The authors present a comprehensive study of efficient protocols and techniques for secure two-party computation – both general constructions that can be used to securely compute any functionality, and protocols for specific problems of interest. The book focuses on techniques for constructing efficient protocols and proving them...

PowerPivot comprises a set of technologies for easy access to data mining and business intelligence analysis from Microsoft Excel and SharePoint. Power users and developers alike can create sophisticated, online analytic processing (OLAP) solutions using PowerPivot for Excel, and then share those solutions with other users via PowerPivot for...

Similar to many research and application fields, geography has moved from a datapoor and computation-poor to a data-rich and computation-rich environment. The scope, coverage, and volume of digital geographic datasets are growing rapidly. Public and private sector agencies are creating, processing, and disseminating digital data on land use,...

Pattern recognition is a central topic in contemporary computer sciences, with continuously evolving topics, challenges, and methods, including machine learning, content-based image retrieval, and model- and knowledge-based approaches, just to name a few. The Iberoamerican Congress on Pattern Recognition (CIARP) has become established as a...

Adaptive Hypermedia has emerged as an important area of both academic and deployed research. It encompasses a broad range of research that will enable personalized, adaptive hypermedia systems to play an even more effective role in people’s lives. The Web has enabled the widespread use of many personalized systems, such as recommenders,...

In this textbook, I take an unconventional approach to data analysis. Its contents are heavily influenced by the idea that data analysis should help in enhancing and augmenting knowledge of the domain as represented by the concepts and statements of relation between them. According to this view, two main pathways for data analysis are...

As the title of this book suggests, it is an update of the first edition of the Handbook of Natural Language Processing which was edited by Robert Dale, Hermann Moisl, and Harold Somers and published in the year 2000. The vigorous growth of new methods in Natural Language Processing (henceforth, NLP) since then, strongly suggested that...

This is the first comprehensive introduction to Support Vector Machines (SVMs), a new generation learning system based on recent advances in statistical learning theory. SVMs deliver state-of-the-art performance in real-world applications such as text categorisation, hand-written character recognition, image classification, biosequences...

Building Integrated Business Intelligence Solutions with SQL Server 2008 R2 & Office 2010 explains how to take full advantage of Microsoft's collaborative business intelligence (BI) tools. A variety of powerful, flexible technologies are covered, including SQL...

Concepts like ubiquitous computing and ambient intelligence that exploit increasingly interconnected networks and mobility put new requirements on data management. An important element in the connected world is that data will be accessible anytime anywhere. This also has its downside in that it becomes easier to get unauthorized data...

With the advent of computers, very large datasets have become routine. Standard statistical methods don’t have the power or flexibility to analyse these efficiently, and extract the required knowledge. An alternative approach is to summarize a large dataset in such a way that the resulting summary dataset is of a manageable size and yet...

The Handbook of Software Engineering and Knowledge Engineering is the first comprehensive handbook covering these two important areas that have become interwoven in recent years. Many international experts contribute to this Hand book. Each article is written in a way that a practitioner of software engineering and knowledge engineering can...