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open access

Stock2Vec: An Embedding to Improve Predictive Models for Companies

Description: Building predictive models for companies often relies on inference using historical data of companies in the same industry sector. However, companies are similar across a variety of dimensions that should be leveraged in relevant prediction problems. This is particularly true for large, complex organizations which may not be well defined by a single industry and have no clear peers. To enable prediction using company information across a variety of dimensions, we create an embedding of company … more
Date: June 2022
Creator: Yi, Ziruo; Xiao, Ting; Kaz-Onyeakazi, Ijeoma; Ratnam, Cheran; Medeiros, Theophilus; Nelson, Phillip et al.
Partner: UNT College of Information
open access

An Interactive Web-Based Dashboard to Examine Trending Topics: Application to Financial Journals

Description: Understanding trends is helpful to identify future behaviors in the field, and the roles of people, places, and institutions in setting those trends. Although traditional clustering strategies can group articles into topics, these techniques do not focus on topics over limited timescales; additionally, even when articles are grouped, the generated results are extensive and difficult to navigate. To address these concerns, we create an interactive dashboard that helps an expert in the field to b… more
Date: June 2022
Creator: Phan, Ngoc; Madali, Nayana Pampapura; Behpour, Sahar & Xiao, Ting
Partner: UNT College of Information

Peptide-based hidden Markov model for peptide fingerprint mapping.

Description: Peptide mass fingerprinting (PMF) was the first automated method for protein identification in proteomics, and it remains in common usage today because of its simplicity and the low equipment costs for generating fingerprints. However, one of the problems with PMF is its limited specificity and sensitivity in protein identification. Here I present a method that shows potential to significantly enhance the accuracy of peptide mass fingerprinting, using a machine learning approach based on a hidd… more
Access: Restricted to UNT Community Members. Login required if off-campus.
Date: December 2004
Creator: Yang, Dongmei
Partner: UNT Libraries
open access

Web-based airline ticket booking system.

Description: Online airline ticket booking system is one of the essential applications of E-commerce. With the development of Internet and security technology, more and more people begin to consume online, which is more convenient and personal than traditional way. The goal of this system is to make people purchase airline tickets easily. The system is written in JAVATM. Chapter 1 will introduce some basic conception of the technologies have been used in this system. Chapter 2 shows how the database and the… more
Date: August 2004
Creator: Yu, Jianming
Partner: UNT Libraries

Automatic Software Test Data Generation

Description: In software testing, it is often desirable to find test inputs that exercise specific program features. Finding these inputs manually, is extremely time consuming, especially, when the software being tested is complex. Therefore, there have been numerous attempts automate this process. Random test data generation consists of generating test inputs at random, in the hope that they will exercise the desired software features. Often the desired inputs must satisfy complex constraints, and this mak… more
Access: Restricted to UNT Community Members. Login required if off-campus.
Date: December 2002
Creator: Munugala, Ajay Kumar
Partner: UNT Libraries
open access

Exploratory User Research for Computational Resource for South Asian Languages

Description: Report for the project, Exploratory User Research for CoRSAL, which was an exploratory ethnographic study to generate a foundational understanding of how different user groups might use a planned language archive for South Asian languages. Their research project was to be used by the CoRSAL team to help plan the design of CoRSAL’s infrastructure, and laid the groundwork for further studies that will take a deeper look at issues surrounding the design and use of the planned language archive.
Date: December 7, 2016
Creator: Al Smadi, Duha; Barnes, Sebastian; Blair, Molly; Chong, Miyoung; Cole-Jett, Robin; Davis, Aaron et al.
Partner: UNT College of Arts and Sciences
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