Browsing Computer Science electronic theses and dissertations (MU) by Thesis Advisor "Shyu, Chi-Ren"
Now showing items 1-19 of 19
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Advance : adversarial collaborative learning for detection and verification of artificially created examples
(University of Missouri--Columbia, 2023)Adversarial learning methods have gained significant popularity in generating deceptive yet convincingly authentic data. While these techniques have proven beneficial for advancing artificial intelligence, they also give ... -
Applying visual routines in a cognitive model of visual analysis
(University of Missouri--Columbia, 2010)Through years of experience, expert image analysts acquire knowledge which allows them to perform an in-depth analysis of images quickly and efficiently. This research aims to build a humanlike framework and cognitive model ... -
Clinical content tracking system: an efficient request tracking via a graphical user interface
(University of Missouri--Columbia, 2007)We propose a new system called Clinical Content Tracking System (CCTS) that is a pre-component of a Computerized Physician Order Entry (CPOE) system. CCTS is a tool that helps physicians build clinical contents, in an ... -
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 ... -
Distributed association rule mining using an in-memory cluster computer framework
(University of Missouri--Columbia, 2015)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Association rule mining is a mature area; however, there is much to be done to take full advantage of the massive distributed computing environments ... -
Distributed frequent hierarchical pattern mining for robust and efficient large-scale association discovery
(University of Missouri--Columbia, 2017)Frequent pattern mining is a classic data mining technique, generally applicable to a wide range of application domains, and a mature area of research. The fundamental challenge arises from the combinatorial nature of ... -
Domain-concept mining : an efficient on-demand data mining approach
(University of Missouri--Columbia, 2008)Traditional brute-force association mining approaches, when applied to large datasets, are thorough but inefficient due to computational complexity. A low global minimum probability threshold can worsen this complexity by ... -
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 ... -
High-throughput analysis and advanced search for visually-observed phenotypes
(University of Missouri--Columbia, 2012)The trend in many scientific disciplines today, especially in biology and genetics, is towards larger scale experiments in which a tremendous amount of data is generated. As imaging of data becomes increasingly more popular ... -
High-throughput visual knowledge analysis and retrieval in big data ecosystems
(University of Missouri--Columbia, 2015)Visual knowledge plays an important role in many highly skilled applications, such as medical diagnosis, geospatial image analysis and pathology diagnosis. Medical practitioners are able to interpret and reason about ... -
In-memory distributed indexing for large-scale media data retrieval
(University of Missouri--Columbia, 2017)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Multimedia data includes various media types such as text, image and video. Recent research has shown that media data retrieval serves a critical role ... -
Knowledge representation and exchange of visual patterns using semantic abstractions
(University of Missouri--Columbia, 2008)Modern technology enables organizations to build large-scale data repositories. The utility of such repositories, however, is limited if they don't support exible methods of extracting knowledge, especially for image ... -
Knowledge-driven multidimensional indexing for content-based information retrieval
(University of Missouri--Columbia, 2008)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Media data are being generated at rates unimaginable only years ago. We face challenges in providing efficient and accurate access to media content, ... -
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 ... -
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 ... -
Refined repetitive searches and long identical multi-species elements in mammals and plants : Insights into structure, function and evolution
(University of Missouri--Columbia, 2010)All of the information necessary to reproduce a living organism is contained in the DNA of its genome. Within the genomic sequence, there are subsequences called genes that are transcribed into RNA and translated into ... -
Semi-automatic exploratory data analytics for actionable discoveries through subgroup mining
(University of Missouri--Columbia, 2017)People are born with the curiosity to see differences between groups. These differences are useful for understanding the root causes of certain discrepancies, such as populations and diseases. However, without prior knowledge ... -
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 ...