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- Data Warehouses (3)
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Articles 1 - 10 of 10
Full-Text Articles in Physical Sciences and Mathematics
Software Quality Function Deployment, Xiaoqing Frank Liu
Software Quality Function Deployment, Xiaoqing Frank Liu
Computer Science Faculty Research & Creative Works
Any product development involves projecting its potential success in achieving its functional and commercial goals. Better quality designs that match customer needs and preferences and integrate other lifecycle issues early in the software development process are more likely to be competitive. Thus, there is significant concern in industry about quality product design, which is addressed by quality function deployment (QFD). QFD uses matrices to organize and relate pieces of data to each other. These matrices are often combined to form a basic tool of QFD, called a House of Quality (HoQ). QFD was developed in the Kobe shipyards as a …
Quasi-Monte Carlo Methods In Cash Flow Testing Simulations, Michael Gene Hilgers
Quasi-Monte Carlo Methods In Cash Flow Testing Simulations, Michael Gene Hilgers
Business and Information Technology Faculty Research & Creative Works
What actuaries call cash flow testing is a large-scale simulation pitting a company''s current policy obligation against future earnings based on interest rates. While life contingency issues associated with contract payoff are a mainstay of the actuarial sciences, modeling the random fluctuations of US Treasury rates is less studied. Furthermore, applying standard simulation techniques, such as the Monte Carlo method, to actual multi-billion dollar companies produce a simulation that can be computationally prohibitive. In practice, only hundreds of sample paths can be considered, not the usual hundreds of thousands one might expect for a simulation of this complexity. Hence, insurance …
Strategy Planning For Technological Discontinuities In A Changing Regulatory Environment, William Ralph Kehr, Halvard E. Nystrom
Strategy Planning For Technological Discontinuities In A Changing Regulatory Environment, William Ralph Kehr, Halvard E. Nystrom
Engineering Management and Systems Engineering Faculty Research & Creative Works
This paper describes an approach to the analysis of publicly available financial data for individual industries. These methods enable the analyst to assess past practices and the historical rate of technological diffusion during the transition period of discontinuous technological change. This assessment can provide a basis of comparison for current changes in their industry. These methods are applied to small rural telephone companies during the period of 1960 to 1996. Annual data is presented detailing the change from aerial distribution cable to buried cable by the roughly 600 rural telephone companies financed through loans from the Rural Utilities Services, a …
Analysis Of Intangible Factors In Waste Minimization Projects, Halvard E. Nystrom, William Ralph Kehr
Analysis Of Intangible Factors In Waste Minimization Projects, Halvard E. Nystrom, William Ralph Kehr
Engineering Management and Systems Engineering Faculty Research & Creative Works
Continual population growth and rising standards of living that accelerate the consumption of limited resources, are forcing society to encourage conservation of these resources. These resources not only include raw material, but also the areas to dispose of the wastes. As a result, communities are driving industries towards waste minimization by limiting waste generation and landfill availability. Firms'' environmentally friendly strategies can gain competitive advantage by leading in environmental practices. This advantage emanates from the reduction of risk of environmental regulatory overreaction, as well as improved asset utilization and landfill utilization. However, these intangible benefits are difficult to identify and …
Adaptive Information Filtering: Evolutionary Computation And N-Gram Representation, Daniel R. Tauritz, Ida G. Sprinkhuizen-Kuyper
Adaptive Information Filtering: Evolutionary Computation And N-Gram Representation, Daniel R. Tauritz, Ida G. Sprinkhuizen-Kuyper
Computer Science Faculty Research & Creative Works
Adaptive Information Filtering (AIF) is concerned with filtering information streams in changing environments. The changes may occur both on the transmission side (the nature of the streams can change) and on the reception side (the interests of a user can change). The research described in this paper details the progress made in a prototype AIF system based on weighted n-gram analysis and evolutionary computation. A major advance is the design and implementation of an n-gram class library allowing experimentation with different values of n instead of solely with 3-grams as in the past. The new prototype system was tested on …
