Graham Williams

John Ainsworth

The Nightmare Fair

The Code War

The Missing Episodes

Doctor Who: The Nightmare Fair

Iolo Williams

Roger Lovegrove

The rugged countryside of Wales has long been a destination for successive generations of naturalists, ornithologists, oologists and, latterly, birdwatchers. Since the pioneering days of Willoughby and Ray, Pennant and Edward Llwyd, a growing number of intrepid travellers have recorded the wildlife and other natural riches of the mountains and coastlines of Wales. Despite these beginnings and the more recent twentieth century vogue for birdwatching, no volume on the birds of Wales has been produced until now to serve the increasing need for scientifically valid information for conservation purposes. In the years that have passed since the first naturalists visited Wales, changes of unimaginable scale have taken place in the Welsh countryside which have had equally dramatic impacts on the native bird communities. A succession of bird species have either been eliminated deliberately by the hand of man - mainly birds of prey - or have been dispossessed by changes in land use, the spread of industrialisation, urbanisation and pollution, trends which continue today to the increasing detriment of even some of our most familiar countryside birds. Much fine habitat remains however, and new species have come in to colonise Wales and add to the magic of its countryside. This volume sets out for the first time the historical and current status of all the bird species found in Wales together with their present distribution. The three authors, all staff of the RSPB in Wales, have between them an accumulated experience of some 80 years of first-hand knowledge of birds in the Principality. Their knowledge and love of the birds and Wales itself makes this authoritative volume a landmark both in Welsh and ornithological publishing.

Birds in Wales

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.

Sincerity in Medieval English Language and Literature

Yanchang Zhao

Thuc D. Le

Kok-Leong Ong

Warren H. Jin

Sebastien Wong

Lin Liu

This book constitutes the refereed proceedings of the 17th Australasian Conference on Data Mining, AusDM 2019, held in Adelaide, SA, Australia, in December 2019. The 20 revised full papers presented were carefully reviewed and selected from 56 submissions. The papers are organized in sections on research track, application track, and industry showcase.

17th Australasian Conference, AusDM 2019, Adelaide, SA, Australia, December 2–5, 2019, Proceedings

Data Mining

Thanaruk Theeramunkong

Cholwich Nattee

Paulo J. L. Adeodato

Nitesh Chawla

Peter Christen

Philippe Lenca

Josiah Poon

This book constitutes the proceedings of the PAKDD 2009 International Workshops on New Frontiers in Applied Data Mining, held in Bangkok, Thailand in April 2010.

PAKDD 2009 International Workshops, Bangkok, Thailand, April 27-30, 2010. Revised Selected Papers

New Frontiers in Applied Data Mining

The Essentials of Data Science: Knowledge Discovery Using R presents the concepts of data science through a hands-on approach using free and open source software. It systematically drives an accessible journey through data analysis and machine learning to discover and share knowledge from data. Building on over thirty years' experience in teaching and practising data science, the author encourages a programming-by-example approach to ensure students and practitioners attune to the practise of data science while building their data skills. Proven frameworks are provided as reusable templates. Real world case studies then provide insight for the data scientist to swiftly adapt the templates to new tasks and datasets. The book begins by introducing data science. It then reviews R's capabilities for analysing data by writing computer programs. These programs are developed and explained step by step. From analysing and visualising data, the framework moves on to tried and tested machine learning techniques for predictive modelling and knowledge discovery. Literate programming and a consistent style are a focus throughout the book.

The Essentials of Data Science: Knowledge Discovery Using R

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.

The Art of Excavating Data for Knowledge Discovery

Data Mining with Rattle and R

Graham Williams

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