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...
Other Authors: | , , , |
---|---|
Format: | eBook |
Language: | English |
Published: |
Singapore
Springer Nature Singapore
2021, 2021
|
Edition: | 1st ed. 2021 |
Subjects: | |
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