This digital document is an article from National Underwriter Property & Casualty-Risk & Benefits Management, published by The National Underwriter Company on December 9, 1996. The length of the article is 1008 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available in your Amazon.com Digital Locker immediately after purchase. You can view it with any web browser.
From the supplier: Electronic data interchange (EDI) has added fast, low-cost communications networks to the insurance industry since the mid-1980s. However, there have been many obstacles for EDI use, and software vendors and insurers often blame each other for these frustrations. There is a need for EDI standards in the insurance industry, new software needs to be developed, and EDI systems need to be upgraded before these obstacles can be overcome.
Citation Details
Title: EDI progress: playing the blame game.(electronic data interchange, software vendors, and the insurance industry)(Column)
Author: Gregory A. Macaig
Publication: National Underwriter Property & Casualty-Risk & Benefits Management (Magazine/Journal)
Date: December 9, 1996
Publisher: The National Underwriter Company
Issue: n50 Page: p31(1)
Article Type: Column
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EDI progress: playing the blame game.(electronic data interchange, software vendors, and the insurance industry)(Column): An article from: National Underwriter … & Casualty-Risk & Benefits Management
Stochastic Methods in Finance: Lectures given at the C.I.M.E.-E.M.S. Summer School held in Bressanone/Brixen, Italy, July 6-12, 2003 (Lecture Notes in Mathematics / C.I.M.E. Foundation Subseries)

This volume includes the five lecture courses given at the CIME-EMS School on “Stochastic Methods in Finance” held in Bressanone/Brixen, Italy 2003. It deals with innovative methods, mainly from stochastic analysis, that play a fundamental role in the mathematical modelling of finance and insurance: the theory of stochastic processes, optimal and stochastic control, stochastic differential equations, convex analysis and duality theory. Five topics are treated in detail: Utility maximization in incomplete markets; the theory of nonlinear expectations and its relationship with the theory of risk measures in a dynamic setting; credit risk modelling; the interplay between finance and insurance; incomplete information in the context of economic equilibrium and insider trading.
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Software helps win the name game. (Search Software America’s SSA-Name3 data base management system) (Automation Update): An article from: National Underwriter … & Casualty-Risk & Benefits Management
This digital document is an article from National Underwriter Property & Casualty-Risk & Benefits Management, published by The National Underwriter Company on August 17, 1992. The length of the article is 709 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available in your Amazon.com Digital Locker immediately after purchase. You can view it with any web browser.
From the supplier: Search Software America has developed the SSA-Name3 data base management system that enables insurance companies to retrieve a data file by using the policyholder’s name. The system has proven valuable in claims processing, especially when claims or policy numbers are unknown or incorrect. SSA-Name3 has been programmed to give sound a numeric value, so misspelled names can be corrected and produce the correct data files.
Citation Details
Title: Software helps win the name game. (Search Software America’s SSA-Name3 data base management system) (Automation Update)
Author: Christopher Dauer
Publication: National Underwriter Property & Casualty-Risk & Benefits Management (Magazine/Journal)
Date: August 17, 1992
Publisher: The National Underwriter Company
Issue: n33 Page: p19(1)
Distributed by Thomson Gale
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Transactions on Rough Sets XIII (Lecture Notes in Computer Science / Transactions on Rough Sets)
The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to uncertainty, vagueness, and incompleteness, such as fuzzy sets and theory of evidence.
Volume XIII contains 14 papers which introduce a number of new advances in both the foundations and the applications of rough sets. These are mathematical structures of generalized rough sets in infinite universes, approximations of arbitrary binary relations, and attribute reduction in decision-theoretic rough sets. Methodological advances introduce rough set-based and hybrid methodologies for learning theory, attribution reduction, decision analysis, risk assessment, and data mining tasks such as classification and clustering. In addition, this volume contains regular articles on mining temporal software metrics data, C-GAME discretization method, perceptual tolerance intersection as an example of a near set operation and compression of spatial data with quadtree structures.
