Computer Sciences Commons^™

Relate Promotion Tool, David Nutt

Williams Honors College, Honors Research Projects

This paper contains the documentation of a standalone application used to expedite promotion creation and reflections of the development process.

U.S. Census Explorer: A Gui And Visualization Tool For The U.S. Census Data Api, Timothy Snyder

Williams Honors College, Honors Research Projects

U.S. Census Explorer is a software application that is designed to provide tools for intuitive exploration and analysis of United States census data for non-technical users. The application serves as an interface into the U.S. Census Bureau’s data API that enables a complete workflow from data acquisition to data visualization without the need for technical intervention from the user. The suite of tools provided include a graphical user interface for dynamically querying U.S. census data, geographic visualizations, and the ability to download your work to common spreadsheet and image formats for inclusion in external works.

Perceptions Of Factors That Contribute To Employee Retention Of It Project Managers, Julie Ann Wiebell

Walden Dissertations and Doctoral Studies

The low retention rate of information technology (IT) project managers from a region in the southeastern United States has increased an organization's operational costs and decreased the organization's global competitiveness. The conceptual foundation for this study was the resource-based theory of competitive advantage. This multiple case study explored IT project managers' perceptions of the factors that contributed to their retention. Participants in the study included 10 IT project managers with at least 5 years of experience who were also members of a chapter of the Project Management Institute (PMI). Semistructured interviews were conducted via teleconference to collect data that were …

Mobile Technology Deployment Strategies For Improving The Quality Of Healthcare, Won K. Song

Walden Dissertations and Doctoral Studies

Ineffective deployment of mobile technology jeopardizes healthcare quality, cost control, and access, resulting in healthcare organizations losing customers and revenue. A multiple case study was conducted to explore the strategies that chief information officers (CIOs) used for the effective deployment of mobile technology in healthcare organizations. The study population consisted of 3 healthcare CIOs and 2 healthcare information technology consultants who have experience in deploying mobile technology in a healthcare organization in the United States. The conceptual framework that grounded the study was Wallace and Iyer's health information technology value hierarchy. Data were collected using semistructured interviews and document reviews, …

A Delphi Study Analysis Of Best Practices For Data Quality And Management In Healthcare Information Systems, Olivia L. Pollard

Walden Dissertations and Doctoral Studies

Healthcare in the US continues to suffer from the poor data quality practices processes that would ensure accuracy of patient health care records and information. A lack of current scholarly research on best practices in data quality and records management has failed to identify potential flaws within the relatively new electronic health records environment that affect not only patient safety but also cost, reimbursements, services, and most importantly, patient safety. The focus of this study was to current best practices using a panel of 25 health care industry data quality experts. The conceptual lens was developed from the International Monetary …

Telehealth Implementation Strategies For Healthcare Providers, Ismaila Gbenga Olatinwo

Walden Dissertations and Doctoral Studies

The shift in the landscape of healthcare services from inpatient care to outpatient care prompts healthcare leaders to re-evaluate their strategies to boost declining revenue. Telehealth offers potential for increasing efficiency and access to care, and the acceptance of its modal quality is essential for its diffusion and adoption. The purpose of this single case study was to explore strategies that healthcare providers used to implement telehealth to increase profitability. The conceptual framework was the technology acceptance model. Data were collected through semistructured interviews and review of organizational documents. The research population comprised 4 healthcare leaders in 1 organization in …

Adoption Of Cloud Computing Services In An Illinois-Based Insurance Company, Nekerral Polk

Walden Dissertations and Doctoral Studies

The decision to adopt cloud computing services should involve business units of an insurance company as well as information technology (IT) because cloud computing services are viewed as both a technology offering and business alternative. The purpose of this qualitative exploratory case study was to explore the strategies used by IT architects of an Illinois-based insurance company when adopting cloud computing services. The theory supporting this study was the technology acceptance model. The study's population consisted of IT architects from an Illinois-based insurance company that have used strategies to adopt cloud computing services. This study's data collection included semistructured interviews …

