Personnaliser

OK
Rakuten - Achat et vente en ligne de produits neufs et d'occasionRakuten group
ClubR
Euro

Mettre en vente

Rakuten - Achat et vente en ligne de produits neufs et d'occasionRakuten group

An Introduction to Data Analysis using Aggregation Functions in R - James, Simon

Note : 0

0 avis
  • Soyez le premier à donner un avis

Vous en avez un à vendre ?

Vendez-le-vôtre

20,82 €

Produit Neuf

  • Livraison : 0,00 €
  • Livré entre le 2 et le 5 août
Voir les modes de livraison

ORIG1

PRO Vendeur favori

4,6/5 sur 209 ventes

Livre de poche,Expédition depuis la Chine; Livraison sous 8-12 jours

Publicité
 
Vous avez choisi le retrait chez le vendeur à
  • Payez directement sur Rakuten (CB, PayPal, 4xCB...)
  • Récupérez le produit directement chez le vendeur
  • Rakuten vous rembourse en cas de problème

Gratuit et sans engagement

Félicitations !

Nous sommes heureux de vous compter parmi nos membres du Club Rakuten !

En savoir plus

Retour

Horaires

      Note :


      Avis sur An Introduction To Data Analysis Using Aggregation Functions In R Format Broché  - Livre Informatique

      Note : 0 0 avis sur An Introduction To Data Analysis Using Aggregation Functions In R Format Broché  - Livre Informatique

      Les avis publiés font l'objet d'un contrôle automatisé de Rakuten.


      Présentation An Introduction To Data Analysis Using Aggregation Functions In R Format Broché

       - Livre Informatique

      Livre Informatique - James, Simon - 01/06/2018 - Broché - Langue : Anglais

      Auteur(s) : James, SimonEditeur : Springer International PublishingLangue : AnglaisParution : 01/06/2018Format : Moyen, de 350g à 1kgNombre de pages : 212Expédition : 330Dimensions : 23.5 x...

    • Auteur(s) : James, Simon
    • Editeur : Springer International Publishing
    • Langue : Anglais
    • Parution : 01/06/2018
    • Format : Moyen, de 350g à 1kg
    • Nombre de pages : 212
    • Expédition : 330
    • Dimensions : 23.5 x 15.5 x 1.2
    • Résumé :

      This textbook helps future data analysts comprehend aggregation function theory and methods in an accessible way, focusing on a fundamental understanding of the data and summarization tools. Offering a broad overview of recent trends in aggregation research, it complements any study in statistical or machine learning techniques. Readers will learn how to program key functions in R without obtaining an extensive programming background.
      Sections of the textbook cover background information and context, aggregating data with averaging functions, power means, and weighted averages including the Borda count. It explains how to transform data using normalization or scaling and standardization, as well as log, polynomial, and rank transforms. The section on averaging with interaction introduces OWS functions and the Choquet integral, simple functions that allow the handling of non-independent inputs. The final chapters examine software analysis with an emphasison parameter identification rather than technical aspects.
      This textbook is designed for students studying computer science or business who are interested in tools for summarizing and interpreting data, without requiring a strong mathematical background. It is also suitable for those working on sophisticated data science techniques who seek a better conception of fundamental data aggregation. Solutions to the practice questions are included in the textbook.

      Biographie:
      Simon James completed his PhD on The use of aggregation functions in decision making under the supervision of Dr. Gleb Beliakov at Deakin University in 2010. Since then he has held a Lecturing position in the School of Information Technology. Before undertaking his PhD, he had completed a double degree in education and arts, providing a solid grounding in reflective teaching practice. He currently teaches mathematics to students across a range of undergraduate and post-graduate courses, including education, science, IT and data analytics. His research interests to date have included aggregation functions, fuzzy sets, group decision making and consensus, and the application of indices in ecology. He has authored over 40 journal and conference papers and has been an associate editor for IEEE Transactions on Fuzzy Systems since 2015.

      Sommaire:
      Simon James completed his PhD on The use of aggregation functions in decision making under the supervision of Dr. Gleb Beliakov at Deakin University in 2010. Since then he has held a Lecturing position in the School of Information Technology. Before undertaking his PhD, he had completed a double degree in education and arts, providing a solid grounding in reflective teaching practice. He currently teaches mathematics to students across a range of undergraduate and post-graduate courses, including education, science, IT and data analytics. His research interests to date have included aggregation functions, fuzzy sets, group decision making and consensus, and the application of indices in ecology. He has authored over 40 journal and conference papers and has been an associate editor for IEEE Transactions on Fuzzy Systems since 2015.
      ...

      Détails de conformité du produit

      Consulter les détails de conformité de ce produit (

      Personne responsable dans l'UE

      )
      Neuf et occasion
      Le choixNeuf et occasion
      5% remboursés
      Minimum5% remboursés
      Satisfait ou remboursé
      La sécuritéSatisfait ou remboursé
      À votre écoute
      Le service clientsÀ votre écoute
      LinkedinFacebookTwitterInstagramYoutubePinterestTiktok
      visavisa
      mastercardmastercard
      klarnaklarna
      paypalpaypal
      floafloa
      americanexpressamericanexpress
      RakutenLogos.svg
      • Rakuten Kobo
      • Rakuten TV
      • Rakuten Viber
      • Rakuten Viki
      • Plus de services
      • À propos de Rakuten
      Rakuten.com