially with regard to requirement on sample size and number of indicators. This dissertation study represented an initial attempt to…
Descriptors: Statistical Analysis, Educational Research, Research Methodology, Sample Size
Taft, Laritza M. – ProQuest LLC, 2010
In its report "To Err is Human", The Institute of Medicine recommended the implementation of internal and external voluntary and mandatory automatic reporting systems to increase detection of adverse events. Knowledge Discovery in Databases (KDD) allows the detection of patterns and trends that would be hidden or less detectable if analyzed by…
Descriptors: Pregnancy, Risk, Patients, Program Effectiveness
Hendricks, Jacquelyn Kaye – ProQuest LLC, 2010
Student performance on critical-thinking applications on standardized tests in a southwestern U.S. state has been low for several years. The purpose of this instrumental case study was to explore how one school district prepared students for critical-thinking applications on standardized tests. The study was informed by cognitivism and…
Descriptors: Focus Groups, Standardized Tests, Cooperative Learning, Critical Thinking