Big data analytics for supply chain transformation: A systematic literature review using scor framework
Recent developments in information technology generating massive amount of data are
referred to as big data. Such data with variety and velocity pose a challenge to supply chain …
referred to as big data. Such data with variety and velocity pose a challenge to supply chain …
[图书][B] Digitization in Controlling
AG Kamphake - 2020 - Springer
In today's world, data volumes are growing at an explosive rate due to digitization. 1 With the
objective of both managing and harnessing these data for business purposes, this …
objective of both managing and harnessing these data for business purposes, this …
[PDF][PDF] Predicting the Albanian economic development using multivariate Markov chain model
In this work, the economic development and relation to social and demography indices in
Albania were studied. Four time series (yearly data for the period 1995–2018) were …
Albania were studied. Four time series (yearly data for the period 1995–2018) were …
MODELING THE CONTRIBUTION OF THE MANUFACTURING SECTOR TO THE GROSS DOMESTIC PRODUCT OF KENYA USING TIME SERIES ANALYSIS
M Wanyonyi - MEDIA STATISTIKA - ejournal.undip.ac.id
The manufacturing sector is considered a pivotal contributor to the growth of the economy
around the globe. Kenya relies on the manufacturing sector to generate revenue and …
around the globe. Kenya relies on the manufacturing sector to generate revenue and …
Time Series Forecasting: An Application to Balance Sheet
FVY de Araoz Murillo - 2021 - search.proquest.com
Abstract The Internal Capital Adequacy Assessment Process (ICAAP) provides a qualitative
and quantitative assessment of capital risks to which banking institutions are exposed to in …
and quantitative assessment of capital risks to which banking institutions are exposed to in …
Time Series Decomposition for Anomalous E-commerce Transactions
Online trading is one of the pillars of the digital economy. The rapid increase of e-commerce
transactions has increased the risk exposure of providers and made it virtually impossible to …
transactions has increased the risk exposure of providers and made it virtually impossible to …
Predicting the Albanian economic development using multivariate Markov chain model
L Basha, X Allka, A Ferrja - 2020 - etalpykla.vilniustech.lt
In this work, the economic development and relation to social and demography indices in
Albania were studied. Four time series (yearly data for the period 1995–2018) were …
Albania were studied. Four time series (yearly data for the period 1995–2018) were …
Capacidad predictiva del modelo ARIMA-ANN en las acciones financieras colombianas
JD Jaramillo Perafán - 2020 - repositorio.uniandes.edu.co
La integración de los modelos de Machine Learning en la econometría clásica se ha venido
desarrollando a un ritmo desacelerado. En particular, modelos híbridos (ARIMA-ANN) no …
desarrollando a un ritmo desacelerado. En particular, modelos híbridos (ARIMA-ANN) no …
Automatic forecasting y sus aplicaciones en Big Data: una comparativa entre algoritmos
A Galmés Mifsud - 2019 - upcommons.upc.edu
La predicción es uno de los campos más importantes tanto de la Economía como de la
Estadística. El desarrollo de técnicas de predicción automática puede permitir dotarse de …
Estadística. El desarrollo de técnicas de predicción automática puede permitir dotarse de …