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    FormatThesis (35)SubjectThesis -- University of Missouri--Kansas City -- Computer science (36)Machine learning (22)Big data (7)Data mining (7)Dissertation -- University of Missouri--Kansas City -- Computer science (4)... View MoreDate Issued2019 (3)2018 (7)2017 (4)2016 (6)2015 (3)Author/ContributorLee, Yugyung, 1960- (43)Zheng, Yongjie (3)Shen, Feichen (2)Albishri, Ahmed Awad H. (1)Bandi, Rakesh Reddy (1)... View MoreAdvisor
    Lee, Yugyung, 1960- (43)
    Zheng, Yongjie (3)Thesis DepartmentComputer Science (UMKC) (43)Telecommunications and Computer Networking (UMKC) (4)

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    Semantic Frameworks for Document and Ontology Clustering 

    Tong, Tuanjie (University of Missouri--Kansas City, 2011-01-20)
    The Internet has made it possible, in principle, for scientists to quickly find research papers of interest. In practice, the overwhelming volume of publications makes this a time consuming task. It is, therefore, important ...

    A Semantic Approach for Automatic Recovery of Software Architecture 

    Sharma, Megha (2014)
    Open source projects have been continuously growing in popularity. As a result, a number of open source projects begin to play an important role in current software development. In practice, limited assistance has been ...

    Active Mobile Interface for smart health 

    Gorla, Pratima (2013)
    Computer interfaces are rapidly evolving beyond the traditional keyboard-mouse-monitor triad. The widespread availability of touch screens and voice recognition software has made it possible to execute commands in many ...

    CSISE: cloud-based semantic image search engine 

    Walunj, Vijay (2014-03-27)
    Due to rapid exponential growth in data, a couple of challenges we face today are how to handle big data and analyze large data sets. An IBM study showed the amount of data created in the last two years alone is 90% of the ...

    Distributed RDF query processing and reasoning for big data / linked data 

    Perasani, Anudeep (2014-08-27)
    The Linked Data Movement is aimed at converting unstructured and semi-structured data on the documents to semantically connected documents called the "web of data." This is based on Resource Description Framework (RDF) ...

    Evidence based medical query system on large scale data 

    Bavirisetty, Venkata Pramod Gupta (2014-07-30)
    As huge amounts of data are created rapidly, the demand for the integration and analysis of such data has been growing steadily. It is especially essential to retrieve relevant and accurate evidence in healthcare and ...

    Semantic code search and analysis 

    Dannamaneni, Yashwanth Rao (2014-07-28)
    As open source software repositories have been enormously growing, the high quality source codes have been widely available. A greater access to open source software also leads to an increase of software quality and reduces ...

    VirtualMindTrial: An Intelligent Questionnaire System for Clinical Trail Recruitment 

    Katakam, Nikhilesh, 1987- (University of Missouri--Kansas City, 2010)
    The recruitment of human subjects for clinical trials research is a critically important step in the discovery of new cures for diseases. Volunteers are subjected to an elaborate questionnaire process in current recruitment ...

    Social Bridge: searching beyond Friend of a Friend networks 

    Mylavarapu, Teja Swaroop (University of Missouri--Kansas City, 2012-06-11)
    Social networking has turned into an integral constituent in our lives. There appears to be an imperative demand for finding and linking with others to share one's day-to-day activities. However, currently available ...

    Event driven querying of semantic sensor web services 

    Padmanabha, Shruthi (University of Missouri--Kansas City, 2012-05-15)
    In today's world, there is a tremendous increase in the usage of sensor technology in several fields including agriculture, medicine, and weather. Sensors either in-site or remotely placed are usually deployed in the form ...

    Topic network: a semantic model for effective learning 

    Garg, Taru, 1987- (University of Missouri--Kansas City, 2011-06-08)
    There has been tremendous interest in sharing and retrieving information through the Web. A search engine can be used to retrieve relevant web documents. However, the sheer volume of results returned often requires ...

    A Pervasive Middleware for Activity Recognition with Smartphones 

    Vaka, Prakash Reddy (2015)
    Activity Recognition (AR) is an important research topic in pervasive computing. With the rapid increase in the use of pervasive devices, huge sensor data is generated from diverse devices on a daily basis. Analysis of the ...

    Feature-based Analysis for Open Source using Big Data Analytics 

    Krishnan, Malathy (2015)
    The open source code base has increased enormously and hence understanding the functionality of the projects has become extremely difficult. The existing approaches of feature discovery that aim to identify functionality ...

    Dynamic Model Generation and Semantic Search for Open Source Projects using Big Data Analytics 

    Punyamurthula, Sravani (2015)
    Open source software is quite ubiquitous and caters to most common software needs developers come across. Many open source projects are considered better than their commercial equivalents as a larger pool of developers ...

    Context-Aware Adaptive Model for Smart Energy 

    Soni, Swati (2013)
    Building energy awareness and providing feedback on energy use is a vital component in transforming the behavior of individuals and communities towards a more efficient use of electric power. An enormous amount of energy ...

    A Graph Analytics Framework for Knowledge Discovery 

    Shen, Feichen (2016)
    In the current data movement, numerous efforts have been made to convert and normalize a large number of traditionally structured and unstructured data to semi-structured data (e.g., RDF, OWL). With the increasing number ...

    DMLA: A Dynamic Model-Based Lambda Architecture for Learning and Recognition of Features in Big Data 

    Yadavalli, Ravi Kiran (University of Missouri--Kansas City, 2016)
    Real-time event modeling and recognition is one of the major research areas that is yet to reach its fullest potential. In the exploration of a system to fit in the tremendous challenges posed by data growth, several big ...

    DL-DI: A Deep Learning Framework for Distributed, Incremental Image Classification 

    Maddula, Manikanta (University of Missouri--Kansas City, 2017)
    Deep Learning technologies show promise for dramatic advances in fields such as image classification and speech recognition. Deep Learning (DL) is a class of Machine Learning algorithms that involves learning of multiple ...

    SAF-DL: Semantic Analysis Framework for Deep Learning Open Source Projects 

    Tripathi, Rashmi (University of Missouri--Kansas City, 2018)
    There are a lot of open source projects available on the internet. Specifically, due to the increasing interest of Deep Learning (DL), the number of DL open source projects is also increased. This project is motivated ...

    SigsSpace-Text: Parallel and Distributed Signature Learning in Text Analytics 

    Bandi, Rakesh Reddy (University of Missouri--Kansas City, 2016)
    Big data analytics uncover hidden patterns and useful information from big data. It is a complex and time-consuming process. Recent advancements in parallel and distributed approaches have led to the evolution of big data ...
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