Association Rules For Web Data Mining In Whoweda, Sanjay Kumar Madria, C. Raymond, M. Mohania, Sourav S. Bhowmick
Association Rules For Web Data Mining In Whoweda, Sanjay Kumar Madria, C. Raymond, M. Mohania, Sourav S. Bhowmick
Computer Science Faculty Research & Creative Works
The authors discuss association rules which can be discovered from Web data. The association rules are discussed within the scope of our WHOWEDA (warehouse of Web data) project. WHOWEDA is supported by a Web data model and a set of algebraic operators. The Web data model allows a uniform and integrated view of Web data gathered using a user''s query graph. A user''s query graph describes the query by example (what the user perceives as the query) and the Web coupling query gathers instances of such a query graph from the Web and stores them in the form of subgraphs …
Computational Finance Models, Michael Gene Hilgers
Computational Finance Models, Michael Gene Hilgers
Business and Information Technology Faculty Research & Creative Works
The author discusses his involvement in developing computational finance software. These computational finance models attempt to model the randomness of a stock's price. At a fixed future time, a stock's price is modeled as a random variable with a normal distribution centered about the current price adjusted with a simple growth multiplier. The standard deviation of this normal distribution depends on the length of time into the future one peers and the volatility of the market. As the market becomes more volatile and we look further ahead, the less likely the stock will have a price near the adjusted current …
Reducing Cognitive Overheads In A Web Warehouse Using Reverse-Osmosis, Sanjay Kumar Madria, Wee Keong Ng, Ee-Peng Lim, Sourav S. Bhowmick
Reducing Cognitive Overheads In A Web Warehouse Using Reverse-Osmosis, Sanjay Kumar Madria, Wee Keong Ng, Ee-Peng Lim, Sourav S. Bhowmick
Computer Science Faculty Research & Creative Works
This paper provides a quantitative analysis of reducing cognitive overheads in a Web warehouse using an important class of operation called reverse osmosis. The analysis is used to examine two different cognitive overheads of locating relevant nodes or information and display time of a Web table. A reverse-osmosis operation enables us to eliminate in relevant information from a collection of Web documents stored in the form of a Web table. We call such an operation reverse-osmosis because it is analogous to the reverse osmosis process in the field of water purification. We discuss a formal algorithm of the reverse-osmosis operation
Detecting And Representing Relevant Web Deltas Using Web Join, Sanjay Kumar Madria, Wee Keong, Ee-Peng Lim, Sourav S. Bhowmick
Detecting And Representing Relevant Web Deltas Using Web Join, Sanjay Kumar Madria, Wee Keong, Ee-Peng Lim, Sourav S. Bhowmick
Computer Science Faculty Research & Creative Works
We show how to detect and represent Web deltas, i.e., changes in Web information, that are relevant to a user's query in the context of our Web warehousing system called WHOWEDA (Warehouse of Web Data). In WHOWEDA, Web information are materialized views stored in Web tables and can be manipulated and analyzed using a set of Web algebraic operators. We present a mechanism to detect relevant Web deltas using Web join and outer Web join. We show how to represent these changes using delta Web tables.
A Systolic Image Difference Algorithm For Rle-Compressed Images, Fikret Erçal, Mark Allen, Hao Feng
A Systolic Image Difference Algorithm For Rle-Compressed Images, Fikret Erçal, Mark Allen, Hao Feng
Computer Science Faculty Research & Creative Works
A new systolic algorithm which computes image differences in run-length encoded (RLE) format is described. The binary image difference operation is commonly used in many image processing applications including automated inspection systems, character recognition, fingerprint analysis, and motion detection. The efficiency of these operations can be improved significantly with the availability of a fast systolic system that computes the image difference as described in this paper. It is shown that for images with a high similarity measure, the time complexity of the systolic algorithm is small and, in some cases, constant with respect to the image size. A formal proof …