Leadership Strategies For Improving Employee Engagement In The Information Technology Industry, Geneva L. Reed

Walden Dissertations and Doctoral Studies

Disengaged employees in the information technology industry lead to decreased productivity, increased absenteeism, poor job performance, higher employee turnover, and reduced organizational effectiveness. The purpose of this multiple case study was to explore the leadership strategies that information technology leaders used to improve employee engagement. The transformational leadership theory was the conceptual framework for this study. Data were collected through semistructured interviews with 3 leaders of information technology companies in Illinois and a review of company documents. Data were analyzed through thematic analysis and using Yin's 5-step process of compiling, disassembling, reassembling, interpreting, and concluding data. The 3 emergent themes …

Big Data Investment And Knowledge Integration In Academic Libraries, Saher Manaseer, Afnan R. Alawneh, Dua Asoudi

Copyright, Fair Use, Scholarly Communication, etc.

Recently, big data investment has become important for organizations, especially with the fast growth of data following the huge expansion in the usage of social media applications, and websites. Many organizations depend on extracting and reaching the needed reports and statistics. As the investments on big data and its storage have become major challenges for organizations, many technologies and methods have been developed to tackle those challenges.

One of such technologies is Hadoop, a framework that is used to divide big data into packages and distribute those packages through nodes to be processed, consuming less cost than the traditional storage …

Automated Essay Evaluation Using Natural Language Processing And Machine Learning, Harshanthi Ghanta

Theses and Dissertations

The goal of automated essay evaluation is to assign grades to essays and provide feedback using computers. Automated evaluation is increasingly being used in classrooms and online exams. The aim of this project is to develop machine learning models for performing automated essay scoring and evaluate their performance. In this research, a publicly available essay data set was used to train and test the efficacy of the adopted techniques. Natural language processing techniques were used to extract features from essays in the dataset. Three different existing machine learning algorithms were used on the chosen dataset. The data was divided into …

Global Inference For Aspect And Opinion Terms Co-Extraction Based On Multi-Task Neural Networks, Jianfei Yu, Jing Jiang, Rui Xia

Research Collection School Of Computing and Information Systems

Extracting aspect terms and opinion terms are two fundamental tasks in opinion mining. The recent success of deep learning has inspired various neural network architectures, which have been shown to achieve highly competitive performance in these two tasks. However, most existing methods fail to explicitly consider the syntactic relations among aspect terms and opinion terms, which may lead to the inconsistencies between the model predictions and the syntactic constraints. To this end, we first apply a multi-task learning framework to implicitly capture the relations between the two tasks, and then propose a global inference method by explicitly modelling several syntactic …

Semi-Supervised Deep Embedded Clustering, Yazhou Ren, Kangrong Hu, Xinyi Dai, Lili Pan, Steven C. H. Hoi, Zenglin Xu

Research Collection School Of Computing and Information Systems

Clustering is an important topic in machine learning and data mining. Recently, deep clustering, which learns feature representations for clustering tasks using deep neural networks, has attracted increasing attention for various clustering applications. Deep embedded clustering (DEC) is one of the state-of-theart deep clustering methods. However, DEC does not make use of prior knowledge to guide the learning process. In this paper, we propose a new scheme of semi-supervised deep embedded clustering (SDEC) to overcome this limitation. Concretely, SDEC learns feature representations that favor the clustering tasks and performs clustering assignments simultaneously. In contrast to DEC, SDEC incorporates pairwise constraints …

Two-Sided Value-Based Music Artist Recommendation In Streaming Music Services, J. Ren, Robert John Kauffman, D. King

Research Collection School Of Computing and Information Systems

Most work on music recommendations has focused on the consumer side not the provider side. We develop a two-sided value-based approach to music artist recommendation for a streaming music scenario. It combines the value yielded for the music industry and consumers in an integrated model. For the industry, the approach aims to increase the conversion rate of potential listeners to adopters, which produces new revenue. For consumers, it aims to improve their utility related to recommendations they receive. We use one year of listening records for 15,000+ Last.fm users to train and test the proposed recommendation model on 143 artists. …

