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AI‐Powered Anomaly Detection for Secure Internet of Things (IoT): Optimising XGBoost and Deep Learning With Bayesian Optimisation

CAAI Transactions on Intelligence Technology, Volume 11, Issue 2, Page 447-463, April 2026.
ABSTRACT Intelligent and adaptive defence systems that can quickly thwart changing cyberthreats are becoming more and more necessary in the dynamic and data‐intensive Internet of things (IoT) environment. Using the NSL‐KDD benchmark dataset, this paper presents an improved anomaly detection system that combines an optimised sequential neural network ...
Seong‐O Shim, Lal Hussain, Mohammed A. Alqarni, Faisal S. Alsubaei, Rasha Jamal Atwah   +4 more
wiley   +1 more source

When the Disruptor Is Disrupted: The Role of Transactional Friction on Incumbents During the Exit and Re‐Entry of Innovative Firms

Journal of Business Logistics, Volume 47, Issue 2, April 2026.
ABSTRACT A rich body of literature highlights the successful market entry of innovative disruptors in the retail sector. However, these innovators are in an inherently precarious position and face substantial market and regulatory pressures. As a result, they can frequently become “disrupted” themselves.
Sina Golara, Seongkyoon Jeong, Zachary Rogers   +2 more
wiley   +1 more source

Prediction of Customer Behavior Changing via a Hybrid Approach

IEEE Open Journal of the Computer Society
This study proposes a hybrid approach to predict customer churn by combining statistic approaches and machine learning models. Unlike traditional methods, where churn is defined by a fixed period of time, the proposed algorithm uses the probability of ...
Nien-Ting Lee, Hau-Chen Lee, Joseph Hsin, Shih-Hau Fang   +3 more
doaj   +1 more source

Subscriber churn in the Australian ISP market [PDF]

Rapid growth in Internet use, combined with easy market entry by Internet service providers (ISPs), has resulted in a highly competitive supply of Internet services.
Coble-Neal, Grant, Madden, Gary G, Savage, Scott J   +2 more
core   +1 more source

A Comprehensive Evaluation of Machine Learning and Deep Learning Models for Churn Prediction

Information
Churn prediction has become one of the core concepts in customer relationship management within the insurances, telecom, and internet service provider industries, which is essential in customer retention.
Nabil M. AbdelAziz, Mostafa Bekheet, Ahmad Salah, Nissreen El-Saber, Wafaa T. AbdelMoneim   +4 more
doaj   +1 more source

Data-driven approaches to predicting customer churn in a non-contractual car-sharing company

Transportation Research Interdisciplinary Perspectives
Customer churn is a commonly found problem in most businesses. Yet, it is not well studied in sharing economy businesses, due largely to difficulty in observing customer attrition across different customer segments.
Pawaris Wachwanakijkul, Supawit Junsiritrakhoon, Nantachai Kantanantha, Gopalakrishnan Narayanamurthy, Pisit Jarumaneeroj   +4 more
doaj   +1 more source

Does Service Bundling Reduce Churn? [PDF]

We examine whether bundling in telecommunications services reduces churn using a series of large, independent cross sections of household decisions. To identify the effect of bundling, we construct a pseudo-panel dataset and utilize a linear, dynamic ...
Jeffrey T. Prince, Shane Greenstein
core  

Applied business analytics approach to IT projects – Methodological framework [PDF]

, 2017
The design and implementation of a big data project differs from a typical business intelligence project that might be presented concurrently within the same organization. A big data initiative typically triggers a large scale IT project that is expected
Ivanov, Penko, Zlatev, Vladimir
core  

DEPAS: A Decentralized Probabilistic Algorithm for Auto-Scaling

, 2012
The dynamic provisioning of virtualized resources offered by cloud computing infrastructures allows applications deployed in a cloud environment to automatically increase and decrease the amount of used resources.
Calcavecchia, Nicolo M., Caprarescu, Bogdan Alexandru, Di Nitto, Elisabetta, Dubois, Daniel J., Petcu, Dana   +4 more
core   +1 more source

Development of a Flask-based Application for Bank Customer Churn Prediction as a Decision Support Tool

Sistemasi: Jurnal Sistem Informasi
Customer churn prediction is a crucial aspect of the banking industry for maintaining customer loyalty and reducing the cost of acquiring new customers.
Suluh Arif Wibowo, Muhammad Rezky, Ali Ibrahim, Mira Afrina, Fathoni Fathoni   +4 more
doaj   +1 more source