Hands-on Pattern Mining: Theory and Examples with PAMI, Sklearn, Keras, and TensorFlow
English | 2025 | ISBN: 9819667909 | 199 Pages | PDF EPUB (True) | 32 MB
English | 2025 | ISBN: 9819667909 | 199 Pages | PDF EPUB (True) | 32 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.