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The moa were the most unusual and unique family of birds that ever lived, a clan of feathered monsters that developed in isolation for many, many millions of years. They became extinct reasonably quickly after the arrival of the Maori, and were a distant memory by the time European explorers arrived. So the discovery and identification of their bones in the 1840s was a worldwide sensation, claimed by many to be the zoological find of the century. This book begins by recounting the story of discovery, which was characterised by an unbelievable amount of controversy and intrigue. Since then there has been an unbroken chain of new discoveries, culminating with intriguing revelations in recent years about the moa's biology, that have come to light through DNA testing and radio-dating. This is a fascinating and important book that richly recounts the life and death of our strangest bird. Packed with a fantastic range of illustrations, Moa fills an important gap in our natural history literature, a popular but serious book on this national icon.
A hands-on approach to tasks and techniques in data stream mining and real-time analytics, with examples in MOA, a popular freely available open-source software framework. Today many information sources—including sensor networks, financial markets, social networks, and healthcare monitoring—are so-called data streams, arriving sequentially and at high speed. Analysis must take place in real time, with partial data and without the capacity to store the entire data set. This book presents algorithms and techniques used in data stream mining and real-time analytics. Taking a hands-on approach, the book demonstrates the techniques using MOA (Massive Online Analysis), a popular, freely available open-source software framework, allowing readers to try out the techniques after reading the explanations. The book first offers a brief introduction to the topic, covering big data mining, basic methodologies for mining data streams, and a simple example of MOA. More detailed discussions follow, with chapters on sketching techniques, change, classification, ensemble methods, regression, clustering, and frequent pattern mining. Most of these chapters include exercises, an MOA-based lab session, or both. Finally, the book discusses the MOA software, covering the MOA graphical user interface, the command line, use of its API, and the development of new methods within MOA. The book will be an essential reference for readers who want to use data stream mining as a tool, researchers in innovation or data stream mining, and programmers who want to create new algorithms for MOA.
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An investigation of the rich and unusual fauna of prehistoric New Zealand, telling of one of the most dramatic extinctions of modern times. The moa, a giant flightless bird, was among the animals lost, the authors summarize what is known about the bird, reconstructing its life and ecology.
Prodigious Birds brings together the entire field of moa-related research, some 150 years of enquiry. The moa was a large flightless bird, hunted into extinction by the Maori tribes of New Zealand before the arrival of Europeans. Atholl Anderson brings an historical perspective to the development of moa research and its formative debates, analytical methods and results, reviewing evidence from palaeontology, biology, archaeology, ethnography and history.
"Hunting pressure, habitat destruction, and introduced predators led to moa extinction by A.D. 1650 according to the previously held serial overkill model. In the currently accepted rapid "blitzkrieg" model, all the moas were gone by A.D. 1450, over 300 years before the first Europeans landed with Captain Cook in 1769. However a number of moa sighting claims have been made since 1769 and the moas lingered on until a later date in some remote, isolated areas."--Back cover.
The proceedings or notices of the member institutes of the society form part of the section "Proceedings" in each volume; lists of members are included in v. 1-41, 43-60, 64-