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Periodic Pattern Mining Theory, Algorithms, and Applications

This book provides an introduction to the field of periodic pattern mining, reviews state-of-the-art techniques, discusses recent advances, and reviews open-source software. Periodic pattern mining is a popular and emerging research area in the field of data mining. It involves discovering all regul...

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Bibliographic Details
Other Authors: Kiran, R. Uday (Editor), Fournier-Viger, Philippe (Editor), Luna, Jose M. (Editor), Lin, Jerry Chun-Wei (Editor)
Format: eBook
Language:English
Published: Singapore Springer Nature Singapore 2021, 2021
Edition:1st ed. 2021
Subjects:
Machine Learning
Artificial Intelligence
Data Mining
Data Mining And Knowledge Discovery
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Chapter 1: Introduction to Data Mining
  • Chapter 2: Discovering Frequent Patterns in Very Large Transactional Database
  • Chapter 3: Discovering Periodic Frequent Patterns in Temporal Databases
  • Chapter 4: Discovering Fuzzy Periodic Frequent Patterns in Quantitative Temporal Databases
  • Chapter 5: Discovering Partial Periodic Patterns in Temporal Databases
  • Chapter 6: Finding Periodic Patterns in Multiple Sequences
  • Chapter 7: Discovering Self Reliant Patterns
  • Chapter 8: Finding Periodic High Utility Patterns in Sequence
  • Chapter 9: Mining Periodic High Utility Sequential Patterns with Negative Unit Profits
  • Chapter 10: Hiding Periodic High Utility Sequential Patterns
  • Chapter 11: NetHAPP
  • Chapter 12: Privacy Preservation of Periodic Frequent Patterns using Sensitive Inverse Frequency

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