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BIG DATA ANALYSIS IN MARKETING DECISION MAKING INDUSTRIAL
REVOLUTION ERA 4.0: CASE STUDY ON FASHION INDUSTRY IN INDONESIA
The Industrial Revolution 4.0 era has changed the landscape of the world of
manufacturing and technology with the integration of digital technology, automation
and sophisticated data communications. The fashion industry in Indonesia is also…
manufacturing and technology with the integration of digital technology, automation
and sophisticated data communications. The fashion industry in Indonesia is also…
Big Five Personality Assessment Using KNN method with RoBERTA
Personality is the general way a person responds to and interacts with others. Personality is also often defined as the quality
that distinguishes individuals. Social media was created to help people communicate remotely and easily. These…
that distinguishes individuals. Social media was created to help people communicate remotely and easily. These…
Bimodal Keystroke Dynamics Based Authentication for Mobile Application Using Anagram
Currently, most of the smartphones recognize uses based on static biometrics, such as face and fingerprint.However, those traits were vulnerable against spoofing attack. For overcoming this problem, dynamic biometrics like the keystroke and gaze are…
Biometric System for Person Authentication Using
Retinal Vascular Branching Pattern
The person’s retina has its uniqueness that can be used as biometric recognition. The use of the retina
as a marking feature in biometrics is more accurate in making calls, verification, and authentication.
Retinal biometric characteristics are…
as a marking feature in biometrics is more accurate in making calls, verification, and authentication.
Retinal biometric characteristics are…
Birth-and-Death Processes in Python: The BirDePy Package
Birth-and-death processes (BDPs) form a class of continuous-time Markov chains that
are particularly suited to describing the changes in the size of a population over time.
Population-size-dependent BDPs (PSDBDPs) allow the rate at which a…
are particularly suited to describing the changes in the size of a population over time.
Population-size-dependent BDPs (PSDBDPs) allow the rate at which a…
bizicount: Bivariate Zero-Inflated Count Copula Regression Using R
Two common issues arise in regression modelling of bivariate count data: (i) dependence across outcomes, and (ii) excess zero counts (i.e., zero inflation). However, there
are currently few options to estimate bivariate zero-inflated count…
are currently few options to estimate bivariate zero-inflated count…
bizicount: Bivariate Zero-Inflated Count Copula Regression Using R
Two common issues arise in regression modelling of bivariate count data: (i) dependence across outcomes, and (ii) excess zero counts (i.e., zero inflation). However, there
are currently few options to estimate bivariate zero-inflated count…
are currently few options to estimate bivariate zero-inflated count…
Blang: Bayesian Declarative Modeling of General Data Structures and Inference via Algorithms Based on Distribution Continua
Consider a Bayesian inference problem where a variable of interest does not take
values in a Euclidean space. These “non-standard” data structures are in reality fairly
common. They are frequently used in problems involving latent discrete factor…
values in a Euclidean space. These “non-standard” data structures are in reality fairly
common. They are frequently used in problems involving latent discrete factor…
BLUE OCEAN STRATEGIES ATXYZSAFARIRESORT'SHOTEL
In the third quarter of 2018, growth in the hospitality sector by 4, 31% suffered a decline compared to growth in the third quarter of 2017 by 5, 58%. This is due to the increasingly intense competition in the …
BNPmix: An R Package for Bayesian Nonparametric Modeling via Pitman-Yor Mixtures
BNPmix is an R package for Bayesian nonparametric multivariate density estimation, clustering, and regression, using Pitman-Yor mixture models, a flexible and robust
generalization of the popular class of Dirichlet process mixture models. A variety…
generalization of the popular class of Dirichlet process mixture models. A variety…