Renegotiation Of Software Outsourcing Contracts, H. Huang, X. Hu, Robert John Kauffman, H. Xu

Research Collection School Of Computing and Information Systems

Fixed-price and time-and-materials contracts are commonly-used contract forms by clients in software outsourcing. The two parties, client and provider, usually renegotiate the testing time after system development occurs. This research investigates the impacts of such renegotiation on the client’s contract choice. Our analysis shows that under both contract forms, renegotiation can incentivize the provider’s effort, and this effect becomes more influential when the provider has higher bargaining power. Compared with a fixedprice contract, a time-and-materials contract can stimulate the provider’s effort based on the terms for monitoring and reimbursement. The results suggest that when the provider has high bargaining power, …

Large Scale Online Multiple Kernel Regression With Application To Time-Series Prediction, Doyen Sahoo, Steven C. H. Hoi, Bin Lin

Research Collection School Of Computing and Information Systems

Kernel-based regression represents an important family of learning techniques for solving challenging regression tasks with non-linear patterns. Despite being studied extensively, most of the existing work suffers from two major drawbacks as follows: (i) they are often designed for solving regression tasks in a batch learning setting, making them not only computationally inefficient and but also poorly scalable in real-world applications where data arrives sequentially; and (ii) they usually assume that a fixed kernel function is given prior to the learning task, which could result in poor performance if the chosen kernel is inappropriate. To overcome these drawbacks, this work …

Modeling Location-Based Social Network Data With Area Attraction And Neighborhood Competition, Thanh Nam Doan, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

Modeling user check-in behavior helps us gain useful insights about venues as well as the users visiting them. These insights are important in urban planning and recommender system applications. Since check-in behavior is the result of multiple factors, this paper focuses on studying two venue related factors, namely, area attraction and neighborhood competition. The former refers to the ability of a spatial area covering multiple venues to collectively attract check-ins from users, while the latter represents the extent to which a venue can compete with other venues in the same area for check-ins. We first embark on empirical studies to …

An Economic Analysis Of Consumer Learning On Entertainment Shopping Websites, Jin Li, Zhiling Guo, Geoffrey K.F. Tso

Research Collection School Of Computing and Information Systems

Online entertainment shopping, normally supported by the pay-to-bid auction mechanism, represents an innovative business model in e-commerce. Because the unique selling mechanism combines features of shopping and online auction, consumers expect both monetary return and entertainment value from their participation. We propose a dynamic structural model to analyze consumer behaviors on entertainment shopping websites. The model captures the consumer learning process, based both on individual participation experiences and also on observational learning of historical auction information. We estimate the model using a large data set from an online entertainment shopping website. Results show that consumers’ initial participation incentives mainly come …

Online Burst Events Detection Oriented Real-Time Microblog Message Stream, Guozhong Dong, Jun Gao, Liang Huang, Chunlei Shi

Research Collection School Of Computing and Information Systems

The rapid spread of microblog messages and sensitivity of unexpected events make microblog become the public opinion center of burst events. Online burst events detection oriented real-time microblog message stream has become an important research problem in the field of microblog public opinion. Because of the large amount of real-time microblog message stream and irregular language of microblog message, it is important to process real-time microblog message stream and detect burst events accurately. In this paper, an online burst events detection framework is proposed. In this framework, abnormal messages are detected based on sliding time window and two-level hash table. …

Artificial Intelligence, Machine Learning, And Autonomous Technologies In Mining Industry, Zeshan Hyder, Keng Siau, Fiona Nah

Research Collection School Of Computing and Information Systems

The implementation of artificial intelligence (AI), machine learning, and autonomous technologies in the mining industry started about a decade ago with autonomous trucks. Artificial intelligence, machine learning, and autonomous technologies provide many economic benefits for the mining industry through cost reduction, efficiency, and improving productivity, reducing exposure of workers to hazardous conditions, continuous production, and improved safety. However, the implementation of these technologies has faced economic, financial, technological, workforce, and social challenges. This article discusses the current status of AI, machine learning, and autonomous technologies implementation in the mining industry and highlights potential areas of future application. The article presents …

The Global Disinformation Order: 2019 Global Inventory Of Organised Social Media Manipulation, Samantha Bradshaw, Philip N. Howard

Copyright, Fair Use, Scholarly Communication, etc.

