DATA MINING TECHNIQUES FOR DATABASE PREDICTION: STARTING POINT

Faculty Computer Science Year: 2018
Type of Publication: ZU Hosted Pages: 7723 - 7738
Authors:
Journal: Journal of Theoretical and Applied Information Technology Little Lion Scientific Volume: 96
Keywords : DATA MINING TECHNIQUES , DATABASE PREDICTION: STARTING    
Abstract:
With more evolution in technology, the database increased and came more complex and huger. Also, the search process in these data became complicated and takes a lot of time to reach valuable information. So, we need to an intelligent tool t
   
     
 
       

Author Related Publications

  • Wael Said AbdelMageed Mohamed, "A big data approach to sentiment analysis using greedy feature selection with cat swarm optimization-based long short-term memory neural networks", Springer Nature, 2018 More
  • Wael Said AbdelMageed Mohamed, "High-Precision Brain Tumor Diagnosis Using SECNN-MNet Framework and Explainable AI", Springer Nature Link, 2025 More
  • Wael Said AbdelMageed Mohamed, "Deception and cloud integration: A multi-layered approach for DDoS detection, mitigation, and attack surface minimization in SD-IoT networks", .Elsevier Ltd, 2025 More
  • Wael Said AbdelMageed Mohamed, "Reinforcement Learning for Industrial Automation: A Comprehensive Review of Adaptive Control and Decision-Making in Smart Factories", MDPI, 2025 More
  • Wael Said AbdelMageed Mohamed, "RAUM-GANs: A Multi-Layer GAN-Enhanced Framework for Accurate Multiple Sclerosis Lesion Segmentation in MRI", Nature Portfolio, 2025 More

Department Related Publications

  • Ibrahiem Mahmoud Mohamed Elhenawy, "BERT-CNN: A Deep Learning Model for Detecting Emotions from Text", Tech Science Press, 2021 More
  • Ahmed Raafat Abass Mohamed Saliem, "BERT-CNN: A Deep Learning Model for Detecting Emotions from Text", Tech Science Press, 2021 More
  • Ahmed Raafat Abass Mohamed Saliem, "Using General Regression with Local Tuning for Learning Mixture Models from Incomplete Data Sets", ScienceDirect, 2010 More
  • Ahmed Raafat Abass Mohamed Saliem, "On determining efficient finite mixture models with compact and essential components for clustering data", ScienceDirect, 2013 More
  • Ahmed Raafat Abass Mohamed Saliem, "Unsupervised learning of mixture models based on swarm intelligence and neural networks with optimal completion using incomplete data", ScienceDirect, 2012 More
Tweet