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The M-Bomb
  • Language: en
  • Pages: 220

The M-Bomb

  • Type: Book
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  • Published: 2001-04-24
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  • Publisher: Capstone

You live in a landscape littered with deflated stock indexes and failed dot-com ad campaigns, so perhaps you are prone to think that this Internet deal is a fad, like the hula-hoop. According to author Geoff Webb, if you think the Internet will fade away, you are very wrong. The true Internet explosion hasn't happened yet, but it will. Once it does, business will become so competitive that companies that haven't adapted to the new multi-channel reality - in which customers will expect a vast array of new ordering and delivery services at no extra cost - will fade away. Speed is of the essence. Older companies must form partnerships to get their competencies up to a competitive level. If hierarchies, dead weight and slow adapters obstruct radical change, you must discard them. getAbstract hears the essential message: a Darwinian "adapt or die." Adapt to the new multi-channel reality or whither away. If you want to see the future, look here.

Redbourn Through Time
  • Language: en
  • Pages: 188

Redbourn Through Time

The fascinating history of Redbourn illustrated through old and modern pictures.

A Redbourn Commoner
  • Language: en
  • Pages: 150

A Redbourn Commoner

  • Type: Book
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  • Published: 1982
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  • Publisher: Unknown

None

A Redbourn Commoner
  • Language: en
  • Pages: 247

A Redbourn Commoner

A fascinating slice of Redbourn history told by a Redbourn lad.

Information Retrieval
  • Language: en
  • Pages: 289

Information Retrieval

  • Type: Book
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  • Published: Unknown
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  • Publisher: PediaPress

None

Machine Learning: ECML 2006
  • Language: en
  • Pages: 851

Machine Learning: ECML 2006

  • Type: Book
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  • Published: 2006-09-21
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  • Publisher: Springer

This book constitutes the refereed proceedings of the 17th European Conference on Machine Learning, ECML 2006, held, jointly with PKDD 2006. The book presents 46 revised full papers and 36 revised short papers together with abstracts of 5 invited talks, carefully reviewed and selected from 564 papers submitted. The papers present a wealth of new results in the area and address all current issues in machine learning.

Data Mining
  • Language: en
  • Pages: 341

Data Mining

This volume provides a snapshot of the current state of the art in data mining, presenting it both in terms of technical developments and industrial applications. The collection of chapters is based on works presented at the Australasian Data Mining conferences and industrial forums. Authors include some of Australia's leading researchers and practitioners in data mining. The volume also contains chapters by regional and international authors.

Isotopes in Heterogeneous Catalysis
  • Language: en
  • Pages: 308

Isotopes in Heterogeneous Catalysis

The purpose of this book is to review the current, state-of-the-art application of isotopic methods to the field of heterogeneous catalysis. Isotopic studies are arguably the ultimate technique in in situ methods for heterogeneous catalysis. In this review volume, chapters have been contributed by experts in the field and the coverage includes both the application of specific isotopes — Deuterium, Tritium, Carbon-14, Sulfur-35 and Oxygen-18 – as well as isotopic techniques — determination of surface mobility, steady state transient isotope kinetic analysis, and positron emission profiling. Contents:Deuterium-Labelling in Mechanistic Studies on Heterogeneous Acid-Base Catalysts (J Somme...

Advances in Knowledge Discovery and Data Mining
  • Language: en
  • Pages: 731

Advances in Knowledge Discovery and Data Mining

This book constitutes the refereed proceedings of the 8th Pacific-Asia Conference on Knowledge Discovery and Data mining, PAKDD 2004, held in Sydney, Australia in May 2004. The 50 revised full papers and 31 revised short papers presented were carefully reviewed and selected from a total of 238 submissions. The papers are organized in topical sections on classification; clustering; association rules; novel algorithms; event mining, anomaly detection, and intrusion detection; ensemble learning; Bayesian network and graph mining; text mining; multimedia mining; text mining and Web mining; statistical methods, sequential data mining, and time series mining; and biomedical data mining.