Hierarchical Clustering of Process Schemas
نویسندگان
چکیده
In this work, we focus on the analysis of process schemas in order to extract common substructures. In particular, we represent processes as graphs, and we apply a graph-based hierarchical clustering technique to group similar sub-processes together at different levels of abstraction. We discuss different representation choices of process schemas that lead to different outcomes.
منابع مشابه
Clustering of Process Schemas by Graph Mining Techniques (Extended Abstract)
In this work, we focus on the analysis of process schemas in order to extract common substructures. In particular, we represent processes as graphs, and we apply a graph-based hierarchical clustering technique to group similar sub-processes together at different levels of abstraction. We discuss different representation choices of process schemas that lead to different outcomes.
متن کاملIntegrating Correlation Clustering and Agglomerative Hierarchical Clustering for Holistic Schema Matching
Corresponding Author: Basel Alshaikhdeeb Faculty of Information Science and Technology, National University of Malaysia, Bangi, Malaysia Email: [email protected] Abstract: Holistic schema matching is the process of carrying off several number of schemas as an input and outputs the correspondences among them. Treating large number of schemas may consume longer time with poor quality. Therefor...
متن کاملClustering Structured Web Sources: A Schema-Based, Model-Differentiation Approach
The Web has been rapidly “deepened” with the prevalence of databases online. On this “deep Web,” numerous sources are structured, providing schema-rich data– Their schemas define the object domain and its query capabilities. This paper proposes clustering sources by their query schemas, which is critical for enabling both source selection and query mediation, by organizing sources of with simil...
متن کاملAssessment of the Performance of Clustering Algorithms in the Extraction of Similar Trajectories
In recent years, the tremendous and increasing growth of spatial trajectory data and the necessity of processing and extraction of useful information and meaningful patterns have led to the fact that many researchers have been attracted to the field of spatio-temporal trajectory clustering. The process and analysis of these trajectories have resulted in the extraction of useful information whic...
متن کاملHIERARCHICAL DATA CLUSTERING MODEL FOR ANALYZING PASSENGERS’ TRIP IN HIGHWAYS
One of the most important issues in urban planning is developing sustainable public transportation. The basic condition for this purpose is analyzing current condition especially based on data. Data mining is a set of new techniques that are beyond statistical data analyzing. Clustering techniques is a subset of it that one of it’s techniques used for analyzing passengers’ trip. The result of...
متن کامل