Databases and Information Systems Commons^™

Let’S Try Something New: Service Learning In Boise State's Computer Science Department, Daniel Kondratyuk

International Journal of Undergraduate Community Engagement

In this article I explain how a group of Computer Science students at Boise State University participated in a new service learning project. I provide a few testimonials on the students’ experiences and describe the rewarding aspects of service learning in the greater Computer Science community.

An Annotated Corpus With Nanomedicine And Pharmacokinetic Parameters, Nastassja Lewinski, Ivan Jimenez, Bridget Mcinnes

Chemical and Life Science Engineering Publications

A vast amount of data on nanomedicines is being generated and published, and natural language processing (NLP) approaches can automate the extraction of unstructured text-based data. Annotated corpora are a key resource for NLP and information extraction methods which employ machine learning. Although corpora are available for pharmaceuticals, resources for nanomedicines and nanotechnology are still limited. To foster nanotechnology text mining (NanoNLP) efforts, we have constructed a corpus of annotated drug product inserts taken from the US Food and Drug Administration’s Drugs@FDA online database. In this work, we present the development of the Engineered Nanomedicine Database corpus to support the …

Parsing Metamap Files In Hadoop, Amy Olex, Alberto Cano, Bridget T. Mcinnes

Computer Science Publications

The UMLS::Association CUICollector module identifies UMLS Concept Unique Identifier bigrams and their frequencies in a biomedical text corpus. CUICollector was re-implemented in Hadoop MapReduce to improve algorithm speed, flexibility, and scalability. Evaluation of the Hadoop implementation compared to the serial module produced equivalent results and achieved a 28x speedup on a single-node Hadoop system.

Road Accidents Bigdata Mining And Visualization Using Support Vector Machines, Usha Lokala, Srinivas Nowduri, Prabhakar K. Sharma

Kno.e.sis Publications

Useful information has been extracted from the road accident data in United Kingdom (UK), using data analytics method, for avoiding possible accidents in rural and urban areas. This analysis make use of several methodologies such as data integration, support vector machines (SVM), correlation machines and multinomial goodness. The entire datasets have been imported from the traffic department of UK with due permission. The information extracted from these huge datasets forms a basis for several predictions, which in turn avoid unnecessary memory lapses. Since data is expected to grow continuously over a period of time, this work primarily proposes a new …

Relatedness-Based Multi-Entity Summarization, Kalpa Gunaratna, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan, Amit Sheth, Gong Cheng

Kno.e.sis Publications

Representing world knowledge in a machine processable format is important as entities and their descriptions have fueled tremendous growth in knowledge-rich information processing platforms, services, and systems. Prominent applications of knowledge graphs include search engines (e.g., Google Search and Microsoft Bing), email clients (e.g., Gmail), and intelligent personal assistants (e.g., Google Now, Amazon Echo, and Apple’s Siri). In this paper, we present an approach that can summarize facts about a collection of entities by analyzing their relatedness in preference to summarizing each entity in isolation. Specifically, we generate informative entity summaries by selecting: (i) inter-entity facts that are similar and …

A Gamification Framework For Sensor Data Analytics, Alexandra L'Heureux, Katarina Grolinger, Wilson A. Higashino, Miriam A. M. Capretz

Electrical and Computer Engineering Publications

The Internet of Things (IoT) enables connected objects to capture, communicate, and collect information over the network through a multitude of sensors, setting the foundation for applications such as smart grids, smart cars, and smart cities. In this context, large scale analytics is needed to extract knowledge and value from the data produced by these sensors. The ability to perform analytics on these data, however, is highly limited by the difficulties of collecting labels. Indeed, the machine learning techniques used to perform analytics rely upon data labels to learn and to validate results. Historically, crowdsourcing platforms have been used to …

Semantic Inference On Clinical Documents: Combining Machine Learning Algorithms With An Inference Engine For Effective Clinical Diagnosis And Treatment, Shuo Yang, Ran Wei, Jingzhi Guo, Lida Xu

Information Technology & Decision Sciences Faculty Publications

Clinical practice calls for reliable diagnosis and optimized treatment. However, human errors in health care remain a severe issue even in industrialized countries. The application of clinical decision support systems (CDSS) casts light on this problem. However, given the great improvement in CDSS over the past several years, challenges to their wide-scale application are still present, including: 1) decision making of CDSS is complicated by the complexity of the data regarding human physiology and pathology, which could render the whole process more time-consuming by loading big data related to patients; and 2) information incompatibility among different health information systems (HIS) …

