Graham Williams – författare
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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 torapidly 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.
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An unabridged reading of this novelisation of a ''missing'' TV adventure featuring the Celestial Toymaker."Slick and polished...immersive productions of much-loved novelisations...long may we enjoy them." - Doctor Who MagazineDrawn into ''the nexus of the primeval cauldron of Space-Time'', the Doctor and Peri are somewhat surprised to find themselves at Blackpool Pleasure Beach.Is it really just chance that has brought them to the funfair? Or is their arrival somehow connected with the sinister presence of a rather familiar Chinese Mandarin?Once again the Doctor encounters his deadly adversary the Celestial Toymaker in this adventure by Graham Williams, planned but never made for the TV series in 1986.Reading produced by Neil Gardner/Ladbroke Audio.Sound design by Simon Power.Executive producer for BBC Audio: Michael Stevens© 2023 BBC Studios Distribution Ltd (P) 2023 BBC Studios Distribution Ltd
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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.
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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.
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*Due to the COVID-19 pandemic the conference was held online.
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