Computer Sciences Commons^™

Hypotheses Generation As Supervised Link Discovery With Automated Class Labeling On Large-Scale Biomedical Concept Networks, Jayasimha R. Katukuri, Ying Xie, Vijay Raghavan, Ashish Gupta

Faculty Articles

Computational approaches to generate hypotheses from biomedical literature have been studied intensively in recent years. Nevertheless, it still remains a challenge to automatically discover novel, cross-silo biomedical hypotheses from large-scale literature repositories. In order to address this challenge, we first model a biomedical literature repository as a comprehensive network of biomedical concepts and formulate hypotheses generation as a process of link discovery on the concept network. We extract the relevant information from the biomedical literature corpus and generate a concept network and concept-author map on a cluster using Map-Reduce framework. We extract a set of heterogeneous features such as random …

Deployment Evaluation Of Accounting Information Systems In Libyan Commercial Banks, Omar Sharkasi, Martin George Wynn

The African Journal of Information Systems

This article reports on the recent implementation and current deployment of accounting information systems in Libyan commercial banks. A case study approach is adopted that moves from an initial screening of the 14 main Libyan banks to a final in-depth study of just three banks. Business process modeling and systems profiling are used to assess the status of the banks in terms of systems use, process change and information systems strategy development. Libyan banks are well advanced in their installation of modern packaged software but could be used to greater effect to optimize business processes and improve efficiencies. Training and …

Georgia Knowledge Repository: Potential For The State, Marlee Givens

Giving Undergraduate Research a Worldwide Voice: Institutional Repositories as Publishers

A presentation on the Georgia Knowledge Repository, a search engine of Georgia-based institutional repositories.

More information at http://www.library.gatech.edu/gkr/

Underfunded And Understaffed: A Ground-Level View Of Ir Creation In Difficult Times, John Davison

Giving Undergraduate Research a Worldwide Voice: Institutional Repositories as Publishers

A discussion of the creation of OhioLINK, the institutional repository system for the Ohio University system.

More information at http://drc.ohiolink.edu/

An Approach To Nearest Neighboring Search For Multi-Dimensional Data, Yong Shi, Li Zhang, Lei Zhu

Faculty Articles

Finding nearest neighbors in large multi-dimensional data has always been one of the research interests in data mining field. In this paper, we present our continuous research on similarity search problems. Previously we have worked on exploring the meaning of K nearest neighbors from a new perspective in PanKNN [20]. It redefines the distances between data points and a given query point Q, efficiently and effectively selecting data points which are closest to Q. It can be applied in various data mining fields. A large amount of real data sets have irrelevant or obstacle information which greatly affects the effectiveness …

Technology Capacity Development Through Oss Implementation: The Case Of Public Higher Education Institutions In Ethiopia, Nigussie Tadesse Mengesha

The African Journal of Information Systems

The Open Source Software (OSS) literature gives little attention to the study and practice of domain specific end-user OSS implementation in general and in the public sector of developing countries (DCs) in particular. This paper, however, investigates the trajectories of two OSS-based information systems (IS) implementation projects in a developing country (DC) context with the aim to uncover the practice-based learning and resource sharing evident among locally situated and globally dispersed developers and users. The result of the interpretative case study research shows that the OSS philosophy and practice of software development, implementation and ownership, facilitates for the emergence of …

The Mississippi Digital Library’S Civil Rights Thesaurus: An Evolving Authority Control Tool For Civil Rights-Related Headings In Metadata Records, Kathleen L. Wells

The Southeastern Librarian

The online Civil Rights Thesaurus (CRT) at the University of Southern Mississippi (USM) had its beginnings in the digitization of civil rights materials in the university’s McCain Library and Archives in the early 2000s. The materials included oral history interviews, letters, newspaper clippings, photographs, and other items from the rich history of the civil rights movement in Mississippi, including materials from the Freedom Summer of 1964. In addition to the creation of digitized images, making these materials available online as the Civil Rights in Mississippi Digital Archive included the formulation of descriptive records using Dublin Core metadata and the development …

A Call To Is Educators To Respond To The Voices Of Women In Information Security, Amy B. Woszczynski, Sherri Shade

Faculty Articles

Much prior research has examined the dearth of women in the IT industry. The purpose of this study is to examine the perceptions of women in IT within the context of information security and assurance. This paper describes results from a study of a relatively new career path to see if there are female-friendly opportunities that have not existed in previous IT career paths. Research methodology focuses on a qualitative analysis of in-depth interviews with women who are self-described information security professionals. A primary goal of the study is to understand the perceptions of women in information security and determine …

