Hands-on Pattern Mining

Theory and Examples with PAMI, Sklearn, Keras, and TensorFlow

Uday Kiran Rage (Autor)

Buch | Hardcover

182 Seiten

2025
Springer Nature Switzerland AG (Verlag)
978-981-96-6790-1 (ISBN)

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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.

Part I Fundamentals 1 Getting Started with PAMI: Introduction, Maintenance, and Usage.- 2 Handling Big Data: Classification, Storage, and Processing Techniques.- 3 Transactional Databases: Representation, Creation, and Statistics.- 4 Pattern Discovery in Transactional Databases.- 5 Temporal Databases: Representation, Creation, and Statistics.- 6 Pattern Discovery in Temporal Databases.- 7 Spatial Databases: Representation, Creation, and Statistics.- 8 Pattern Discovery in Spatial Databases.- 9 Utility Databases: Representation, Creation, and Statistics.- 10 Pattern Discovery in Utility Databases.- 11 Sequence Databases: Representation, Creation, and Statistics.- 12 Pattern Discovery in Sequence Databases.- Part II Advanced Concepts 13 Mining Symbolic Sequences.- 14 Pattern Discovery in Fuzzy Databases.- 15 Knowledge Discovery in Uncertain Databases.- 16 Finding Useful Patterns in Graph Databases.- Part III Applications 17 Discovering Air Pollution Patterns through the KDD Process.- 18 Discovering Futuristic Pollution Patterns Using Forecasting and Pattern Mining.

Erscheinungsdatum	15.06.2025
Zusatzinfo	12 Illustrations, color; 16 Illustrations, black and white
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Informatik ► Datenbanken ► Data Warehouse / Data Mining
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Schlagworte	Big Data Analytics • Data Mining • frequent patterns • pattern mining • periodic patterns • Time Series
ISBN-10	981-96-6790-9 / 9819667909
ISBN-13	978-981-96-6790-1 / 9789819667901
Zustand	Neuware