Executive Summary

Over the past three years, we have monitored the global organization of social media manipulation by governments and political parties. Our 2019 report analyses the trends of computational propaganda and the evolving tools, capacities, strategies, and resources.

1. Evidence of organized social media manipulation campaigns which have taken place in 70 countries, up from 48 countries in 2018 and 28 countries in 2017. In each country, there is at least one political party or government agency using social media to shape public attitudes domestically.

2.Social media has become co-opted by many authoritarian regimes. In 26 countries, computational propaganda …

Innovation Strategies In Small Agrarian Businesses In Sierra Leone, Solomon Sorba Scholz

Walden Dissertations and Doctoral Studies

In 2015, a sharp decline in the sustainability of small agrarian businesses in Sierra Leone resulted in the gross domestic product declining by 41%. The purpose of this multiple case study was to explore the innovation strategies owners of small agrarian businesses use to sustain their businesses for longer than 5 years. The disruptive innovation theory was the conceptual framework for this study. The participants were 16 owners of small agrarian businesses from Makeni, Kenema, Bo, and Freetown districts in Sierra Leone who have sustained their businesses for longer than 5 years. Data were collected using semistructured interviews, personal notes, …

Public Servants' Perceptions Of The Cybersecurity Posture Of The Local Government In Puerto Rico, Julio C. Rodriguez

Walden Dissertations and Doctoral Studies

The absence of legislation, the lack of a standard cybersecurity framework, and the failure to adopt a resilient cybersecurity posture can be detrimental to the availability, confidentiality, and integrity of municipal information systems. The purpose of this phenomenological study was to understand the cybersecurity posture of municipalities from the perception of public servants serving in information technology (IT) leadership roles in highly populated municipalities in the San Juan-Carolina-Caguas Metropolitan Statistical Area of Puerto Rico. The study was also used to address key factors influencing the cybersecurity posture of these municipalities. The theoretical framework was open system theory used in combination …

Exploring Data Security Management Strategies For Preventing Data Breaches, Michael Samuel Ofori-Duodu

Walden Dissertations and Doctoral Studies

Insider threat continues to pose a risk to organizations, and in some cases, the country at large. Data breach events continue to show the insider threat risk has not subsided. This qualitative case study sought to explore the data security management strategies used by database and system administrators to prevent data breaches by malicious insiders. The study population consisted of database administrators and system administrators from a government contracting agency in the northeastern region of the United States. The general systems theory, developed by Von Bertalanffy, was used as the conceptual framework for the research study. The data collection process …

Relationship Between Time Estimation, Cost Estimation, And Project Performance, Eyas Nakhleh

Walden Dissertations and Doctoral Studies

Although the project management role is increasing, project failure rates remain high. Project time and cost are 2 project factors that can affect the performance of the projects. The purpose of this correlational study was to examine the relationship between time estimation, cost estimation, and project performance. Data collection involved a purposive sample of 67 project sponsors, managers, and coordinators in Qatar. The theoretical framework was the iron triangle, also known as the triple constraints. Participants were randomly invited to answer 18 questions using the project implementation profile instrument. A standard multiple regression analysis was used to examine the correlation …

The Application Of Cloud Resources To Terrain Data Visualization, Gregory J. Larrick

EWU Masters Thesis Collection

In this thesis, the recent trends in cloud computing, via virtual machine hosted servers, are applied to the field of big data visualization. In particular, we investigate the visualization of terrain data acquired from several major open data sets with a graphics library for browser based rendering. Similar terrain data visualization solutions have not fully taken advantage of remote computational resources. In this thesis, we show that, by using a collection of Amazon EC-2 machines for fetching and decoding of terrain data, in conjunction with modern graphics libraries, three dimensional terrain information may be viewed and interacted with by many …

