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Articles 1 - 7 of 7
Full-Text Articles in Databases and Information Systems
Information Extraction And Classification On Journal Papers, Lei Yu
Information Extraction And Classification On Journal Papers, Lei Yu
Department of Computer Science and Engineering: Dissertations, Theses, and Student Research
The importance of journals for diffusing the results of scientific research has increased considerably. In the digital era, Portable Document Format (PDF) became the established format of electronic journal articles. This structured form, combined with a regular and wide dissemination, spread scientific advancements easily and quickly. However, the rapidly increasing numbers of published scientific articles requires more time and effort on systematic literature reviews, searches and screens. The comprehension and extraction of useful information from the digital documents is also a challenging task, due to the complex structure of PDF.
To help a soil science team from the United States …
Enhancing Usability And Explainability Of Data Systems, Anna Fariha
Enhancing Usability And Explainability Of Data Systems, Anna Fariha
Doctoral Dissertations
The recent growth of data science expanded its reach to an ever-growing user base of nonexperts, increasing the need for usability, understandability, and explainability in these systems. Enhancing usability makes data systems accessible to people with different skills and backgrounds alike, leading to democratization of data systems. Furthermore, proper understanding of data and data-driven systems is necessary for the users to trust the function of the systems that learn from data. Finally, data systems should be transparent: when a data system behaves unexpectedly or malfunctions, the users deserve proper explanation of what caused the observed incident. Unfortunately, …
Metaxmorph: Hierarchical Transformation Of Data With Metadata, Shubham Airan
Metaxmorph: Hierarchical Transformation Of Data With Metadata, Shubham Airan
All Graduate Theses and Dissertations, Spring 1920 to Summer 2023
This research is about transforming data. Data comes in different shapes; it can be structured as a graph, a tree, a collection of tables, or some other shape. In this thesis, we focus on data structured as a tree, which is known as hierarchical data. The same data could be structured in many different tree shapes. Previously it was shown how to transform data from one tree shape, one hierarchy to another without losing any information. But sometimes the pieces of the hierarchy are annotated or associated with metadata, that is, with data about the data itself. The metadata can …
Multilateration Index., Chip Lynch
Multilateration Index., Chip Lynch
Electronic Theses and Dissertations
We present an alternative method for pre-processing and storing point data, particularly for Geospatial points, by storing multilateration distances to fixed points rather than coordinates such as Latitude and Longitude. We explore the use of this data to improve query performance for some distance related queries such as nearest neighbor and query-within-radius (i.e. “find all points in a set P within distance d of query point q”). Further, we discuss the problem of “Network Adequacy” common to medical and communications businesses, to analyze questions such as “are at least 90% of patients living within 50 miles of a covered emergency …
Accelerating Aggregation Efficiency: Using Postgres As A Cache With Mongodb, Mason Q. Porter-Brown
Accelerating Aggregation Efficiency: Using Postgres As A Cache With Mongodb, Mason Q. Porter-Brown
Senior Projects Fall 2021
For decades now relational databases, namely SQL, have been the industry standard. However, recently MongoDB and other NoSQL databases have been growing in popularity due to their flexibility and scalability. SQL still has the upper hand in a variety of areas, including data consistency, advanced and established analytics functions, and efficient “JOIN” functions. This project focuses on MongoDB’s shortcomings when it comes to replicating “JOIN” operations using MongoDB’s aggregate functions. “JOIN” operations refer to the action of comparing data from one or more collections of data and joining similar data together in order to analyze and draw statistics from the …
Football’S Future: An Analytical Interpretation Of The Premier League, Hunter Witeof
Football’S Future: An Analytical Interpretation Of The Premier League, Hunter Witeof
Williams Honors College, Honors Research Projects
This project looks to take the statistics of soccer players and run them through an algorithm to determine how well a player is performing. The system that will be designed in the project will look to accomplish 3 main goals: allow the user to enter new statistics, store the data for all 38 game weeks for all 20 teams, and compute a score for each player’s performance for each game as well as the average of all of the player's scores.
A Deductive Database For Knot Colourings, Dong Hyun Han
A Deductive Database For Knot Colourings, Dong Hyun Han
Senior Projects Spring 2021
This work constitutes progress toward the development of a knowledge base for braids, knots, and their colourings. The main result of this development is the creation of a logical model for storing data pertaining to braids, two-dimensional projections of three dimensional knots, finite quandles, and colorings of braids and knots by quandles. It uses the Entity Relationship data reference model as its starting point and makes the original design there. In addition, it includes a conversion of the Entity Relationship Diagram (ERD) to SQL queries that define tables corresponding to the ERD entity sets. Finally this work demonstrates how to …