Scenario-based requirements elicitation for user-centric explainable AI: A case in fraud detection
Abstract Explainable Artificial Intelligence (XAI) develops technical explanation methods and
enable interpretability for human stakeholders on why Artificial Intelligence (AI) and machine …
enable interpretability for human stakeholders on why Artificial Intelligence (AI) and machine …
Single and multiple separate LSTM neural networks for multiple output feature purchase prediction
Data concerning product sales are a popular topic in time series forecasting due to their
multidimensionality and wide presence in many businesses. This paper describes the …
multidimensionality and wide presence in many businesses. This paper describes the …
[PDF][PDF] Structured critical review on market basket analysis using deep learning & association rules
I Rehman, H Ghous - International Journal of Scientific & …, 2021 - researchgate.net
Market Basket Analysis (MBA) is a Data mining field to mine frequently buying patterns,
helping retailers while proposing new business strategies. As demand of customer changes …
helping retailers while proposing new business strategies. As demand of customer changes …
[PDF][PDF] Who Wants to Use an Augmented Reality Shopping Assistant Application
Brick-and-mortar retailers need to stay competitive to the convenience provided by online
channels. Technologies, such as personalized shopping assistants on smartphones can …
channels. Technologies, such as personalized shopping assistants on smartphones can …
Business Purchase Prediction Based on XAI and LSTM Neural Networks
The black-box nature of neural networks is an obstacle to the adoption of systems based on
them, mainly due to a lack of understanding and trust by end users. Providing explanations …
them, mainly due to a lack of understanding and trust by end users. Providing explanations …
Technological Disruption in Grocery Retail: An Overview of the Last Decade (2012–2021)
After grocery retail experienced a radical change with the emergence of the Internet and the
use of dot-com in electronic commerce, this sector is once again in a gradual and …
use of dot-com in electronic commerce, this sector is once again in a gradual and …
[PDF][PDF] A Critical Review of Market Basket Analysis on Retail Dataset using Data Mining Techniques
MH Malik, H Ghous, I Rehman - Editorial and Advisory Board, 2023 - isp.edu.pk
A Critical Review of Market Basket Analysis on Retail Dataset using Data Mining Techniques
Page 67 Southern Journal of Research Vol. 3 (1), 2023 61 A Critical Review of Market Basket …
Page 67 Southern Journal of Research Vol. 3 (1), 2023 61 A Critical Review of Market Basket …
Clustering-based customer representation learning from dynamic transactional data
G Glukhov, K Bochenina - 2022 IEEE 2nd Conference on …, 2022 - ieeexplore.ieee.org
We propose a new clustering-based method for customer feature vector extraction based on
the history of their financial transactions. Customer vector representations can be used to …
the history of their financial transactions. Customer vector representations can be used to …
Pseudo-multivariate lstm neural network approach for purchase day prediction in b2b
This research focuses on trying to predict the moment of the next purchase for a customer in
vendor-customer B2B scenario using an LSTM neural network and comparing prediction …
vendor-customer B2B scenario using an LSTM neural network and comparing prediction …
Visualising trade-offs of objectives in omnichannel management: a mental model approach
G Cakir - 2020 - mural.maynoothuniversity.ie
The retail industry is undergoing a major transformation process and retailers struggle in
implementing a sustainable omnichannel strategy. For retailers, it is of crucial importance to …
implementing a sustainable omnichannel strategy. For retailers, it is of crucial importance to …