Utilization Of Various Methods And A Landsat Ndvi/Google Earth Engine Product For Classifying Irrigated Land Cover, Andrew Nemecek

Graduate Student Theses, Dissertations, & Professional Papers

Methods for classifying irrigated land cover are often complex and not quickly reproducible. Further, moderate resolution time-series datasets have been consistently utilized to produce irrigated land cover products over the past decade, and the body of irrigation classification literature contains no examples of subclassification of irrigated land cover by irrigation method. Creation of geospatial irrigated land cover products with higher resolution datasets could improve reliability, and subclassification of irrigation by method could provide better information for hydrologists and climatologists attempting to model the role of irrigation in the surface-ground water cycle and the water-energy balance. This study summarizes a simple, …

The Relationship Between Housing Affordability And Demographic Factors: Case Study For The Atlanta Beltline, Chapman T. Lindstrom

College of Graduate Studies: Theses & Dissertations

Housing affordability has been a widely examined subject for populations residing in major metropolitan regions around the world. The relationship between housing affordability and the city’s demographics and its volume of urban development are important to take into consideration. In the past two decades there has been an increasing volume of literature detailing Atlanta Georgia’s large-scale redevelopment project, the Atlanta BeltLine (ABL), and its relationship with Atlanta’s Metropolitan population and housing affordability. The first objective of this paper is to study the relationship between housing affordability at two scales within the Atlanta Metropolitan Area (AMA) for both renters and homeowners. …

Storage Systems For Mobile-Cloud Applications, Nafize R. Paiker

Dissertations

Mobile devices have become the major computing platform in todays world. However, some apps on mobile devices still suffer from insufficient computing and energy resources. A key solution is to offload resource-demanding computing tasks from mobile devices to the cloud. This leads to a scenario where computing tasks in the same application run concurrently on both the mobile device and the cloud.

This dissertation aims to ensure that the tasks in a mobile app that employs offloading can access and share files concurrently on the mobile and the cloud in a manner that is efficient, consistent, and transparent to locations. …

Perancangan Strategis Sistem Informasi Di Smk Diponegoro 1 Jakarta, Iwan Supriyantoko

Elinvo (Electronics, Informatics, and Vocational Education)

SMK Diponegoro 1 Jakarta merupakan lembaga pendidikan pada Yayasan Al-Hidayah Jakarta yang berada di Jakarta Timur. Sebagai lembaga pendidikan yang tergolong lama, SMK Diponegoro 1 Jakarta berkembang dengan pesat, namum belum menerapkan Sistem Informasi dan Teknologi Informasi secara optimal dalam proses bisnisnya dan belum memiliki sebuah portofolio perencanaan strategis Sistem Informasi. Sehingga dipandang perlu dalam membuat sebuah sistem informasi strategis, guna memberikan unggulan dalam persaingan bisnisnya. Perencanaan strategis sistem informasi menjadi salah satu kunci dalam menerapkan sistem informasi dan teknologi informasi pada kegiatan bisnis. Perencanaan strategis yang tepat dapat mendukung rencana dan pengembangan bisnis organisasi. Bentuk perencanaan strategis yang akan …

Russia Today, Cyberterrorists Tomorrow: U.S. Failure To Prepare Democracy For Cyberspace, Jonathan F. Lancelot

Journal of Digital Forensics, Security and Law

This paper is designed to expose vulnerabilities within the US electoral system, the use of cyberspace to exploit weaknesses within the information assurance strategies of the democratic and republican party organizations, and deficiencies within the social media communications and voting machine exploits. A brief history of discriminatory practices in voting rights and voting access will be set as the foundation for the argument that the system is vulnerable in the cyber age, and the need for reform at the local, state and national levels will be emphasized. The possibility of a foreign nation-state influencing the outcome of an election by …