Qos Recommendation In Cloud Services, Xianrong Zheng, Li Da Xu, Sheng Chai

Information Technology & Decision Sciences Faculty Publications

As cloud computing becomes increasingly popular, cloud providers compete to offer the same or similar services over the Internet. Quality of service (QoS), which describes how well a service is performed, is an important differentiator among functionally equivalent services. It can help a firm to satisfy and win its customers. As a result, how to assist cloud providers to promote their services and cloud consumers to identify services that meet their QoS requirements becomes an important problem. In this paper, we argue for QoS-based cloud service recommendation, and propose a collaborative filtering approach using the Spearman coefficient to recommend cloud …

Industrial Wireless Sensor Networks 2016, Qindong Sun, Schancang Li, Shanshan Zhao, Hongjian Sun, Li Xu, Arumugam Nallamathan

Information Technology & Decision Sciences Faculty Publications

The industrial wireless sensor network (IWSN) is the next frontier in the Industrial Internet of Things (IIoT), which is able to help industrial organizations to gain competitive advantages in industrial manufacturing markets by increasing productivity, reducing the costs, developing new products and services, and deploying new business models.

On The Security Of Nosql Cloud Database Services, Mohammad Ahmadian

Electronic Theses and Dissertations

Processing a vast volume of data generated by web, mobile and Internet-enabled devices, necessitates a scalable and flexible data management system. Database-as-a-Service (DBaaS) is a new cloud computing paradigm, promising a cost-effective and scalable, fully-managed database functionality meeting the requirements of online data processing. Although DBaaS offers many benefits it also introduces new threats and vulnerabilities. While many traditional data processing threats remain, DBaaS introduces new challenges such as confidentiality violation and information leakage in the presence of privileged malicious insiders and adds new dimension to the data security. We address the problem of building a secure DBaaS for a …

The Relationship Between Technology Threat Avoidance And Innovation In Health Care Organizations, Melvin R. Fenner Jr

Walden Dissertations and Doctoral Studies

Most leaders of healthcare delivery organizations have increased their rate of technological innovation, but some still struggle to keep pace with other industries. The problem addressed in this study was that senior leaders in some rural ambulatory healthcare facilities failed to innovate, even with recent healthcare technological innovations, which could lead to increased medical errors and a loss of efficiency. The purpose of the study was to examine if a relationship exists between the avoidance of technology threats by senior leaders in ambulatory healthcare organizations and the innovation propensity of the organization. Technology threat avoidance theory served as the theoretical …

The Challenges Of Implementing Bring Your Own Device, Leslie Deshield

Walden Dissertations and Doctoral Studies

Research conducted by Tech Pro (2014) indicated that the Bring Your Own Device (BYOD) concept is gaining momentum with 74% of organizations already having some BYOD program or planning to implement one. While BYOD offers several benefits, it also presents challenges that concern information technology leaders and information security managers. This correlational study used the systems theory framework to examine the relationship between information security managers' intentions, perceptions of security, and compliance regarding BYOD implementation. Participants of the study consisted of information security managers in the eastern United States who had obtained the Certified Information Systems Manager certification. Data was …

How Attitude Toward The Behavior, Subjective Norm, And Perceived Behavioral Control Affects Information Security Behavior Intention, David Philip Johnson

Walden Dissertations and Doctoral Studies

The education sector is at high risk for information security (InfoSec) breaches and in need of improved security practices. Achieving data protections cannot be through technical means alone. Addressing the human behavior factor is required. Security education, training, and awareness (SETA) programs are an effective method of addressing human InfoSec behavior. Applying sociobehavioral theories to InfoSec research provides information to aid IT security program managers in developing improved SETA programs. The purpose of this correlational study was to examine through the theoretical lens of the theory of planned behavior (TPB) how attitude toward the behavior (ATT), subjective norm (SN), and …

Examining The Behavioral Intention Of Individuals' Compliance With Information Security Policies, David A. Brown

Walden Dissertations and Doctoral Studies

Target Corporation experienced an information security breach resulting in compromising customers' financial information. Management is responsible for implementing adequate information security policies that protect corporate data and minimize financial losses. The purpose of this experimental study was to examine the effect of a fear appeal communication on an individual's information security policy behavioral intention. The sample population involved information technology professionals randomly selected from the SurveyMonkey audience. A research model, developed using constructs from deterrence theory and protection motivation theory, became the structural model used for partial least squares-structural equation modeling (PLS-SEM) analysis of the survey response data, which indicated …

Strategies Information And Communication Technology Managers Use To Build Employee Competencies, Thulaganyo Arnold Rabogadi

Walden Dissertations and Doctoral Studies

The World Economic Forum (WEF) found that Botswana's information and communication technology (ICT) networked readiness index (NRI) had declined from position 89 in 2012 to 104 in 2015. A decline in Botswana's ICT NRI resulted in a modest gross domestic product (GDP) growth increasing from 4.2% in 2012 to 5.0% in 2015. The purpose of this qualitative multiple case study was to explore strategies ICT service provider managers use to build employee competencies to address ICT infrastructure performance deficiencies. The target population for this study consisted of over 120 managers from 2 ICT service providers located in Gaborone and Francistown …

