A Survey on Spatial Association Rule Mining Technique and Algorithms for mining spatial data

نویسندگان

  • Banalata Sarangi
  • Laxman Sahoo
چکیده

spatial association rule mining is an important technique of spatial data mining. Mining spatial association rule is one of the most important branches in the field of spatial data, spatial data mining can extract the spatial patterns and characteristics, general relations of spatial and non spatial data and other data features in common that hidden in spatial database. This paper describes and explains various spatial association rule mining algorithms and methods. Here we try to give a detailed survey of the existing spatial association rule mining technique based on Buffer analysis, Maximum frequent item sets based on Boolean matrix, concept lattice.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Exploring the Relationships between Spatial and Demographic Parameters and Urban Water Consumption in Esfahan Using Association Rule Mining

In recent years, Iran has faced serious water scarcity and excessive use of water resources. Therefore, exploring the pattern of urban water consumption and the relationships between geographic and demographic parameters and water usage is an important requirement for effective management of water resources. In this study, association rule mining has been used to analyze the data of municipal w...

متن کامل

Introducing an algorithm for use to hide sensitive association rules through perturb technique

Due to the rapid growth of data mining technology, obtaining private data on users through this technology becomes easier. Association Rules Mining is one of the data mining techniques to extract useful patterns in the form of association rules. One of the main problems in applying this technique on databases is the disclosure of sensitive data by endangering security and privacy. Hiding the as...

متن کامل

Strategies of an Efficient Algorithm PARM to Generate Association Rules Mining Technique Based on Spatial Data

In the Association rule mining, originally proposed form market basket data, has potential applications in many areas. Spatial data, such as remote sensed imagery (RSI) data, is one of the promising application areas. Association Rule mining is one of the most popular data mining techniques which can be defined as extracting the interesting correlation and relation among large volume of transac...

متن کامل

Optimization of Spatial Association Rule Mining using Hybrid Evolutionary algorithm

Spatial data refer to any data about objects that occupy real physical space. Attributes within spatial databases usually include spatial information. Spatial data refers to the numerical or categorical values of a function at different spatial locations. Spatial metadata refers to the descriptions of the spatial configuration. Application of classical association rule mining concepts to spatia...

متن کامل

Mining Spatial Gene Expression Data Using Negative Association Rules

Over the years, data mining has attracted most of the attention from the research community. The researchers attempt to develop faster, more scalable algorithms to navigate over the ever increasing volumes of spatial gene expression data in search of meaningful patterns. Association rules are a data mining technique that tries to identify intrinsic patterns in spatial gene expression data. It h...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2013