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- Academic -- UNF -- Master of Science in Computer and Information Sciences; Dissertations (3)
- Thesis; University of North Florida; UNF; Dissertations (3)
- Academic -- UNF -- Computing; SQL; Relational Database; Document Database; NoSQL; MongoDB; Database (1)
- Academic -- UNF -- Computing; gate; automate; ciri; f-measure; human rights; u.s. department of state (1)
- Academic -- UNF -- Computing; music; collaborative filtering; collective intelligence; content-based filtering; MFCC; recommend; information retrieval; database; Pandora; Last.fm; music recommendation system; UNF (1)
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- Academic -- UNF – Computer Science; Department of Computer and Information Sciences (1)
- Academic – UNF – Computing (1)
- Academic – UNF – Master of Science in Computer and Information Sciences; Dissertations (1)
- Thesis; University of North Florida; UNF; Dissertations; Academic -- UNF -- Master of Science in Computer and Information Sciences; Dissertations; Academic -- UNF -- Computing; Time Series; HBase; Databases; NoSQL; Indexing; R-tree (1)
- Thesis; University of North Florida; UNF; Dissertations; Academic -- UNF -- Master of Science in Computer and Information Sciences; Dissertations; Academic -- UNF -- Computing; cloud; database; security; algorithm (1)
- UNF; University of North Florida; Dissertations (1)
- University of North Florida; UNF; Dissertations (1)
- Web Services; Conceptual Model; Trustworthiness; Scenario-based Evaluation; Service Selection; Trust (1)
Articles 1 - 8 of 8
Full-Text Articles in Physical Sciences and Mathematics
Automating Ciri Ratings Of Human Rights Reports Using Gate, Joshua M. Joiner
Automating Ciri Ratings Of Human Rights Reports Using Gate, Joshua M. Joiner
UNF Graduate Theses and Dissertations
This thesis involves parsing document-based reports from the United States Human Rights Reports and rating the human practices for various countries based on the CIRI (Cingranelli-Richards) Human Rights Data Project dataset. The United States Human Rights Reports are annual reports that cover internationally recognized human rights practices regarding individual, civil, political, and worker rights. Students, scholars, policymakers, and analysts used the CIRI data for practical and research purposes. CIRI analyzed the annual reports from 1981 to 2011 and then stopped releasing the dataset for any further years, but a possible reason is due to the manual process of scouring the …
Extracting A Relational Database Schema From A Document Database, Jared Thomas Wheeler
Extracting A Relational Database Schema From A Document Database, Jared Thomas Wheeler
UNF Graduate Theses and Dissertations
As NoSQL databases become increasingly used, more methodologies emerge for migrating from relational databases to NoSQL databases. Meanwhile, there is a lack of methodologies that assist in migration in the opposite direction, from NoSQL to relational. As software is being iterated upon, use cases may change. A system which was originally developed with a NoSQL database may accrue needs which require Atomic, Consistency, Isolation, and Durability (ACID) features that NoSQL systems lack, such as consistency across nodes or consistency across re-used domain objects. Shifting requirements could result in the system being changed to utilize a relational database. While there are …
Time Series Similarity Search In Distributed Key-Value Data Stores Using R-Trees, Aleksey Charapko
Time Series Similarity Search In Distributed Key-Value Data Stores Using R-Trees, Aleksey Charapko
UNF Graduate Theses and Dissertations
Time series data are sequences of data points collected at certain time intervals. The advance in mobile and sensor technologies has led to rapid growth in the available amount of time series data. The ability to search large time series data sets can be extremely useful in many applications. In healthcare, a system monitoring vital signals can perform a search against the past data and identify possible health threatening conditions. In engineering, a system can analyze performances of complicated equipment and identify possible failure situations or needs of maintenance based on historical data.
Existing search methods for time series data …
A Comparison Of Cloud Computing Database Security Algorithms, Joseph A. Hoeppner
A Comparison Of Cloud Computing Database Security Algorithms, Joseph A. Hoeppner
UNF Graduate Theses and Dissertations
The cloud database is a relatively new type of distributed database that allows companies and individuals to purchase computing time and memory from a vendor. This allows a user to only pay for the resources they use, which saves them both time and money. While the cloud in general can solve problems that have previously been too costly or time-intensive, it also opens the door to new security problems because of its distributed nature. Several approaches have been proposed to increase the security of cloud databases, though each seems to fall short in one area or another.
This thesis presents …
Trustworthiness Of Web Services, Britto N. Arockiasamy
Trustworthiness Of Web Services, Britto N. Arockiasamy
UNF Graduate Theses and Dissertations
Workflow systems orchestrate various business tasks to attain an objective. Web services can be leveraged to handle individual tasks. Before anyone intends to leverage service components, it is imperative and essential to evaluate the trustworthiness of these services. Therefore, choosing a trustworthy service has become an important decision while designing a workflow system. Trustworthiness can be defined as the likelihood of a service functioning as it is intended.
Selection of a service that satisfies business goals involves collecting relevant information such as security mechanisms, reliability, performance and availability. It is important to arrive at total trustworthiness, which incorporates all of …
A Hybrid Approach To Music Recommendation: Exploiting Collaborative Music Tags And Acoustic Features, Jaime C. Kaufman
A Hybrid Approach To Music Recommendation: Exploiting Collaborative Music Tags And Acoustic Features, Jaime C. Kaufman
UNF Graduate Theses and Dissertations
Recommendation systems make it easier for an individual to navigate through large datasets by recommending information relevant to the user. Companies such as Facebook, LinkedIn, Twitter, Netflix, Amazon, Pandora, and others utilize these types of systems in order to increase revenue by providing personalized recommendations. Recommendation systems generally use one of the two techniques: collaborative filtering (i.e., collective intelligence) and content-based filtering.
Systems using collaborative filtering recommend items based on a community of users, their preferences, and their browsing or shopping behavior. Examples include Netflix, Amazon shopping, and Last.fm. This approach has been proven effective due to increased popularity, and …
Dbunifier: A Framework For Automated Unification Of Textual Data In Multiple Remote Data Sources, John S. Dembowski
Dbunifier: A Framework For Automated Unification Of Textual Data In Multiple Remote Data Sources, John S. Dembowski
UNF Graduate Theses and Dissertations
Over time, advances in database technology and utilization have resulted in a rapid increase in the number and types of data sources. Simultaneously, numerous methods of unifying these various data sources have emerged. Research has shown that a more comprehensive set of data attribute matches between multiple schemas can be detected by combining a number of the unification methodologies as opposed to using a single method. In this research project, a unification framework, dbUNiFier, has been proposed as an approach to allow for easy integration of both existing and future unification methods and data sources.
The Incident Dispatching And Tracking System, Thomas J. Braden
The Incident Dispatching And Tracking System, Thomas J. Braden
UNF Graduate Theses and Dissertations
The Incident Dispatching and Tracking System (IDTS) was developed to facilitate the technical support of an organization. IDTS provides a means by which a user may submit their issue/problem to the system and receive a unique trouble ticket number. This number can then be used to view the status of that record, minimizing the need for inquiries to the technical support team. IDTS also provides a dispatching function that assigns each trouble ticket to a technician that specializes in that type of issue. Finally, there is a reporting function that allows the technical support team to view the current technical …