scholarly journals Machine learning based customer meta-combination brand equity analysis for marketing behavior evaluation

2022 ◽  
Vol 59 (1) ◽  
pp. 102800
Author(s):  
Zheng Xu ◽  
Guiyan Zhu ◽  
Noura Metawa ◽  
Qingyuan Zhou
Keyword(s):  
Machine Learning ◽  
Brand Equity ◽  
Equity Analysis

scholarly journals How Global are Global Brands? An Empirical Brand Equity Analysis

2010 ◽  
Author(s):  
Thomas Cleff ◽  
Lena Fischer ◽  
Cesar J. Sepulveda ◽  
Nadine Walter
Keyword(s):  
Brand Equity ◽  
Global Brands ◽  
Equity Analysis

scholarly journals Brand Equity Analysis of Select Personal Wash Brands Based on Brand Loyalty and Perceptual Selectivity

2017 ◽  
Vol 6 (2) ◽  
pp. 138
Author(s):  
Amrita Chatterjee ◽  
Isita Lahiri
Keyword(s):  
Special Reference ◽  
Brand Equity ◽  
Brand Loyalty ◽  
Major Part ◽  
Positive Impact ◽  
Demographic Variables ◽  
Personal Care ◽  
Brand Building ◽  
Equity Analysis ◽  
Key Factor

<em>A major part of Marketing is brand building. Once a brand is established in the market it has a positive impact on the sales of the product which is associated with that brand. Now in this process of brand building brand equity becomes the key factor to get the edge over the competitors. Brand equity of FMCG products depends on few factors but here the objective of the study is to analyze brand equity with respect to brand loyalty and perceptual selectivity as the key determinants of brand equity in Indian FMCG market with special reference to some personal wash brands under the category of personal care FMCG products. Some demographic variables are also taken into account to establish the influential effects of these variables on brand equity.</em>

Mind wandering as data augmentation: How mental travel supports abstraction

2020 ◽  
Vol 43 ◽  
Author(s):  
Myrthe Faber
Keyword(s):  
Machine Learning ◽  
Data Augmentation ◽  
Mental Content ◽  
Mind Wandering ◽  
Theoretical Framework ◽  
Important Addition

Abstract Gilead et al. state that abstraction supports mental travel, and that mental travel critically relies on abstraction. I propose an important addition to this theoretical framework, namely that mental travel might also support abstraction. Specifically, I argue that spontaneous mental travel (mind wandering), much like data augmentation in machine learning, provides variability in mental content and context necessary for abstraction.

Data Mining and Machine Learning

2020 ◽  
Author(s):  
Mohammed J. Zaki ◽  
Wagner Meira, Jr
Keyword(s):  
Machine Learning ◽  
Data Mining

Mathematics for Machine Learning

2020 ◽  
Author(s):  
Marc Peter Deisenroth ◽  
A. Aldo Faisal ◽  
Cheng Soon Ong
Keyword(s):  
Machine Learning
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