In this dissertation we develop a framework that combines data mining, statistics and operations research methods for improving real-time decision support systems in healthcare. Our approach consists of three main concepts: data gathering and preprocessing, modeling, and deployment. We introduce the notion of offline and semi-offline modeling to…

This manual describes the methods, procedures, techniques, and activities that were used to produce the Academic Library Survey of 2004 (ALS:2004). This manual is designed to provide guidance and documentation for users of the ALS data. Included in the manual are the following: (1) an overview of the study and its predecessor studies; (2) an…

This dissertation studies information extraction (IE), the problem of extracting structured information from unstructured data. Example IE tasks include extracting person names from news articles, product information from e-commerce Web pages, street addresses from emails, and names of emerging music bands from blogs. IE is all increasingly…

Web Access Pattern (WAP), which is the sequence of accesses pursued by users frequently, is a kind of interesting and useful knowledge in practice. Sequential Pattern mining is the process of applying data mining techniques to a sequential database for the purposes of discovering the correlation relationships that exist among an ordered list of…

In the modern world, higher education is transitioning from enrollment mode to recruitment mode. This shift paved the way for institutional research and policy making from historical data perspective. More and more universities in the U.S. are implementing and using enterprise resource planning (ERP) systems, which collect vast amounts of data.…

A study was conducted to propose a research-based model for a longitudinal data research system that addressed recommendations from a synthesis of literature related to: (1) needs reported by the U.S. Department of Education, (2) the twelve mandatory elements that define federally approved state longitudinal data systems (SLDS), (3) the…

The major objective of this program is to prepare a technically qualified data processing technician who can assist a systems analyst in designing a logical systems approach to solve data handling problems, develop detailed data processing procedures, wire control panels or write programs, document these procedures in a professional manner,…

Creating effective electronic tools for language learning frequently requires large data sets containing extensive examples of actual human language use. Collections of authentic language in spoken and written forms provide developers the means to enrich their applications with real world examples. As the Internet continues to expand…

It used to be much easier to get paid by the San Diego Unified School District (SDUSD). A lot easier, that is, if you didn't work there. Saddled with an antiquated computer system and manual, repetitive data entry of time cards, officials at California's second-largest school district discovered the payroll department was mistakenly issuing $1…

A survey of 67 data processing managers indicated a 34 percent reduction of employment for keypunch verifier operators due to the installation of optical scanning equipment. However, continued training of such operators is recommended since the skills are transferrable. A majority of managers predicted employment for more or about the same number…

The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…

This paper presents a simple 4 bit computer processor design that may be built using TTL chips for less than $65. In addition to describing the processor itself in detail, we discuss our experience using the laboratory kit and its associated machine instruction set to teach computer architecture to high school students. (Contains 3 figures and 5…

It is necessary to have a relevant secondary school data processing curriculum as the first step toward career preparation in data processing. The curriculum should be patterned on local business needs. (JOW)