Analysis Of Xbrl Literature: A Decade Of Progress And Puzzle, Saeed Roohani, Zhao Xianming, Ernest Capozzoli, Barbara Lamberton

Faculty Articles

XBRL (eXtensible Business Reporting language) was recently, in 2008, in its 10th year. The concept was articulated in 1998 by Charles Hoffman, known as XFRML (eXtensible Financial Reporting Mark Up Language) to facilitate the business reporting process and improve financial reporting. The objective of this paper is to examine a decade (1998-2008) of XBRL articles published in various publications including trade, practitioner and academic journals to identify trends and patterns, milestones, and organizations actively contributed to this development. Another goal is to assess public perceptions of XBRL, its capabilities and its future. We examined published articles where XBRL appeared either …

Database Security: What Students Need To Know, Meg C. Murray

Faculty Articles

Database security is a growing concern evidenced by an increase in the number of reported incidents of loss of or unauthorized exposure to sensitive data. As the amount of data collected, retained and shared electronically expands, so does the need to understand database security. The Defense Information Systems Agency of the US Department of Defense (2004), in its Database Security Technical Implementation Guide, states that database security should provide controlled, protected access to the contents of a database as well as preserve the integrity, consistency, and overall quality of the data. Students in the computing disciplines must develop an …

Biomedical Relationship Extraction From Literature Based On Bio-Semantic Token Subsequences, Ying Xie, Jayasimha R. Katukuri, Vijay V. Raghavan

Faculty Articles

Relationship Extraction (RE) from biomedical literature is an important and challenging problem in both text mining and bioinformatics. Although various approaches have been proposed to extract protein?protein interaction types, their accuracy rates leave a large room for further exploring. In this paper, two supervised learning algorithms based on newly defined "bio-semantic token subsequence" are proposed for multi-class biomedical relationship classification. The first approach calculates a "bio-semantic token subsequence kernel", whereas the second one explicitly extracts weighted features from bio-semantic token subsequences. The two proposed approaches outperform several alternatives reported in literature on multi-class protein?protein interaction classification.

Save Gas Using Your Office Computer From Home, Steve Duckworth, Damon Armour, Jeff Heck

Georgia Library Quarterly

The article discusses the protocols used to establish remote computer connections from home. The Remote Desktop Protocol (RDP) used in Windows 7 connecting to a Windows 2008 server reportedly allows the playing of high-definition video using Media Player. It is stated that commercial product connections which may bypass security infrastructure are risky because of the home computer's possible insecurity and that home devices used for business purposes may be legally searched by the state.

An Attempt To Find Neighbors, Yong Shi, Ryan Rosenblum

Faculty Articles

In this paper, we present our continuous research on similarity search problems. Previously we proposed PanKNN[18]which is a novel technique that explores the meaning of K nearest neighbors from a new perspective, redefines the distances between data points and a given query point Q, and efficiently and effectively selects data points which are closest to Q. It can be applied in various data mining fields. In this paper, we present our approach to solving the similarity search problem in the presence of obstacles. We apply the concept of obstacle points and process the similarity search problems in a different way. …

Object Oriented Program Correctness With Oosiml, José M. Garrido

Faculty Articles

Software reliability depends on program correctness and robustness and these are extremely important in developing high-quality software. Correctness is also essential when considering aspects of software security. However, experience applying these concepts, associated methods, and supporting software with Eiffel and Java have shown that students find some diffculty learning program correctness and in learning the software tools provided. We have developed an experimental language, OOSimL, that includes an assertion notation similar to that of Eiffel but which has much more flexibility, and that provides the same semantics as Java.

The first part of this paper provides an overview of concepts …

Why It Managers Don't Go For Cyber-Insurance Products, Tridib Bandyopadhyay, Vijay S. Mookerjee, Ram C. Rao

Faculty Articles

Despite positive expectations, cyber-insurance products have failed to take center stage in the management of IT security risk. Market inexperience, leading to conservatism in pricing cyber-insurance instruments, is often cited as the primary reason for the limited growth of the cyber-insurance market. In contrast, here we provide a demand-side explanation for why cyber-insurance products have not lived up to their initial expectations. We highlight the presence of information asymmetry between customers and providers, showing how it leads to overpricing cyber-insurance contracts and helps explain why cyber insurance might have failed to deliver its promise as a cornerstone of IT security-management …

Second Life Complements The Internet For Reference Librarians, Florence Tang

Georgia Library Quarterly

The article describes the Second Life culture as an interactive virtual environment from the perspective of a reference librarian. The cited advantages of using Second Life are synchronous interaction with other people, clearer appearance of chat text messages, incorporation of social norms, and accessibility. Among the noted obstacles to using Second Life are its price, intentional distress of other avatars, empty virtual public places, less hierarchy among participants, chatting via rapid typing, and quick change of landscapes and avatars.

