Given a large collection of objects, finding all pairs of similar objects, namely similarity join, is widely used to solve various problems in many application domains.Computation ...
Dongjoo Lee, Jaehui Park, Junho Shim, Sang-goo Lee
Identification of all objects in a dataset whose similarity is not less than a specified threshold is of major importance for management, search, and analysis of data. Set similari...
The similarity join has become an important database primitive to support similarity search and data mining. A similarity join combines two sets of complex objects such that the r...
Abstract. The similarity join has become an important database primitive to support similarity search and data mining. A similarity join combines two sets of complex objects such t...
An important database primitive for commonly used feature databases is the similarity join. It combines two datasets based on some similarity predicate into one set such that the n...
Hans-Peter Kriegel, Peter Kunath, Martin Pfeifle, ...
— Similarity joins have attracted significant interest, with applications in Geographical Information Systems, astronomy, marketing analyzes, and anomaly detection. However, all...
Brent Bryan, Frederick Eberhardt, Christos Falouts...
The similarity join is an important database primitive which has been successfully applied to speed up applications such as similarity search, data analysis and data mining. The s...
Many emerging data mining applications require a similarity join between points in a high-dimensional domain. We present a new algorithm that utilizes a new index structure, calle...
Abstract-- Similarity join is a useful primitive operation underlying many applications, such as near duplicate Web page detection, data integration, and pattern recognition. Tradi...
Chuan Xiao, Wei Wang 0011, Xuemin Lin, Haichuan Sh...