scispace - formally typeset
Search or ask a question
Institution

DePaul University

EducationChicago, Illinois, United States
About: DePaul University is a education organization based out in Chicago, Illinois, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 5658 authors who have published 11562 publications receiving 295257 citations.


Papers
More filters
01 Jan 2002
TL;DR: This paper represents work-in-progress towards creating a general framework for using domain ontologies to automatically characterize usage profiles containing a set of structured Web objects, and uses the full semantic power of the underlying ontology in the context of Web personalization.
Abstract: Usage patterns discovered through Web usage mining are effective in capturing item-to-item and user-to-user relationships and similarities at the level of user sessions. Without the benefit of deeper domain knowledge, such patterns provide little insight into the underlying reasons for which such items or users are grouped together. This can lead to a number of important shortcomings in personalization systems based on Web usage mining or collaborative filtering. For example, if a new item is recently added to the Web site, it is not likely that the pages associated with the item would be a part of any of the discovered patterns, and thus these pages cannot be recommended. Keyword-based content-filtering approaches have been used to enhance the effectiveness of collaborative filtering systems by focusing on content similarity among items or pages. These approaches, however, are incapable of capturing more complex relationships at a deeper semantic level based on different types of attributes associated with structured objects. This paper represents work-in-progress towards creating a general framework for using domain ontologies to automatically characterize usage profiles containing a set of structured Web objects. Our motivation is to use this framework in the context of Web personalization, going beyond pageor item-level constructs, and using the full semantic power of the underlying ontology.

101 citations

Journal ArticleDOI
TL;DR: While the instrument differentiates patients with CFS from those who are healthy, it is less likely to distinguish C FS from other autoimmune diseases (especially Lupus), so future community-based CFS prevalence studies should encompass both a screening instrument and second stage medical assessment.
Abstract: Because estimates of the prevalence of Chronic Fatigue Syndrome (CFS) have been quite variable, there is a need for a screening instrument and second stage medical assessment that will produce the most valid estimate of the CFS prevalence. In the present study, four groups of 15 subjects each were recruited: patients diagnosed with (1) CFS, (2) Lupus, (3) Multiple Sclerosis (MS), and (4) a healthy control group. Participants were interviewed twice over a two week period of time with a screening instrument comprising The Fatigue Scale and a newly configured section. The screening instrument had excellent test-retest and interrater reliability. This screening instrument therefore has utility for CFS community-based epidemiologic research. However, while the instrument differentiates patients with CFS from those who are healthy, it is less likely to distinguish CFS from other autoimmune diseases (especially Lupus). Thus, future community-based CFS prevalence studies should encompass both a screening ...

101 citations

Journal ArticleDOI
TL;DR: This article examined the implications of using online video for earnings restatements and found that when a CEO accepts responsibility by making an internal attribution for a restatement, investors viewing the announcement online via video recommend larger investments in the firm than do investors viewing online via text.
Abstract: Press releases accompanying earnings restatements attempt to minimize negative reactions by explaining the reasons for the restatement. Although text-based press releases have been the norm for years, firms have recently begun using online video for such announcements. We examine the implications of doing so, and find that when a CEO accepts responsibility by making an internal attribution for a restatement, investors viewing the announcement online via video recommend larger investments in the firm than do investors viewing the announcement online via text. In contrast, when the CEO denies responsibility by making an external attribution for the restatement, investors viewing the announcement online via video recommend smaller investments in the firm than do investors viewing the announcement online via text. Our results also reveal that investor trust mediates the effect of disclosure venue and attribution on investment recommendations. These findings are important given the economic significa...

101 citations

Journal ArticleDOI
TL;DR: In this paper, the authors investigate the current practices of credit risk management by the largest US-based financial institutions and find that identifying counterparty default risk is the single most important purpose served by the credit risk models utilized.
Abstract: Purpose – Proposes to investigate the current practices of credit risk management by the largest US‐based financial institutions. Owing to the increasing variety in the types of counterparties and the ever‐expanding variety in the forms of obligations, credit risk management has jumped to the forefront of risk management activities carried out by firms in the financial services industry. This study is designed to shed light on the current practices of these firms.Design/methodology/approach – A short questionnaire, containing seven questions, was mailed to each of the top 100 banking firms headquartered in the USA.Findings – It was found that identifying counterparty default risk is the single most‐important purpose served by the credit risk models utilized. Close to half of the responding institutions utilize models that are also capable of dealing with counterparty migration risk. Surprisingly, only a minority of banks currently utilize either a proprietary or a vendor‐marketed model for the management ...

101 citations

Proceedings ArticleDOI
26 Jun 2010
TL;DR: A framework for implementing computational thinking in a broad variety of general education courses designed to be used by faculty without formal training in information technology in order to understand and integrate computational thinking into their owngeneral education courses is described.
Abstract: We describe a framework for implementing computational thinking in a broad variety of general education courses. The framework is designed to be used by faculty without formal training in information technology in order to understand and integrate computational thinking into their own general education courses. The framework includes examples of computational thinking in a variety of general education courses, as well as sample in-class activities, assignments, and other assessments for the courses. The examples in the different courses are related and differentiated using categories taken from Denning Great Principles of Computing, so that similar types of computational thinking appearing in different contexts are brought together. This aids understanding of the computational thinking found in the courses and provides a template for future work on new course materials. Specific examples of computational thinking in the design category are provided in the context of three distinct courses.

101 citations


Authors

Showing all 5724 results

NameH-indexPapersCitations
C. N. R. Rao133164686718
Mark T. Greenberg10752949878
Stanford T. Shulman8550234248
Paul Erdös8564034773
T. M. Crawford8527023805
Michael H. Dickinson7919623094
Hanan Samet7536925388
Stevan E. Hobfoll7427135870
Elias M. Stein6918944787
Julie A. Mennella6817813215
Raouf Boutaba6751923936
Paul C. Kuo6438913445
Gary L. Miller6330613010
Bamshad Mobasher6324318867
Gail McKoon6212514952
Network Information
Related Institutions (5)
Florida International University
31.1K papers, 934.2K citations

85% related

City University of New York
56.5K papers, 1.7M citations

84% related

George Mason University
39.9K papers, 1.3M citations

83% related

San Diego State University
27.9K papers, 1.1M citations

83% related

Georgia State University
35.8K papers, 1.1M citations

83% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202326
2022100
2021518
2020498
2019452
2018463