Security Strategies For Hosting Sensitive Information In The Commercial Cloud, Edward Steven Forde

Walden Dissertations and Doctoral Studies

IT experts often struggle to find strategies to secure data on the cloud. Although current security standards might provide cloud compliance, they fail to offer guarantees of security assurance. The purpose of this qualitative case study was to explore the strategies used by IT security managers to host sensitive information in the commercial cloud. The study's population consisted of information security managers from a government agency in the eastern region of the United States. The routine active theory, developed by Cohen and Felson, was used as the conceptual framework for the study. The data collection process included IT security manager …

Information Technology Training To Promote Collaboration Among Multiple Generations, Gregg Foster

Walden Dissertations and Doctoral Studies

The decision to implement information technology (IT) initiatives to enhance collaboration among veterans, baby boomers, Generation X, Generation Y, and Fifth Generation employees continues to challenge organizational leaders. The purpose of this nonexperimental study was to identify how the implementation of information technology initiatives, coupled with the knowledge of learning styles, might enhance collaboration among generational cohort employees. The generational cohort theory, Maslow's hierarchy of needs theory, and the technology acceptance model were the theoretical frameworks used to develop an understanding of the relationships among the cohorts and the acceptance of technology to enhance collaboration. Data were collected from a …

Forcing Optimality And Brandt's Principle, Domenico Napoletani, Marco Panza, Daniele C. Struppa

Mathematics, Physics, and Computer Science Faculty Books and Book Chapters

We argue that many optimization methods can be viewed as representatives of “forcing”, a methodological approach that attempts to bridge the gap between data and mathematics on the basis of an a priori trust in the power of a mathematical technique, even when detailed, credible models of a phenomenon are lacking or do not justify the use of this technique. In particular, we show that forcing is implied in particle swarms optimization methods, and in modeling image processing problems through optimization. From these considerations, we extrapolate a principle for general data analysis methods, what we call ‘Brandt’s principle’, namely the …

A Novel Approach For Classifying Gene Expression Data Using Topic Modeling, Soon Jye Kho, Himi Yalamanchili, Michael L. Raymer, Amit Sheth

Kno.e.sis Publications

Understanding the role of differential gene expression in cancer etiology and cellular process is a complex problem that continues to pose a challenge due to sheer number of genes and inter-related biological processes involved. In this paper, we employ an unsupervised topic model, Latent Dirichlet Allocation (LDA) to mitigate overfitting of high-dimensionality gene expression data and to facilitate understanding of the associated pathways. LDA has been recently applied for clustering and exploring genomic data but not for classification and prediction. Here, we proposed to use LDA inclustering as well as in classification of cancer and healthy tissues using lung cancer …

Oasis - Identifying The Core Attributes For Rdbms Alternatives, Benjamin P. Mcpherson

College of Graduate Studies: Theses & Dissertations

Since their introduction in the 1970s, relational database management systems have served as the dominate data storage technology. However, the demands of big data and Web 2.0 necessitated a change in the market, sparking the beginning of the NoSQL movement in the late 2000s. NoSQL databases exchanged the relational model and the guaranteed consistency of ACID transactions for improved performance and massive scalability [1]. While the benefits NoSQL provided proved useful, the lack of sufficient SQL functionality presented a major hurdle for organizations which require it to properly operate. It was clear that new RDBMS solutions which did not compromise …

Concept-Based Interactive Search System, Yi-Jie Lu, Phuong Anh Nguyen, Hao Zhang, Chong-Wah Ngo

Research Collection School Of Computing and Information Systems

Our successful multimedia event detection system at TREC-VID 2015 showed its strength on handling complex concepts in a query. The system was based on a large number of pre-trained concept detectors for textual-to-visual relation. In this paper, we enhance the system by enabling human-in-the-loop. In order to facilitate a user to quickly find an information need, we incorporate concept screening, video reranking by highlighted concepts, relevance feedback and color sketch to refine a coarse retrieval result. The aim is to eventually come up with a system suitable for both Ad-hoc Video Search and Known-Item Search. In addition, as the increasing …

Xic Clustering By Baseyian Network, Kyle J. Handy

Graduate Student Theses, Dissertations, & Professional Papers

No abstract provided.

