First published in 2004. Routledge is an imprint of Taylor and Francis, an informa company.

What does the future hold for broadcasting in Britain? What revenues will be available for funding programming in the 1990s and beyond? British broadcasting stands on the threshold of immense change. The BBC is reviewing its purpose and funding in an era of deregulation, mixed funding and multiple services. The independent television companies have staked their futures on advertising revenues which may not materialise, meanwhile, broadcasters face increasing competition for viewers and revenue from satellite television channels. There is much agreement about what the audience wants in the 1990s: quality programmes, diversity, home grown entertainment, comprehensive cultural coverage and reliable information at the flick of a switch. There is less agreement about how these needs are to be met and what balance is required between commercial and public broadcasting to ensure that they are satisfied. "Paying for Broadcasting: The Handbook" takes these debates on board through a wide-ranging discussion of funding options open to broadcasters.

Data mining is the art and science of intelligent data analysis. By building knowledge from information, data mining adds considerable value to the ever increasing stores of electronic data that abound today. In performing data mining many decisions need to be made regarding the choice of methodology, the choice of data, the choice of tools, and the choice of algorithms. Throughout this book the reader is introduced to the basic concepts and some of the more popular algorithms of data mining. With a focus on the hands-on end-to-end process for data mining, Williams guides the reader through various capabilities of the easy to use, free, and open source Rattle Data Mining Software built on the sophisticated R Statistical Software. The focus on doing data mining rather than just reading about data mining is refreshing. The book covers data understanding, data preparation, data refinement, model building, model evaluation, and practical deployment. The reader will learn to rapidly deliver a data mining project using software easily installed for free from the Internet. Coupling Rattle with R delivers a very sophisticated data mining environment with all the power, and more, of the many commercial offerings.

Compunction was one of the most important emotions for medieval Christianity; in fact, through its confessional function, compunction became the primary means for an affective sinner to gain redemption. Cultures of Compunction in the Medieval World explores how such emotion could be expressed, experienced and performed in medieval European society. Using a range of disciplinary approaches - including history, philosophy, art history, literary studies, performance studies and linguistics - this book examines how and why emotions which now form the bedrock of modern western culture were idealized in the Middle Ages. By bringing together expertise across disciplines and medieval languages, this important book demonstrates the ubiquity and impact of compunction for medieval life and makes wider connections between devotional, secular and quotidian areas of experience.

This book traces the development of the ideal of sincerity from its origins in Anglo-Saxon monasteries to its eventual currency in fifteenth-century familiar letters. Beginning by positioning sincerity as an ideology at the intersection of historical pragmatics and the history of emotions, the author demonstrates how changes in the relationship between outward expression and inward emotions changed English language and literature. While the early chapters reveal that the notion of sincerity was a Christian intervention previously absent from Germanic culture, the latter part of the book provides more focused studies of contrition and love. In doing so, the author argues that under the rubric of courtesy these idealized emotions influenced English in terms of its everyday pragmatics and literary style. This fascinating volume will be of broad interest to scholars of medieval language, literature and culture.

This book constitutes the refereed proceedings of the 15th Australasian Conference on Data Mining, AusDM 2017, held in Melbourne, VIC, Australia, in August 2017. The 17 revised full papers presented together with 11 research track papers and 6 application track papers were carefully reviewed and selected from 31 submissions. The papers are organized in topical sections on clustering and classification; big data; time series; outlier detection and applications; social media and applications.