David Booth - Academia.edu (original) (raw)

Papers by David Booth

$Research paper thumbnail of A fractal dimension-based method for statistical process control$

International Journal of Operational Research, 2012

... Booth, DE, Zhu, DX, Baker, DL and Hamburg, JH (2005) 'Recent chemometric approaches ... V... more ... Booth, DE, Zhu, DX, Baker, DL and Hamburg, JH (2005) 'Recent chemometric approaches ... V. (2004) 'Wavelet-based multiscale statistical process monitoring: a literature review', IEEE Transactions ... Grant, EL and Leavenworth, RS (1980) Statistical Quality Control (5th ed.). New ...

In this paper, we present experimental results of fuzzy clustering and two self-organizing neural... more In this paper, we present experimental results of fuzzy clustering and two self-organizing neural networks used as classification tools for identifying potentially failing banks. We first describe the distinctive characteristics of fuzzy clustering algorithm, which provides probability of the likelihood of bank failure. We then perform the comparison between the results of the closest hard partitioning of fuzzy clustering and of two self-organizing neural networks and present our results as the ranking structure of relative bankruptcy likelihood. Our findings indicate that both the fuzzy clustering and self-organizing neural networks are promising classification tools for identifying potentially failing banks.

Chemosensory Perception, 2011

Journal of Quality Technology, Jul 1, 2001

Journal of Manufacturing Systems, 1997

Journal of data science, Apr 5, 2021

Journal of data science, Feb 24, 2021

International Journal of Operational Research, 2007

Due to the development of network technologies, business information today is more easily accesse... more Due to the development of network technologies, business information today is more easily accessed, captured, and transferred over an information highway. This transformation process of business information requires quick and accurate interpretation of information, and to facilitate business decision making processes, decision support systems in the emerging market should support accurate, flexible, and timely characteristics of information to users. This dissertation focuses on the accuracy dimension in key financial applications, with use of artificial neural networks (ANNs). Artificial neural network models are often classified into two distinctive training types, supervised or unsupervised. Previous pattern classification researchers in business have mostly used back-propagation (BP) networks. In this dissertation, the BP network (supervised) and the Kohonen self-organizing feature map (unsupervised) are together examined for their effectiveness and desirability in financial classification tasks. Bankruptcy prediction (two-group) and bond-rating (multi-group) are selected as testbeds. Statistical classification techniques, logistic regression and discriminant analysis, are also provided as performance benchmarks for neural network classifiers. The findings of this study first confirmed that the back-propagation (BP) network outperformed all the other classification techniques used in this study. In addition, the study showed that as training sample size increased, a more complex BP model might be applied, and as a result, the performance of the BP network would improve accordingly. Second, Lowe and Webb's (1991) reciprocally weighted target coding scheme was empirically tested with two other target coding & threshold schemes. The Lowe and Webb scheme did not seem to work well. Third, the study identified a few key conditions for using the Kohonen self-organizing feature map in pattern classification settings. Provided that these key conditions were met, the Kohonen self-organizing feature map may be used as an alternative for pattern classification tasks.

Journal of data science, Apr 8, 2021

Journal of Internet Commerce, Nov 29, 2004

ABSTRACT The Internet provides a new way of doing business, but ease of copying and of sharing va... more ABSTRACT The Internet provides a new way of doing business, but ease of copying and of sharing valuable digital information illegally across the Internet undermines many viable business models. This paper investigates Digital Rights Management (DRM) as a means to provide safe protection and proper delivery of digital contents through the Information highway. First, we briefly summarize the current endeavor of DRM technical development and its standardization process in key technical working groups. Then, the paper provides a generic architecture for a DRM framework and shows the implementation of a prototype DRM system incorporating key conceptual and technical standardization development. This study emphasizes the importance of developing the DRM architecture that provides the proper protection and safe transformation of digital contents in electronic commerce.

Technometrics, Feb 1, 2008

manent SAS data sets; creating formats; performing conditional and iterative processing; working ... more manent SAS data sets; creating formats; performing conditional and iterative processing; working with dates, arrays, numeric and character functions; and creating subsets and combined SAS data sets. Part 3—Presenting and Summarizing Your Data consists of seven chapters, including 107 example programs and 52 self-test problems. This section presents ways to display and customize the data via the basics like PROC PRINT and PROC SORT, PROC REPORT, PROC TABULATE, a brief introduction to ODS, and PROC GCHART. It also discusses basic summary options such as PROC MEANS and PROC FREQ. Part 4—Advanced Topics consists of six chapters, including 74 example programs and 46 self-test problems. These topics include using advanced INPUT techniques and advanced features of user-defined formats and informats, and restructuring SAS data sets. Cody also introduces the use of SAS macro language and SQL, but quickly recommends other references for further study. While preparing this review, I lent my copy of Learning SAS by Example to a friend, who promptly adopted it for his SAS programming class. Now, approximately a month later, he is pleased with it as a textbook and I am pleased with it as both a reference and a tutorial. I would definitely recommend this book for each of its target audiences.

Analytical Biochemistry, Aug 1, 2003

Journal of Chemical Information and Computer Sciences, 1996

Technometrics, Nov 1, 1995

Page 1. ? 1995 American Statistical Association and the American Society for Quality Control TECH... more Page 1. ? 1995 American Statistical Association and the American Society for Quality Control TECHNOMETRICS, NOVEMBER 1995, VOL. 37, NO. 4 Seeing a Curve in Multiple Regression Kenneth N. BERK Mathematics Department ...

International Journal of Computer Integrated Manufacturing, 2000

ABSTRACT The purpose of this paper is to show how statistical procedures can be used to design ro... more ABSTRACT The purpose of this paper is to show how statistical procedures can be used to design robotic assembly cells. The proposed methodologyhas two stages. In the first stage, a fuzzy clustering algorithm is employed to group similar tasks together so that they can be assigned to robots while maintaining a balanced cell and achieving a desired production cycle time. In the second stage, a Mahalanobis distance procedure is used to select robots appropriate for the task groups. The proposed approach recognizes and exploits the flexibility of robots. It also recognizes that the manufacturer specifications of robots do not hold simultaneously under normal operating conditions. A numerical example is presented and a small experiment is conducted to test the procedures.