Hands-on Pattern Mining: Theory and Examples by Uday Kiran Rage(.PDF)+

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File Size: 34.4 MB

Hands-on Pattern Mining: Theory and Examples with PAMI, Sklearn, Keras, and TensorFlow by Uday Kiran Rage
Requirements: .ePUB, .PDF reader, 34.4 MB
Overview: 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.
Genre: Non-Fiction > Tech & Devices

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