A novel weight-optimized LSTM for dynamic pricing solutions in e-commerce platforms based on customer buying behaviour
Dynamic pricing (DP) alters product prices at the ideal moment and under the ideal
conditions to boost a company's profit. Numerous third-party DP solutions are currently …
conditions to boost a company's profit. Numerous third-party DP solutions are currently …
Fusion-based anomaly detection system using modified isolation forest for internet of things
In recent years, advanced threat and zero day attacks are increasing significantly, but the
traditional network intrusion detection system based on feature filtering or based on a well …
traditional network intrusion detection system based on feature filtering or based on a well …
Customer purchase prediction in electronic markets from clickstream data using the Oracle meta-classifier
Electronic commerce has brought about a fundamental change in marketing atmosphere.
Marketers strive to gain a competitive advantage by providing exciting electronic platforms to …
Marketers strive to gain a competitive advantage by providing exciting electronic platforms to …
[PDF][PDF] Application of data mining technique for customer purchase behavior via Extended RFM model with focus on BCG matrix from a data set of online retailing
S Gholamveisy, M Shemshaki… - Journal of Infrastructure …, 2024 - researchgate.net
This study explores the integration of data mining, customer relationship management
(CRM), and strategic management to enhance the understanding of customer behavior and …
(CRM), and strategic management to enhance the understanding of customer behavior and …
Analyzing the customer purchase data of an online shop** store by data mining: A real case study in Iran
N Moradi, M Jalilian - International Journal of Research in Industrial …, 2025 - riejournal.com
Nowadays, online shop** plays a vital role in providing services and delivering goods to
customers in the context of business intelligence and e-commerce. This research analyzes …
customers in the context of business intelligence and e-commerce. This research analyzes …
Customer Needs Classification from Online Social Media Using Bag-of-Concepts Representation.
Social media platforms are now a very powerful tool for digital marketing strategy because it
helps companies to be in direct contact with their customers. A communication problem in …
helps companies to be in direct contact with their customers. A communication problem in …
Predictive Analytics on Shopee for Optimizing Product Demand Prediction through K-Means Clustering and KNN Algorithm Fusion
This study focuses on predictive analysis in the context of the Shopee market, aiming to
optimize product demand forecasting through the combination of K-Means clustering and …
optimize product demand forecasting through the combination of K-Means clustering and …
An Online Shoppers Purchasing Intention Model Based on Ensemble Learning
The sales trends and the visitors' purchase intention of e-commerce are crucial issues for
companies. Therefore, companies want to know whether products are purchased based on …
companies. Therefore, companies want to know whether products are purchased based on …
DAT (Data Analytics Tool): A Data-Driven Decision-Making Tool for Data Analytics
SA Abaya, FE De Guzman - 2024 12th International …, 2024 - ieeexplore.ieee.org
Data Analytics Tool (DAT) is an application that collects and analyzes data in order to
improve business processes and aid in discovering hidden trends and patterns thereby …
improve business processes and aid in discovering hidden trends and patterns thereby …
Providing Recommendations to New ILMCI Edu Voucher Customers Using the Market Basket Analyst Algorithm
Every company involved in the education business has sales data. One thing that really
needs to be considered is the process of providing the best recommendations to customers …
needs to be considered is the process of providing the best recommendations to customers …