Data Science Commons^™

Recommender Systems For Multimedia Libraries: An Evaluation Of Different Models For Datamining Usage Data, Raquel Oliveira Araujo

Computer Science Theses & Dissertations

Many recommender systems exist today to help users deal with the large growth in the amount of information available in the Internet. Most of these recommender systems use collaborative filtering or content-based techniques to present new material that would be of interest to a user. While these methods have proven to be effective, they have not been designed specifically for multimedia collections. In this study we present a new method to find recommendations that is not dependent on traditional Information Retrieval (IR) methods and compare it to algorithms that do rely on traditional IR methods. We evaluated these algorithms using …

Efficacy Of Quality Criteria To Identify Potentially Harmful Information: A Cross-Sectional Survey Of Complementary And Alternative Medicine Web Sites, Muhammad Walji, Smitha Sagaram, Deepak Sagaram, Funda Meric-Bernstam, Craig Johnson, Nadeem Q Mirza, Elmer V Bernstam

Faculty, Staff and Student Publications

BACKGROUND: Many users search the Internet for answers to health questions. Complementary and alternative medicine (CAM) is a particularly common search topic. Because many CAM therapies do not require a clinician's prescription, false or misleading CAM information may be more dangerous than information about traditional therapies. Many quality criteria have been suggested to filter out potentially harmful online health information. However, assessing the accuracy of CAM information is uniquely challenging since CAM is generally not supported by conventional literature. OBJECTIVE: The purpose of this study is to determine whether domain-independent technical quality criteria can identify potentially harmful online CAM content. …

Miscellaneous Publication 8/2004 - Midas User Manual. Version 1, Ross Kingwell, Felicity Flugge, Emma Kopke, Michael O'Connell

Farm Systems and Economics published reports

What is MIDAS?

It's a computer model of dryland farming in Western Australia. MIDAS is an acronym (Model of an Integrated Dryland Agricultural System). Currently there are five versions of MIDAS, each describes a representative farm in a particular farming region of Western Australia. Versions exist for the following regions (see Figure 1):

• the Eastern Wheatbelt;
• the Central Wheatbelt;
• the West Midlands;
• the Great Southern; and,
• the South Coast.

Each of these versions is a mathematical programming model of a representative farm.

Surveying Cost Growth, Michael A. Greiner, Vince Sipple, Edward D. White

Faculty Publications

Cost growth that weapon systems incur throughout their acquisition life cycle concerns those who work in the acquisition environment. One way to reduce the amount of unexpected cost growth is to develop better cost estimates. In attaining better cost estimates though, it is often helpful to understand and account for potential cost drivers. Several cost studies, some of which specifically focus on the aircraft industry, have been performed documenting and investigating these growth factors. Overviews of these various cost growth studies are presented as other tools for the cost estimators and program managers.

Evaluating The Disparity Of Female Breast Cancer Mortality Among Racial Groups - A Spatiotemporal Analysis, Chiehwen E. Hsu, Holly Jacobson, Francisco Soto Mas

Faculty, Staff and Student Publications

Background The literature suggests that the distribution of female breast cancer mortality demonstrates spatial concentration. There remains a lack of studies on how the mortality burden may impact racial groups across space and over time. The present study evaluated the geographic variations in breast cancer mortality in Texas females according to three predominant racial groups (non-Hispanic White, Black, and Hispanic females) over a twelve-year period. It sought to clarify whether the spatiotemporal trend might place an uneven burden on particular racial groups, and whether the excess trend has persisted into the current decade.

Methods The Spatial Scan Statistic was employed …

Detecting Spatiotemporal Clusters Of Accidental Poisoning Mortality Among Texas Counties, Us, 1980 – 2001, Ella T. Nkhoma, Chiehwen E. Hsu, Victoria I. Hunt, Ann M. Harris

Faculty, Staff and Student Publications

Background Accidental poisoning is one of the leading causes of injury in the United States, second only to motor vehicle accidents. According to the Centers for Disease Control and Prevention, the rates of accidental poisoning mortality have been increasing in the past fourteen years nationally. In Texas, mortality rates from accidental poisoning have mirrored national trends, increasing linearly from 1981 to 2001. The purpose of this study was to determine if there are spatiotemporal clusters of accidental poisoning mortality among Texas counties, and if so, whether there are variations in clustering and risk according to gender and race/ethnicity. The Spatial …