Browsing Theses and Dissertations (UMKC) by Thesis Advisor "Rao, Praveen R."
Now showing items 1-18 of 18
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An Approach For Scalable First-Order Rule Learning On Twitter Data
(2021)Scalable Rule Learning (SRLearn) is a scalable divide-and-conquer approach with graph-based modeling of social media data, to scale up first-order rule learning through Markov Logic Networks on a commodity cluster on large ... -
An Approach for Fast Score Computation in Bayesian Network Structure Learning Over Large-Scale Distributed Data
(University of Missouri -- Kansas City, 2018)On a fundamental level, Bayes’ theorem enables us to utilize prior knowledge to determine the probability of an event. In consequence, its suitability for probabilistic reasoning has lead to its employment in probabilistic ... -
Building a Knowledge Graph for Food, Energy, and Water Systems
(University of Missouri--Kansas City, 2017)A knowledge graph represents millions of facts and reliable information about people, places, and things. Several companies like Microsoft, Amazon, and Google have developed knowledge graphs to better customer experience. ... -
Classification of Clinical Tweets Using Apache Mahout
(2015)There is an increasing amount of healthcare related data available on Twitter. Due to Twitter’s popularity, every day large amount of clinical tweets are posted on this microblogging service platform. One interesting ... -
A Data Science Approach to Extracting Insights About Cities and Zones Using Open Government Data
(University of Missouri--Kansas City, 2017)In this research, we introduce a system that utilizes open government data and machine learning algorithms to extract meaningful insights about cities and zones in the United States. It is estimated that 4% of the ... -
Distributed querying of clinical documents modeled as HL7 version 3 standard
(University of Missouri--Kansas City, 2012-01-30)We present a software tool called Collaborative Data Network (CDN) for distributed querying of clinical documents modeled using HL7 v3 standard (e.g., Clinical Document Architecture). HL7 Version 3 standard was developed ... -
Enabling Large-Scale Storage and Retrieval of Whole Slide Images: A Big Data Approach
(2016)Telepathology has the potential to transform the practice of pathology and be a game changer for patients and pathologists. It can lead to wider, rapid access to expert pathologists across hospitals in the US, improve ... -
Enriching Knowledge Graphs Using Machine Learning Techniques
(2020)A knowledge graph represents millions of facts and reliable information about people, places, and things. These knowledge graphs have proven their reliability and their usage for providing better search results; answering ... -
FedSmarteum: Secure Federated Matrix Factorization Using Smart Contracts for Multi-Cloud Supply Chain
(2021)With increased awareness comes unprecedented expectations. We live in a digital, cloud era wherein the underlying information architectures are expected to be elastic, secure, resilient, and handle petabyte scaling. The ... -
Improving the Performance of Parallel SPARQL Query Processing on Apache Spark Using Bloom Filters
(University of Missouri--Kansas City, 2017)The Resource Description Framework (RDF) has become the standard model for data representation on the Web. In RDF, IRIs are used to represent entities and their relationships. SPARQL is the query language for RDF. Today, ... -
A New Approach for Fast Processing of SPARQL Queries on RDF Quadruples
(2015-06-19)The Resource Description Framework (RDF) is a standard model for representing data on the Web. It enables the interchange and machine processing of data by considering its semantics. While RDF was first proposed with the ... -
A new filtering index for fast processing of SPARQL queries
(2013)The Resource Description Framework (RDF) has become a popular data model for representing data on the Web. Using RDF, any assertion can be represented as a (subject, predicate, object) triple. Essentially, RDF datasets ... -
A Novel cell phone based application for tracking the vaccination coverage in rural communities
(2013)Millions of children born worldwide do not receive proper vaccination. Driven by the concern for the lives of such children, institutions and organizations around the world have emphasized the need to strengthen vaccination ... -
One-Shot Learning Model for Cancer Diagnosis from Histopathological Images
(University of Missouri--Kansas City, 2017)Cancer diagnosis from tissue biomarker scoring is a vital technique used in determining type and grade of cancer. This is a significant part of workload for pathologists, the process is tedious, time consuming, subjective, ... -
Parallel SPARQL Query Execution using Apache Spark
(University of Missouri--Kansas City, 2016)Semantic Web technologies such as Resource Description Framework (RDF) and SPARQL are increasingly being adopted by applications on the Web, as well as in domains such as healthcare, finance, and national security and ... -
Scalable Acceleration of The Characteristic Mode Analysis Computational Toolbox Using Big Data Techniques
(2021)Characteristic Mode Analysis (CMA) is used in the design and analysis of a wide range of electromagnetic devices such as antennas and nano-structures. CMA provides physical insight into a target's electromagnetic response ... -
A study of gossip algorithms for internet-scale cardinality estimation of distributed XML data
(University of Missouri--Kansas City, 2012-10-03)After more than a decade of active research and development, the peer-to-peer (P2P) computing model continues to be successful. We have witnessed the deployment of commercial P2P applications in large, Internet-scale ... -
A study of graph partitioning techniques for fast indexing and query processing of a large RDF graph
(2013)In recent years, the Resource Description Framework (RDF) [34] has become increasingly important for the Web and in domains such as defense and healthcare. Companies such as the New York Times [40], Best Buy [39], and ...