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Knowledge-driven multidimensional indexing for content-based information retrieval
(University of Missouri--Columbia, 2008)
Statistical (EBS) k-d tree and the Entropy Balanced Bitmap (EBB) tree for knowledge-driven indexing of media. These indexing structures exploit domain knowledge present in a media database through analysis of the statistical entropy of the database...
Domain-concept mining : an efficient on-demand data mining approach
(University of Missouri--Columbia, 2008)
by pairing each attribute with its values. Criteria may include under-represented groups as well as spatial, temporal, and incremental dimensionalities. Then, a statistical power analysis is utilized to determine if multiple criteria of the same attribute...
Clinical content tracking system: an efficient request tracking via a graphical user interface
(University of Missouri--Columbia, 2007)
in the system to statistics and hence, maximize efficiency on the managerial level. The main motivation behind this research is to develop an adaptive system that can be configured or customized to meet the needs of various health institutes....
Content extraction, analysis, and retrieval for plant visual traits studies
(University of Missouri--Columbia, 2008)
In recent years, automatic content extraction, analysis and retrieval for plant visual trait studies play a more important role than ever before, because traditional manual processing suffers two major issues: excessive ...
Dashboard design and usability study for geospatially enabled information seeking to assist pandemic response and resilience
(University of Missouri--Columbia, 2021)
Counties in Missouri are primarily rural. Rural communities often consist of individuals with poor health, lower economic status, and lack of public health infrastructure. During the COVID- 19 pandemic, most research was centered around urban...
Multi-source ontology-based maize phenotype search engine
(University of Missouri--Columbia, 2009)
In the midst of this genomics era, major plant genome databases are collecting massive amounts of heterogeneous information, including sequence data, gene product information, as well as images and descriptions of mutant ...
Advance : adversarial collaborative learning for detection and verification of artificially created examples
(University of Missouri--Columbia, 2023)
regarding the authenticity of information consumed by the general public, exemplified by the prevalence of deepfakes. Consequently, various approaches have been proposed to detect adversarial generated data, aiming to address this challenge. However, a...
Temporal mining framework for risk reduction and early detection of chronic diseases
(University of Missouri--Columbia, 2010)
Chronic diseases significantly affect the quality of life of over 25 million Americans and are among the most common health problems. Due to the complexity of these diseases, it is difficult for clinicians to analyze trends ...
Explainable cohort discoveries driven by exploratory data mining and efficient risk pattern detection
(University of Missouri--Columbia, 2022)
Finding small homogeneous subgroup cohorts in a large heterogeneous population is a critical process for hypothesis development within a broad range of applications, such as fraud detection, ad targeting, and geospatial ...
Efficient protein tertiary structure retrievals and classifications using content based comparison algorithms
(University of Missouri--Columbia, 2007)
Functionally important sites of proteins are potentially conserved to specific three-dimensional structural folds. To understand the structure-to-function relationship, life sciences researchers and biologists have a great ...
Mining progressive user behavior for e-commerce using virtual reality technique
(University of Missouri--Columbia, 2007)
In the past decade, the virtual reality (VR) technique has been becoming a popular marketing tool on e-commerce websites, where the consumers are allowed to interact with the products and have a vivid shopping experience ...