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PatternIQ Mining (PIQM)

Published by Sahara Digital Publication  •  eISSN: 3006-8894

Current Issue

Volume 1, Issue 1 - 2024

Original Research
A Model for Real-Time Heart Condition Prediction Based on Frequency Pattern Mining and Deep Neural Networks

Authors Details: Sampath Rajaram

Abstract: Data acquired by sensor-based Internet of Things devices has recently reached huge proportions, including bioinformation. Different kinds of health big data are crated using different methods, and the gathered data is categorized accordingly. The design is possible to evaluate potential dangers asso more...

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DOI: https://doi.org/10.70023/piqm241
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Original Research
The Evolutionary Algorithm Based on Pattern Mining for Large Sparse Multi-Objective Optimization Problems

Authors Details: Muath Jarrah and Ahmed Abu-Khadrah

Abstract: Most of the parameters in these sparse solutions are zeroed out, giving them their defining characteristic. In the actual world, several multiobjective optimization problems display Pareto-optimal solutions. A large dimensionality is often involved in Sparse Multiobjective Optimization Problems (SMO more...

8 7
DOI: 10.70023/piqm242
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Original Research
Modelling Player Skills in Rocket League through a Behavioural Pattern Mining Approach

Authors Details: Sayyed Johar

Abstract: In the gaming business, esports, also known as competitive gaming, has ushered in a new age that has brought up some innovative issues. One of these challenges is determining the level of player competency based on their plans and talents. Using game traces from Rocket League, a one-of-a-kind " more...

4 6
DOI: 10.70023/piqm243
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Original Research
A Sequential Pattern Mining Method for the Individualized Detection of Online Banking Fraudulent Transactions

Authors Details: Ghulam Abbas

Abstract: Financial institutions are facing a growing number of challenges as a result of the growth in fraudulent activities in online banking, which calls for the implementation of systems that are more advanced in their identification of fraud.Traditional rule-based techniques have difficulties when it com more...

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DOI: 10.70023/piqm244
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Original Research
Exploring Pattern Mining with FCM Algorithm for Predicting Female Athlete Behaviour in Sports Analytics

Authors Details: Mohanad Freq Ali-Fakulti and Jamil Abedalrahim Jamil Alsayayaydeh

Abstract: In the changing field of sports analytics, examining and predicting athlete behaviour is crucial for improving performance and reaching the best results. As data analysis becomes more important in sports, using pattern mining methods is critical to discovering meaningful patterns and trends in the l more...

6 6
DOI: 10.70023/piqm245
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