Security And Network Analysis Using Simulation, Victor A. Clincy

Faculty Articles

ITGuru is a powerful simulation environment developed by OpNET Corporation. ITGuru is unique because of its ability to model the entire networking domain, including its routers, switches, protocols, servers, and the individual applications they support. ITGuru improves network researchers' and instructors' ability to identify and solve problems throughout the network. The OpNET Corporation provides a FREE academic copy of their simulation environment to universities for both teaching and research.

A Neutral Network Based Vehicle Classification System For Pervasive Smart Road Security, Naixue Xiong, Jing (Selena) He, Jong Hyuk Park, Donald Cooley

Faculty Articles

Pervasive smart computing environments make people get accustomed to convenient and secure services. The overall goal of this research is to classify vehicles along the I215 freeway in Salt Lake City, USA. This information will be used to predict future roadway needs and the expected life of a roadway. The classification of vehicles will be performed by a synthesis of multiple sets of features. All feature sets have not yet been determined; however, one such set will be the reduced wavelet transform of the image of a vehicle. In order to use such a feature, it is necessary that the …

Towards Solving Similarity Search Problems Using Fuzzy Concept For Multi-Dimensional Data, Yong Shi

Faculty Articles

In this paper, we present continuous research on data analysis based on our previous work on similarity search problems. PanKNN[13] is a novel technique which explores the meaning of K nearest neighbors from a new perspective, redefines the distances between data points and a given query point Q, and efficiently and effectively select data points which are closest to Q. It can be applied in various data mining fields. In this paper, we applied the Fuzzy concept to improve the performance of PanKNN, targeting the better decision making for the calculation of the distance between a data …

A Dynamic Insertion Approach For Multi-Dimensional Data Using Index Structures, Yong Shi

Faculty Articles

Nowadays large volumes of data with high dimensionality are being generated in many fields. Most existing indexing techniques degrade rapidly when dimensionality goes higher. A large amount of data sets are time related, and the existence of the obsolete data in the data sets may seriously degrade the data processing. In our previous work[7], we proposed ClusterTree⁺, a new indexing approach representing clusters generated by any existing clustering approach. It is a hierarchy of clusters and subclusters which incorporates the cluster representation into the index structure to achieve effective and efficient retrieval. It also has features from the …

Animated Courseware Support For Teaching Database Design, Meg C. Murray, Mario Guimaraes

Faculty Articles

Database technologies are a core component of computing technology curricula. Their importance will only continue to expand as more and more data are retained in database systems. An effective database system is predicated on a good data model. Database design is the conceptualization of an underlying data model that progresses from identifying user requirements to graphically depicting those requirements and finally mapping the graphical models to a set of tables implemented in a physical database system. The abstract nature of much of database design makes it challenging to teach. This paper presents a set of software animations designed to support …

Computing For The Masses: Extending The Computer Science Curriculum With Information Technology Literacy, Jorge Pérez, Meg C. Murray

Faculty Articles

Enrollments in computer science programs continue to drop as demand for workers skilled in computing increases. Information technology scholars face the ironic challenge of attracting more students into computing disciplines in the age of ubiquitous computing. This paper chronicles a decision by a department of computer science and information systems to offer an information technology literacy course as a service to its institution. Educational and curricular justifications for the course progressed in parallel with recognition of the course's strategic value to the department in the face of sharp declines in the number of students majoring in CS or IS. Following …

Animated Database Courseware: Using Animations To Extend Conceptual Understanding Of Database Concepts, Meg Murray, Mario Guimaraes

Faculty Articles

Teaching abstract concepts can be best supported with supplemental instructional materials such as software animations. Visualization and animations have been shown to increase student motivation and help students develop deeper understandings. Through an NSF funded CCLI grant, a set of animations to support the teaching of database concepts is being developed and made freely available. Current modules available cover areas such as database design, interactive SQL, stored procedures and triggers, transactions and database security. In this paper, we provide an overview of the Animated Database Courseware (ADbC) as well as provide examples of how this software might be utilized in …

