A Survey about Spatial Association Rule Mining
Publish place: First National Conference on Advances in computer science and information retrieval approaches
Publish Year: 1392
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
BPJ01_353
تاریخ نمایه سازی: 29 دی 1392
Abstract:
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.
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Authors
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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