Hands On Pattern Mining Theory And Examples With PAMI Sklearn Keras And TensorFlow

[FaridKhan]

English | August 11, 2025 | ISBN-10: 9819667909 | 199 pages| Epub PDF (True) | 34 MB

This book introduces pattern mining by presenting various pattern mining techniques and giving hands-on experience with each technique. Pattern mining is a popular data mining technique with many real-world applications, and involves discovering all user interest-based patterns that may exist in a database. Several models and numerous algorithms were described in the literature to find these patterns in binary databases, quantitative databases, uncertain databases, and streams. Since the lack of a Python toolkit containing these algorithms has limited the wide adaptability of pattern-mining techniques, the author developed Pattern Mining (PAMI) Python library, which currently contains 80+ algorithms to discover useful patterns in transactional databases, temporal databases, quantitative databases, and graphs.
The book consists of three main parts
· Introduction: The first chapter introduces big data, types of learning techniques, and the importance of pattern mining. The second chapter introduces the PAMI library, its organizational structure, installation, and usage.
· Pattern mining algorithms and examples: The following chapters present the state-of-the-art techniques for discovering user interest-based patterns in (1) transactional databases, (2) temporal databases, (3) quantitative databases, (4) uncertain databases, (5) sequential databases, and (6) graphs.
· Applications: The book concludes with several applications, where the predicted knowledge using TensorFlow and PyTorch was transformed into a database to discover future trends or patterns.

Contents of Download:
978-981-96-6791-8.epub (Uday Kiran Rage) (2025) (17.3 MB)
978-981-96-6791-8.pdf (17.06 MB)

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️ Hands On Pattern Mining Theory And Examples With PAMI Sklearn Keras And TensorFlow (34.36 MB)

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