Rage

A9789819667901 — Hardback. New. <p>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.</p> <p>The book consists of three main parts:</p> <p>· 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.</p> <p>· 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.</p> <p>· 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.</p> hardcover