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.

Another adventure for the intrepid space/time traveller. The Doctor (Tom Baker) has returned the TARDIS to his home planet of Gallifrey, but why has he forbidden Leela (Louise Jameson) to accompany him? Why, upon claiming the Presidency, does he expel every senior Time Lord to the outer wastes? And what plan is he hatching with the hostile Vardans? The only people he seems to have taken into his confidence are K9 and Chancellor Borusa, but whatever game the Doctor is playing, he has reckoned without the return of an old foe... This story marks the departure from the series of Leela and K9 Mark 1.

Five high-quality workshops were held at the 13th Paci?c-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2009) in Bangkok, Thailand during April 27-30, 2009. There were 17, 6, 9, 4 and 5 accepted papers to be presented at the Paci?c Asia Workshop on Intelligence and Security Informatics (PAISI 2009), the workshop on Advances and Issues in Biomedical Data Mining (AIBDM 2009), the workshop on Data Mining with Imbalanced Classes and Error Cost (ICEC 2009),the workshopon Open Source in Data Mining (OSDM 2009), and the workshop on Quality Issues, Measures of Interestingness and Evaluation of Data Mining Models (QIMIE 2009). One competition, PAKDD 2009 Data Mining Competition, and one local workshop, Thai Track Session, were arranged. From these workshops (except PAISI which published its works in separate LNCS proceedings), we selected two or three best papers for this LNCS publication. PAKDD is a major international conference in the areas of data mining (DM) and knowledge discovery in database (KDD). It provides an internationalforum for researchersand industry practitioners to share their new ideas, original research results and practical development experiences from all KDD-related areas including data mining, data warehousing, machine learning, databases, statistics, knowledge acquisition and automatic scienti?c discovery, data visualization, causal induction and knowledge-based systems. In general,we wish to thank our General WorkshopCo-chairs,Manabu O- mura and Bernhard Pfahringe, for selecting and coordinating the great wo- shops. WewouldliketothankJunbinGao(CharlesSturtUniversity),PaulKwan (UniversityofNewEngland,Australia),JosiahPoon(UniversityofSydney),and Simon Poon (University of Sydney), for their arrangement of AIBDM 2009.

Another adventure for everyone's favourite time-traveller. The Doctor (Tom Baker), Romana and K9 find themselves suspected of being drug smugglers when they arrive on the Empress, a luxury liner. The Empress has become merged with another craft, the Hecate, after colliding during a hyperspace jump. Somebody on board the Empress is smuggling Vraxoin, a deadly addictive drug, and matters are complicated still further when the Mandrells, a race of monsters being transported from the planet Eden, are let loose on board the ship.

A collection of classic Doctor Who episodes featuring Tom Baker and Jon Pertwee in the role of the Doctor. In the four-parter 'The Horns of Nimon', the Skonnon ships have returned to the skies of Aneth, demanding tribute. But as the final consignment is being taken to Skonnos, an accident forces the ship off course. In the six-parter 'The Time Monster', a new invention to transport matter through time creates a number of disturbing distortions in the temporal fabric. The Doctor (Jon Pertwee) investigates, and soon finds himself up against his nemesis, The Master, in a battle to control a powerful sacred crystal. In the four-parter 'Underworld', the TARDIS lands the Doctor (Tom Baker) in a Minyan spaceship that is on a quest to find the Minyan race banks stored in a missing ship known as the P7E. They eventually find what they are looking for in a cave system at the centre of a newly-formed planet. But the P7E's computer has ideas of its own, and doesn't look kindly upon its new visitors.

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.