IDENTIFICATION OF AIR POLLUTION PATTERNS USING A MODIFIED FUZZY CO-OCCURRENCE PATTERN MINING METHOD

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

AKBARI M.; SAMADZADEGAN F.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY (IJEST) Year:2015 | Volume:12 | Issue:11 Page(s): 0-0

Download Full-Text

View:

266

Download:

Cites:

Information Journal Paper

Title

IDENTIFICATION OF AIR POLLUTION PATTERNS USING A MODIFIED FUZZY CO-OCCURRENCE PATTERN MINING METHOD

Author(s)

AKBARI M. | SAMADZADEGAN F. | Issue Writer Certificate

Keywords

AIR POLLUTION

DATA MINING

CO-OCCURRENCE PATTERN MINING

FUZZY

TEHRAN

Abstract

Spatio-temporal co-occurrence patterns represent subsets of object types which are located together in both space and time. Discovering spatio-temporal co-occurrence patterns is an important task having many application domains. There are a number of developed methods to mine co-occurrence patterns; however, using them needs a unique parameter to define the neighborhood. Identification of a unique optimum k-value or neighborhood radius is a challenging issue in different application domains. The developed method of this research defines a new FUZZY neighborhood and new FUZZY metrics to be applicable for real applications such as AIR POLLUTION, especially when the researchers have no comprehensive knowledge regarding the application domain; in addition, it mines patterns based on the FUZZY nature of environmental phenomena. The new method mines patterns locally without localization step to speed up the mining process and considers all feature types (point, line and polygon) to handle all applications. Subsequently, it is applied to a real data set of TEHRAN city for AIR POLLUTION to discover significant co-occurrence patterns of AIR POLLUTION and influencing environmental parameters such as meteorological, topography and traffic. The case study results showed seven meaningful patterns among AIR POLLUTION classes 2 and 3 and wind speed class 1, topography class 1 and traffic classes 1 and 2. The evaluation confirmed the accuracy and applicability of the new developed method for AIR POLLUTION case. Furthermore, two performance tests for the method itself and a performance test against a crisp method were done, where the results exhibited an efficient computational performance.

Cites

No record.

References

No record.

Cite

APA: Copy

AKBARI, M., & SAMADZADEGAN, F.. (2015). IDENTIFICATION OF AIR POLLUTION PATTERNS USING A MODIFIED FUZZY CO-OCCURRENCE PATTERN MINING METHOD. INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY (IJEST), 12(11), 0-0. SID. https://sid.ir/paper/286189/en

Vancouver: Copy

AKBARI M., SAMADZADEGAN F.. IDENTIFICATION OF AIR POLLUTION PATTERNS USING A MODIFIED FUZZY CO-OCCURRENCE PATTERN MINING METHOD. INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY (IJEST)[Internet]. 2015;12(11):0-0. Available from: https://sid.ir/paper/286189/en

IEEE: Copy

M. AKBARI, and F. SAMADZADEGAN, “IDENTIFICATION OF AIR POLLUTION PATTERNS USING A MODIFIED FUZZY CO-OCCURRENCE PATTERN MINING METHOD,” INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY (IJEST), vol. 12, no. 11, pp. 0–0, 2015, [Online]. Available: https://sid.ir/paper/286189/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops