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Applied Technologies
  • Language: en
  • Pages: 523

Applied Technologies

This first volume of the three-volume set (CCIS 1193, CCIS 1194, and CCIS 1195) constitutes the refereed proceedings of the First International Conference on Applied Technologies, ICAT 2019, held in Quito, Ecuador, in December 2019. The 124 full papers were carefully reviewed and selected from 328 submissions. The papers are organized according to the following topics: technology trends; computing; intelligent systems; machine vision; security; communication; electronics; e-learning; e-government; e-participation.

Intelligent and Fuzzy Systems
  • Language: en
  • Pages: 788

Intelligent and Fuzzy Systems

None

La Trobe Working Papers in Linguistics
  • Language: en
  • Pages: 784

La Trobe Working Papers in Linguistics

  • Type: Book
  • -
  • Published: 1993
  • -
  • Publisher: Unknown

None

Mimarlıkta Malzeme 20
  • Language: tr
  • Pages: 168

Mimarlıkta Malzeme 20

Mimarlıkta Malzeme 20. Sayı

Selçuk tarihi
  • Language: tr
  • Pages: 64

Selçuk tarihi

  • Type: Book
  • -
  • Published: 1933
  • -
  • Publisher: Unknown

None

Mimarlıkta Malzeme 19
  • Language: tr
  • Pages: 176

Mimarlıkta Malzeme 19

Mimarlıkta Malzeme 19. Sayı

Türkiye Adalet Akademisi Dergisi 56. Sayı
  • Language: tr
  • Pages: 610

Türkiye Adalet Akademisi Dergisi 56. Sayı

  • Categories: Law

None

Random Forest Based Hybrid Approaches to Analysis of Retail Stores
  • Language: en

Random Forest Based Hybrid Approaches to Analysis of Retail Stores

  • Type: Book
  • -
  • Published: 2023
  • -
  • Publisher: Unknown

In the system where consumer preferences change very rapidly with the effect of the pandemic, offering services/products to consumers with similar consumption habits should be a habit that should keep the pulse of the retail sector constantly.In this study, 4-year sales data of a leading fashion company in Turkey's retail clothing industry were used to analyze consumer behavior. In the study, first of all, it was investigated whether there was a change in store clustering by looking at the number and group of clusters during pandemic period. In the next step, according to the number of classes given by the model, the highest model that can correctly classify these data before and after the p...