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PatternIQ Mining (PIQM)

Published by Sahara Digital Publication  •  eISSN: 3006-8894

Current Issue

Volume 2, Issue 4 - 2025

Original Research
Using Environmental Data Processing and Pattern Recognition for Rapid Identification and Reduction of Air Pollution Risks

Authors Details: Youssef R. Haddad and Noor S. Al-Jabri

Abstract: Air pollution is a significant problem for people's health and the environment in rapidly growing cities, where many sources of pollution are constantly changing. Traditional monitoring systems struggle to spot emerging pollution trends in real time because they take too long to detect them, don more...

50 24
DOI: 10.70023/sahd/242501
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Original Research
A Generative Pattern Extraction Algorithm Tackling Ultra-Imbalanced Data in Financial Fraud Detection Systems

Authors Details: Fatima M and Al-Nuaimi

Abstract: The process of financial fraud detection is increasingly becoming dependent on intelligent systems that are capable of identifying delicate, complex, and dynamic fraudulent activities in the large transactions environments. Fraudulent transactions tend to constitute less than 1 percent of the total more...

47 43
DOI: 10.70023/sahd/242502
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Original Research
Adaptive Hypergraph‑Attention BasketNet for Dynamic High‑Utility Sequential Pattern Mining in Omni‑Channel Retail Recommendation Systems

Authors Details: Aisha Al-Mansoori and Khaled Al-Nuaimi

Abstract: Identifying high-utility sequential patterns that accurately reflect customer preferences and cross-channel dynamics is becoming increasingly difficult as omni-channel retail grows rapidly and generates diverse, ever-changing transactional data. Conventional sequential pattern mining and recommendat more...

39 19
DOI: 10.70023/sahd/242503
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Original Research
Contrastive Session Pattern Mixer (CSPM) Model for Session-Aware Next Click Prediction and Personalized E-Commerce Recommendation

Authors Details: Al-Mazrouei and Hassan Noor

Abstract: In personalized e-commerce recommendation systems, it's very hard to guess what the next click will be during an active user session because there are very few interactions (more than 90%), user intent changes frequently, and item-to-item relationships are complicated. In very fast-paced retail more...

37 24
DOI: 10.70023/sahd/242504
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Original Research
Graph Enhanced Periodic Mobility Learner (GE PML) for Trajectory Pattern Mining and Intelligent Next Location Prediction in Urban Transport Networks

Authors Details: Ahmed Lina and Al-Kaabi Yasin

Abstract: Fast urbanization and the widespread use of location-aware electronics have generated large amounts of trajectory data from city transportation networks. Because of changing network topologies, complex spatial relationships, and movement patterns that happen at certain times, it is still hard to eff more...

41 34
DOI: 10.70023/sahd/242505
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Original Research
Community Aware Temporal Pattern Diffusion Network (CTPDN) for Early Detection of Emerging Communities and Viral Cascades in Social Platforms

Authors Details: Omar bin Rashid and El-Rashidi

Abstract: As individuals are always changing, online social platforms can quickly create new communities and information cascades. Many apps depend on finding these occurrences early. Some of these are predicting trends, analyzing public opinion, targeted marketing, and stopping the spread of false informatio more...

37 27
DOI: 10.70023/sahd/242506
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Original Research
Dual View Rare Pattern Autoencoder (DVRPA) for Real Time Financial Fraud Detection in High Velocity Transaction Streams

Authors Details: Sara T. Al-Khalifi

Abstract: As internet payment methods have evolved quickly, so have the number and complexity of fraudulent activities. This has made money transfers happen faster. Traditional fraud detection algorithms often have problems with extreme class imbalance, concept drift, and the need to make decisions in real ti more...

38 24
DOI: 10.70023/sahd/242507
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