This book constitutes the refereed conference proceedings of the 15th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, RSFDGrC 2015, held in Tianjin, China in November 2015 as one of the co-located conference of the 2015 Joint Rough Set Sym…
Practical Sitecore 8 Configuration and Strategy: A User Guide for Sitecore's Content and Marketing Capabilities offers a comprehensive overview of Sitecore's web content management solutions, and provides step-by-step guidance for configuring Sitecore's personalization, testing,…
This book presents a carefully selected and reviewed collection of papers presented during the 19th Advanced Computer Systems conference ACS-2014. The Advanced Computer Systems conference concentrated from its beginning on methods and algorithms of artificial intelligence. Furth…
This book presents a carefully selected and reviewed collection of papers presented during the 19th Advanced Computer Systems conference ACS-2014. The Advanced Computer Systems conference concentrated from its beginning on methods and algorithms of artificial intelligence. Furth…
The book presents the necessary mathematical basis to obtain and rigorously use likelihoods for detection problems with Gaussian noise. To facilitate comprehension the text is divided into three broad areas - reproducing kernel Hilbert spaces, Cramér-Hida representations and sto…
This book takes a concentrated look at the very latest best practices for Office 365 migration, with a focus on the needs of senior managers, IT managers, and others involved in key decisions when moving their business to the cloud. Based on popular chapters in his first book, O…
This book is about coding interview question of software and Internet companies. It covers five key factors which determine performance of candidates: (1) the basics of programming languages, data structures and algorithms, (2) approaches to writing code with high quality, (3) t…
Reconstructing or approximating objects from seemingly incomplete information is a frequent challenge in mathematics, science, and engineering. A multitude of tools designed to recover hidden information are based on Shannon's classical sampling theorem, a central pillar of Samp…
Beginning Windows 10 takes you through the new features of this amazing new operating system, revealing some of its surprising capabilities, and helping you customize it to suit you. Whether you are new to Windows, or you want to get up to speed with the latest features and chan…
This book constitutes the refereed proceedings of the International Conference on Intelligent Computer Mathematics, CICM 2015, held in Washington, DC, USA, in July 2015. The 16 full papers and 9 short papers presented together with two invited talks plus one abstract were carefu…
Many novel application scenarios and architectures in business process management or service composition are characterized by a distribution of activities and resources, and by complex interaction and coordination dynamics. In this book, Montali answers fundamental questions on …
Practical Guide to MongoDB: Architecting, Developing, and Administering MongoDB begins with a short introduction to the basics of NoSQL databases and then introduces readers to MongoDB-- Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable …
Precision Livestock presents the latest scientific results from worldwide research, field studies and practical application. The book contains peer-reviewed papers that were presented at the 1st European Conference on Precision Livestock Farming. The papers focus on physiologica…
Mobile devices, such as smart phones, have achieved computing and networking capabilities comparable to traditional personal computers. Their successful consumerization has also become a source of pain for adopting users and organizations. In particular, the widespread presence …
A new product can be easy or difficult to use, it can be efficient or cumbersome, engaging or dispiriting, it can support the way we work and think? or not. What options are available for systematically addressing such parameters and provide users with an appropriate functionali…
Machine learning and data mining are inseparably connected with uncertainty. The observable data for learning is usually imprecise, incomplete or noisy. Uncertainty Modeling for Data Mining: A Label Semantics Approach introduces 'label semantics', a fuzzy-logic-based theory for …
