Temporal and spatio-temporal data mining - Info and Reading Options
By Wynne Hsu, Wynne Hsu, Mong Li Lee and Junmei Wang

"Temporal and spatio-temporal data mining" was published by Idea Group Pub. in 2008 - Hershey PA, it has 292 pages and the language of the book is English.
“Temporal and spatio-temporal data mining” Metadata:
- Title: ➤ Temporal and spatio-temporal data mining
- Authors: Wynne HsuWynne HsuMong Li LeeJunmei Wang
- Language: English
- Number of Pages: 292
- Publisher: Idea Group Pub.
- Publish Date: 2008
- Publish Location: Hershey PA
“Temporal and spatio-temporal data mining” Subjects and Themes:
- Subjects: ➤ Temporal databases - Data mining - Data capture & analysis - Computers - Computer Books: Database - Database Management - Database Mining - Information Storage & Retrieval - Computers & Internet - Databases
Edition Specifications:
- Pagination: p. cm.
Edition Identifiers:
- The Open Library ID: OL17556443M - OL12218232W
- Online Computer Library Center (OCLC) ID: 77572859
- Library of Congress Control Number (LCCN): 2006102335
- ISBN-13: 9781599043876 - 9781599043890
- All ISBNs: 9781599043876 - 9781599043890
AI-generated Review of “Temporal and spatio-temporal data mining”:
"Temporal and spatio-temporal data mining" Table Of Contents:
- 1- Time series mining : background and related work
- 2- Mining dense periodic patterns in time series databases
- 3- Mining sequence patterns in evolving databases
- 4- Mining progressive confident rules in sequence databases
- 5- Early works in spatio - temporal mining
- 6- Mining topological patterns in spatio-temporal databases
- 7- Mining flow patterns in spatio-temporal data
- 8- Mining generalized flow patterns
- 9- Mining spatio-temporal trees
- 10- Mining spatio-temporal graph patterns.
"Temporal and spatio-temporal data mining" Description:
The Open Library:
"This book presents probable solutions when discovering the spatial sequence patterns by incorporating the information into the sequence of patterns, and introduces new classes of spatial sequence patterns, called flow and generalized spatio-temporal patterns, addressing different scenarios in spatio-temporal data by modeling them as graphs, providing a comprehensive synopsis on two successful partition-based algorithms designed by the authors"--Provided by publisher.
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