Amanote Research

Amanote Research

    RegisterSign In

Spatio-Temporal Data Mining for Air Pollution Problems

doi 10.4018/978-1-60566-010-3.ch277
Full Text
Open PDF
Abstract

Available in full text

Date

Unknown

Authors
Seoung Bum KimChivalai TemiyasathitSun-Kyoung ParkVictoria C.P. Chen
Publisher

IGI Global


Related search

Hair Data Model: A New Data Model for Spatio-Temporal Data Mining

2012English

Spatio-Temporal Pattern Mining on Trajectory Data Using Arm

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
2017English

Online Scalable SVM Ensemble Learning Method (OSSELM) for Spatio-Temporal Air Pollution Analysis

International Journal of Data Mining & Knowledge Management Process
2017English

Cross-Correlation Measure for Mining Spatio-Temporal Patterns

Journal of Database Management
HardwareInformation SystemsArchitectureSoftware
2013English

Mining Frequent Spatio-Temporal Sequential Patterns

English

Pattern Mining of Road Traffic in Developing Countries Using Spatio-Temporal Data

IJARCCE
2016English

An Integrated Framework for Spatio-Temporal-Textual Search and Mining

2012English

Indexing Spatio-Temporal Data Warehouses

English

Standards-Based Services for Big Spatio-Temporal Data

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
2016English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy