A Survey about Spatial Association Rule Mining

سال انتشار: 1392
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 1,471

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شناسه ملی سند علمی:

BPJ01_353

تاریخ نمایه سازی: 29 دی 1392

چکیده مقاله:

Spatial data mining refers to the knowledge discovery from large amounts of spatial data. Due to the large volume of spatial data from different applications or remote geographic information systems are collected, this issue has been considered. Extensive use of geographic information systems (GIS) for various reasons, remote sensing applications, computer mapping, cause this type of data is increasing. Spatial data mining is one of the methods to find a way to discover new knowledge from a set of spatial data. Spatial Association rules is one of data mining techniques. Association rule mining is the process in the form of a set of rules from transactional databases to satisfy the minimum support and confidence. There are many algorithms for discovering association rules in this area have been developed. This paper presents the basic concepts about the discovery rules and the association rule mining techniques are being investigated, the algorithms are introduced and their methods will be evaluated.

کلیدواژه ها:

Frequent patterns ، spatial data ، discovering association rules ، knowledge discovery in databases

نویسندگان

Ashraf Ahmadi Esfahani

MSc student Dept. of Computer Engineering, Islamic Azad University, Najafabad Branch

Mohammad Naderi Dehkordi

Asst. Prof., Dept. of Computer Engineering, Islamic Azad University, Najafabad Branch

Mohammad Hossein Nadimi

Asst. Prof., Dept. of Computer Engineering, Islamic Azad University, Najafabad Branch

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