TeQ Research – Research Tutorial for Computer Science and Technologies
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TeQ Research – Research Tutorial for Computer Science and Technologies
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TeQ Research – Research Tutorial for Computer Science and Technologies
  • Home Page
  • Computer Networks
    • Ad Hoc Networks
    • Network Security
    • Internet of Things (IoT)
    • Sensor Networks
  • Data Science and AI
    • Data Mining
    • Machine Learning
    • Deep Learning
    • Natural Language Processing
    • Big Data Analytics
    • Image Processing
  • Computing Technologies
    • Cloud Computing
    • Evolutionary Computing
    • Mobile Computing
    • Quantum Computing
    • Edge and Fog Computing
  • Software and Systems
    • Database Management Systems
    • Operating Systems
    • Software Engineering
    • Cybersecurity
    • Blockchain
  • Scholar Resources
    • Research Algorithms
    • Research Implementations
    • Research Grants Infos
    • Research Journals Infos

Posts by tag

unsupervised learning

5 posts
Apriori Algorithm
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  • Data Mining
  • Data Science and AI
  • Machine Learning
  • Research Algorithms

Apriori Algorithm in Data Mining: Working, Applications & Association Rule Learning

  • May 25, 2025
  • Arun Prakasam
What is Apriori Algorithm? Large transactional databases can be mined for frequent itemsets and association rules using the traditional Apriori approach. Finding patterns of items that commonly co-occur in transactions…
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Generative Adversarial Networks
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  • Data Science and AI
  • Deep Learning

Generative Adversarial Networks (GANs): Architecture, Working & Applications in AI

  • May 22, 2025
  • Arun Prakasam
What is Generative Adversarial Networks (GANs)? Ian Goodfellow invented Generative Adversarial Networks (GANs) in 2014 as a kind of machine learning technique for generative modeling. Their main purpose is to…
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Autoencoder
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  • Data Science and AI
  • Deep Learning
  • Research Algorithms

Autoencoders (AE) in Deep Learning: Architecture, Types & Real-World Applications

  • May 19, 2025
  • Arun Prakasam
What is Autoencoders (AE) Algorithm?  An Artificial Neural Network type called an Autoencoder (AE) is used for unsupervised learning. Its objective is to learn effective data representations, usually for feature…
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Frequent Pattern Growth
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  • Data Mining
  • Data Science and AI
  • Research Algorithms

FP-Growth Algorithm in Data Mining: Fast Frequent Pattern Mining Explained

  • May 17, 2025
  • Arun Prakasam
What is FP-Growth (Frequent Pattern Growth)? An effective and scalable technique for mining frequent itemsets in big transactional databases is the FP-Growth (Frequent Pattern Growth) algorithm. By employing a tree-based…
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Deep Belief Networks
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  • Data Science and AI
  • Deep Learning
  • Research Algorithms

Deep Belief Networks (DBN): Architecture, Training Process & Applications in Deep Learning

  • May 17, 2025
  • Arun Prakasam
What is Deep Belief Networks (DBN) Algorithm? One kind of deep learning model is called a Deep Belief Network (DBN), which is composed of several layers of unsupervised learning models…
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