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Hands-on Pattern Mining: Theory and Examples with Pami, Sklearn, Keras, and Tensorflow

by Uday Kiran Rage
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Current price ₹4,407.00
Original price ₹6,779.00
Original price ₹6,779.00
Original price ₹6,779.00
(-35%)
₹4,407.00
Current price ₹4,407.00

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Book cover type: Hardcover
  • ISBN13: 9789819667901
  • Binding: Hardcover
  • Subject: N/A
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Publication Date:
  • Pages: 199
  • Original Price: EUR 59.99
  • Language: English
  • Edition: N/A
  • Item Weight: 383 grams
  • BISAC Subject(s): Artificial Intelligence / General

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.

Rage Uday Kiran is an associate professor in the Division of Information Systems at The University of Aizu, Japan.

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