Mining Inexact Spatial Patterns
نویسندگان
چکیده
This work proposes the methodology for automatically modeling and mining inexact spatial patterns. We first choose attributed relational graph (ARG) as the information representation of the data. The pattern is modelled as a compact parametric pattern ARG (PARG). We formulate the problem as a parameter estimation task and present the procedure for estimating the parameters of the PARG model given the data. Experimental results of the proposed approach are shown.
منابع مشابه
An Adaptive Sensor Mining Model for Pervasive Computing Applications
In the past decade, the fields of pervasive computing, sensor design and data mining have begun to converge. As a result, there is a wealth of sensor data that can be analyzed with the goals of identifying patterns and automating sequences. Mining sequences of sensor events brings unique challenges to the KDD community. The challenge is heightened when the underlying data source is dynamic and ...
متن کاملMining Of Spatial Co-location Pattern from Spatial Datasets
Spatial data mining, or knowledge discovery in spatial database, refers to the extraction of implicit knowledge, spatial relations, or other patterns not explicitly stored in spatial databases. Spatial data mining is the process of discovering interesting characteristics and patterns that may implicitly exist in spatial database. A huge amount of spatial data and newly emerging concept of Spati...
متن کاملTrends in Spatial Data Mining
Spatial data mining is the process of discovering interesting and previously unknown, but potentially useful patterns from large spatial datasets. Extracting interesting and useful patterns from spatial datasets is more difficult than extracting the corresponding patterns from traditional numeric and categorical data due to the complexity of spatial data types, spatial relationships, and spatia...
متن کاملA Recent Survey on Knowledge Discovery in Spatial Data Mining
Spatial data mining is the process of discovering, motivating and previously unknown, but potentially helpful patterns from large spatial datasets. Extracting interesting and useful patterns from spatial datasets is more tricky than extracting the parallel patterns from established numeric and definite data due to the complexity of spatial data types, spatial relationships, and spatial autocorr...
متن کاملExploring 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