A novel weight-optimized LSTM for dynamic pricing solutions in e-commerce platforms based on customer buying behaviour

S Suresh Kumar, M Margala, S Siva Shankar… - Soft Computing, 2023 - Springer
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 …

Fusion-based anomaly detection system using modified isolation forest for internet of things

O AbuAlghanam, H Alazzam, E Alhenawi… - Journal of Ambient …, 2023 - Springer
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 …

Customer purchase prediction in electronic markets from clickstream data using the Oracle meta-classifier

F Ehsani, M Hosseini - Operational Research, 2024 - Springer
Electronic commerce has brought about a fundamental change in marketing atmosphere.
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 …

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 …

Customer Needs Classification from Online Social Media Using Bag-of-Concepts Representation.

K Laosen, A Intana… - International Journal on …, 2023 - search.ebscohost.com
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 …

Predictive Analytics on Shopee for Optimizing Product Demand Prediction through K-Means Clustering and KNN Algorithm Fusion

M Febima, L Magdalena - Journal of Information Systems and …, 2024 - journal-isi.org
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 …

An Online Shoppers Purchasing Intention Model Based on Ensemble Learning

A Karakaya, İ Karakaya… - 2023 4th International …, 2023 - ieeexplore.ieee.org
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 …

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 …

Providing Recommendations to New ILMCI Edu Voucher Customers Using the Market Basket Analyst Algorithm

M Khadapi, AMH Pardede… - … Conference of Computer …, 2023 - ieeexplore.ieee.org
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 …