An Exploratory Overview Of Teaching Computer Game Development, Mario Guimaraes, Meg C. Murray

Faculty Articles

The computer game industry has exploded reaching sales of several billion dollars a year and, consequently, a majority of college students are familiar with the gaming environment. In fact, videogame development has been cited as one way to motivate students to explore the world of Computer Science. However, most videogames are extremely complex computer programs created by a team of developers including programmers and graphic artists and represent thousands of hours of work. Fortunately there are software tools available that provide a way for simple computer games to be created fairly easily using a building block approach. This paper discusses …

An Integrated Evaluation Method For Module-Based Undergraduate Information Retrieval Education, Yong Shi, Lei Zhu, Jane Wong, Bradley Sturz, Chun Tang

Faculty Articles

In the Information Age, career and life-long learning increasingly depend on information-retrieval (IR) skills to utilize digital and on-line information effectively. Consequently, IR has become a valuable integral element of many disciplines. To address primary problems in the current college-level IR education, we have proposed a module-based curricular model that facilitates the development of an array of IR course modules that enable flexible adoption and integration. In addition, these modules can be designed to meet the specific needs of various disciplines and programs. This paper presents a preliminary integrated evaluation method which combines subjective and objective evaluation in order to …

After The System Upgrade Or Migration: A Cataloging Checklist, Sheryl Stump, Rick Torgerson

The Southeastern Librarian

At present. integrated library system (ILS) upgrades and migrations seem to be coming faster and more frequently. The reasons for this trend are many. among them being: 1) hardware upgrades are common due to the need for more memory to run the software; 2) software upgrades and migrations are desired because of the promise of new or improved features; 3) changes in system vendor ownership can affect changes in their software; 4) software and hardware upgrades are needed due to the advanced age of either or both; and 5) system upgrades on a yearly basis may be necessary to prevent …

Examining Granular Computing From A Modeling Perspective, Ying Xie, Jayasimha R. Katukuri, Vijay V. Raghavan

Faculty Articles

In this paper, we use a set of unified components to conduct granular modeling for problem solving paradigms in several fields of computing. Each identified component may represent a potential research direction in the field of granular computing. A granular computing model for information analysis is proposed. The model may suggest that granular computing is an instrument for implementing perception based computing based on numeric computing. In addition, a novel granular language modeling technique is proposed for information extraction from web pages. This paper also suggests that the study of data mining in the framework of granular computing may address …

Subcoid: An Attempt To Explore Cluster-Outlier Iterative Detection Approach To Multi-Dimensional Data Analysis In Subspace, Yong Shi

Faculty Articles

Many data mining algorithms focus on clustering methods. There are also a lot of approaches designed for outlier detection. We observe that, in many situations, clusters and outliers are concepts whose meanings are inseparable to each other, especially for those data sets with noise. Clusters and outliers should be treated as the concepts of the same importance in data analysis. In our previous work [22] we proposed a cluster-outlier iterative detection algorithm in full data space. However, in high dimensional spaces, for a given cluster or outlier, not all dimensions may be relevant to it. In this paper we extend …

Detecting Clusters And Outliers For Multi-Dimensional Data, Yong Shi

Faculty Articles

Nowadays many data mining algorithms focus on clustering methods. There are also a lot of approaches designed for outlier detection. We observe that, in many situations, clusters and outliers are concepts whose meanings are inseparable to each other, especially for those data sets with noise. Thus, it is necessary to treat clusters and outliers as concepts of the same importance in data analysis. In this paper, we present a cluster-outlieriterative detection algorithm, tending to detect the clusters and outliers in another perspective for noisy data sets. In this algorithm, clusters are detected and adjusted according to the intra-relationship within clusters …

Fuzzyshrinking: Improving Shrinking-Based Data Mining Algorithms Using Fuzzy Concept For Multi-Dimensional Data, Yong Shi

Faculty Articles

In this paper, we present continuous research on data analysis based on our previous work on the shrinking approach. Shrinking[19] is a novel data preprocessing technique which optimizes the inner structure of data inspired by the Newton's Universal Law of Gravitation[16]in the real world. It can be applied in many data mining fields. In this approach data are moved along the direction of the density gradient, thus making the inner structure of data more prominent. It is conducted on a sequence of grids with different cell sizes. In this paper, we applied the Fuzzy concept to improve the performance …