Business intelligence is a broad category of applications andtechnologies for gathering, providing access to, and analyzing datafor the purpose of helping enterprise users make better businessdecisions. The term implies having a comprehensive knowledge of allfactors that affect a business, such as customers, competitors,business partners,...
Student engagement with digital learning resources and online social networking are strong forces in education today. How can these resources best be utilized by educators and course designers in higher education? This book aims to provide the reader with enough background information to appreciate the value of social networking, especially...
This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If you’re comfortable with Python and its libraries, including pandas and scikit-learn, you’ll be able to address specific problems such as loading data, handling text or...
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...
Get up to speed on the nuances of NoSQL databases and what they mean for your organization
This easy to read guide to NoSQL databases provides the type of no-nonsense overview and analysis that you need to learn, including what NoSQL is and which database is right for you. Featuring specific evaluation criteria for NoSQL databases,...
Domain-Specific Modeling (DSM) is the latest approach to software development, promising to greatly increase the speed and ease of software creation. Early adopters of DSM have been enjoying productivity increases of 500–1000% in production for over a decade. This book introduces DSM and offers examples from various fields to illustrate to...
This book is one of the most up-to-date and cutting-edge texts available on the rapidly growing application area of neural networks. Neural Networks and Pattern Recognition focuses on the use of neural networksin pattern recognition, a very important application area for neural networks technology. The contributors are widely known...
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...
In the 1970s researchers noticed that radioactive particles produced by elements naturally present in packaging material could cause bits to flip in sensitive areas of electronic chips. Research into the effect of cosmic rays on semiconductors, an area of particular interest in the aerospace industry, led to methods of hardening electronic...
This volume contains the 25 papers presented at the First International ICST
Conference on Theory and Practice of Algorithms in (Computer) Systems
(TAPAS 2011), held in Rome during April 18-20 2011, including three papers
by the distinguished invited speakers Shay Kutten, Kirk Pruhs and Paolo Santi.
