Periodic pattern mining : theory, algorithms, and applications

Periodic pattern mining : theory, algorithms, and applications / R. Uday Kiran, Philippe Fournier-Viger, Jose M. Luna, Jerry Chun-Wei Lin, Anirban Mondal, editors.

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...

Full description

Saved in:
Bibliographic Details
Other Authors: Kiran, R. Uday (Editor), Fournier-Viger, Philippe (Editor), Luna, Jose M. (Editor), Lin, Jerry Chun-Wei (Editor), Mondal, Anirban (Editor)
Format: eBook
Language:English
Published: Singapore : Springer, [2021]
Subjects:
Sequential pattern mining.
Sequential pattern mining
Online Access:Click for online access
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.

Similar Items