Information Communication Technology Management As A Gdp Growth Contributor Within Arab League Nations, Jamal Alexander Thompson

Walden Dissertations and Doctoral Studies

The general problem addressed in this study was Arab League nations' over-reliance on fossil fuels as a gross domestic product (GDP) growth driver. Arab League nations that depend primarily on fossil fuel production lack alternative resources for growth in times of fossil fuel usage or price decline. Overdependence on fossil fuels has led to minimal development in other economic sectors, primarily in skilled domestic labor, and to a high dependency on foreign skilled labor for skilled domestic jobs. The purpose of this study was to examine to what extent information communication technology (ICT) management can be a viable GDP growth …

Collaboration Strategies To Reduce Technical Debt, Jeffrey Allen Miko

Walden Dissertations and Doctoral Studies

Inadequate software development collaboration processes can allow technical debt to accumulate increasing future maintenance costs and the chance of system failures. The purpose of this qualitative case study was to explore collaboration strategies software development leaders use to reduce the amount of technical debt created by software developers. The study population was software development leaders experienced with collaboration and technical debt at a large health care provider in the state of California. The data collection process included interviews with 8 software development leaders and reviewing 19 organizational documents relating to software development methods. The extended technology acceptance model was used …

Strategies To Improve Engagement Among Public Sector Information Technology Employees, Michelle Dawn Benham

Walden Dissertations and Doctoral Studies

Disengaged employees decrease organizations' efficiencies and profitability. Engaged employees provide greater productivity and performance while being less likely to incur job burnout and exhaustion. However, public sector organizational leaders still struggle to engage their information technology (IT) employees. Partnering with a large public sector organization in the Phoenix, Arizona, metropolitan area, in a case study design, this study explored the strategies that public sector business leaders use to increase productivity through engaging IT employees. The conceptual framework for this study was the job demands-resources framework. Four participants were selected through purposeful sampling from a population of 7 IT leaders who …

Threat Intelligence In Support Of Cyber Situation Awareness, Billy Paul Gilliam

Walden Dissertations and Doctoral Studies

Despite technological advances in the information security field, attacks by unauthorized individuals and groups continue to penetrate defenses. Due to the rapidly changing environment of the Internet, the appearance of newly developed malicious software or attack techniques accelerates while security professionals continue in a reactive posture with limited time for identifying new threats. The problem addressed in this study was the perceived value of threat intelligence as a proactive process for information security. The purpose of this study was to explore how situation awareness is enhanced by receiving advanced intelligence reports resulting in better decision-making for proper response to security …

Data Mining By Grid Computing In The Search For Extrasolar Planets, Oisin Creaner [Thesis]

Doctoral

A system is presented here to provide improved precision in ensemble differential photometry. This is achieved by using the power of grid computing to analyse astronomical catalogues. This produces new catalogues of optimised pointings for each star, which maximise the number and quality of reference stars available. Astronomical phenomena such as exoplanet transits and small-scale structure within quasars may be observed by means of millimagnitude photometric variability on the timescale of minutes to hours. Because of atmospheric distortion, ground-based observations of these phenomena require the use of differential photometry whereby the target is compared with one or more reference stars. …

A Semantics-Based Measure Of Emoji Similarity, Sanjaya Wijeratne, Lakshika Balasuriya, Amit Sheth, Derek Doran

Kno.e.sis Publications

Emoji have grown to become one of the most important forms of communication on the web. With its widespread use, measuring the similarity of emoji has become an important problem for contemporary text processing since it lies at the heart of sentiment analysis, search, and interface design tasks. This paper presents a comprehensive analysis of the semantic similarity of emoji through embedding models that are learned over machine-readable emoji meanings in the EmojiNet knowledge base. Using emoji descriptions, emoji sense labels and emoji sense definitions, and with different training corpora obtained from Twitter and Google News, we develop and test …

Identifying Depressive Disorder In The Twitter Population, Goonmeet Bajaj, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan, Amit Sheth

Kno.e.sis Publications

Depression is a highly prevalent public health challenge and a major cause of disability across the globe.

• Annually 6.7% of Americans (that is, more than 16 million).
• Traditional approaches to curb depression involve survey·based methods via phone or online questionnaires.
• Large temporal gaps and cognitive bias.

Social media provides a method for learning users' feelings, emotions, behaviors, and decisions in real-time.

Essays On Sofwtare Development Projects: Impact Of Social And Technological Factors On Project Performance And Co-Diffusion Of Software Sourcing Arrangements, Niharika Dayyala

Open Access Theses & Dissertations

Software development is a complicated process which is accomplished by the combined effort of the key elements such as people, processes, and technology. Software development firms are on a constant quest to identify the best practices for managing the key elements to improve their software development project outcomes and to deliver successful software projects. This Dissertation aims to study key elements that can influence the software development project performance through three distinctive studies. The first essay of this Dissertation investigates the impact of people factors on software project outcomes. Specifically, it examines the impact of team characteristics on the software …