• Afhalen na 1 uur in een winkel met voorraad
  • Gratis thuislevering in België vanaf € 30
  • Ruim aanbod met 7 miljoen producten
  • Afhalen na 1 uur in een winkel met voorraad
  • Gratis thuislevering in België vanaf € 30
  • Ruim aanbod met 7 miljoen producten

Hypothesis Generation and Interpretation

Design Principles and Patterns for Big Data Applications

Hiroshi Ishikawa
Hardcover | Engels | Studies in Big Data | nr. 139
€ 189,95
+ 379 punten
Levertermijn 1 à 4 weken
Eenvoudig bestellen
Veilig betalen
Gratis thuislevering vanaf € 30 (via bpost)
Gratis levering in je Standaard Boekhandel

Omschrijving

This book focuses in detail on data science and data analysis and emphasizes the importance of data engineering and data management in the design of big data applications. The author uses patterns discovered in a collection of big data applications to provide design principles for hypothesis generation, integrating big data processing and management, machine learning and data mining techniques.

The book proposes and explains innovative principles for interpreting hypotheses by integrating micro-explanations (those based on the explanation of analytical models and individual decisions within them) with macro-explanations (those based on applied processes and model generation). Practical case studies are used to demonstrate how hypothesis-generation and -interpretation technologies work. These are based on "social infrastructure" applications like in-bound tourism, disaster management, lunar and planetary exploration, and treatment of infectious diseases.

The novel methods and technologies proposed in Hypothesis Generation and Interpretation are supported by the incorporation of historical perspectives on science and an emphasis on the origin and development of the ideas behind their design principles and patterns.

Academic investigators and practitioners working on the further development and application of hypothesis generation and interpretation in big data computing, with backgrounds in data science and engineering, or the study of problem solving and scientific methods or who employ those ideas in fields like machine learning will find this book of considerable interest.

Specificaties

Betrokkenen

Auteur(s):
Uitgeverij:

Inhoud

Aantal bladzijden:
372
Taal:
Engels
Reeks:
Reeksnummer:
nr. 139

Eigenschappen

Productcode (EAN):
9783031435393
Verschijningsdatum:
2/02/2024
Uitvoering:
Hardcover
Formaat:
Genaaid
Afmetingen:
152 mm x 232 mm
Gewicht:
771 g
Standaard Boekhandel

Alleen bij Standaard Boekhandel

+ 379 punten op je klantenkaart van Standaard Boekhandel
E-BOOK ACTIE

Tot meer dan 50% korting

op een selectie e-books
E-BOOK ACTIE
E-book kortingen
Standaard Boekhandel

Beoordelingen

We publiceren alleen reviews die voldoen aan de voorwaarden voor reviews. Bekijk onze voorwaarden voor reviews.