Authors : A. Sasi Kumar and P. Anandhakumar
Abstract: Due to the large number of spatial relations in databases, much research focuses on developing algorithms to efficiently extract the spatial query processing. In this study, the problem is defined for top-k spatial keyword search which retrieves the top-k spatial objects that are most relevant to query in terms of joint spatial and textual relevance. The proposed work aims to provide the solution by introducing a complete geospatial knowledge discovery framework for the detection of spatial patterns with pruning. These spatial patterns will not contain any query keywords. A novel approach and indexing structure is proposed for the joint processing of top-k spatial keyword queries using cluster based association rule mining. If the load is heavy, then the joint processing keyword query is used to improve the robustness of the proposed work.
A. Sasi Kumar and P. Anandhakumar, 2014. Efficient Cluster Based Processing of Joint Top-K Spatial Keyword Queries. Asian Journal of Information Technology, 13: 678-683.