Uncertain data is inherent in many important applications, such as environmental surveillance, market analysis, and quantitative economics research. Due to the importance of those applications and rapidly increasing amounts of uncertain data collected and accumulated, analyzing large collections of uncertain data has become an important task....

Big Data Application Architecture Pattern Recipes provides an insight into heterogeneous infrastructures, databases, and visualization and analytics tools used for realizing the architectures of big data solutions. Its problem-solution approach helps in selecting the right architecture to solve the problem at hand. In the process of...

• IBM...

The Formal Semantics of Programming Languages provides the basic mathematical techniques necessary for those who are beginning a study of the semantics and logics of programming languages. These techniques will allow students to invent, formalize, and justify rules with which to reason about a variety of programming languages. Although...

E-ffective Writing for E-Learning Environments integrates research and practice in user-centered design and learning design for instructors in post-secondary institutions and learning organizations who are developing e-learning resources. The book is intended as a development guide for experts in areas other than instructional or...

Contains guidelines and recommendations-in tabular form for quick reference-on patient evaluation and optimal treatment for long-term care!

Based on evidence from recent systematic clinical research studies, this comprehensive reference provides the latest information on the assessment, diagnosis, and treatment of...

Spine surgery has increasingly become a surgical field of its own, with a distinct body of knowledge. This easy-to-use book, written by acknowledged experts, is designed to meet the practical needs of the novice and the busy resident by providing essential information on spine pathology, diagnostic evaluation, surgical procedures, and other...

In recent years, Fourier transform methods have emerged as one of the major methodologies for the evaluation of derivative contracts, largely due to the need to strike a balance between the extension of existing pricing models beyond the traditional Black-Scholes setting and a need to evaluate prices consistently with the market...