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Towards data mining benchmarking

Published 16 May 2000
Jian Pei, Runying Mao, Kan Hu, Hua Zhu
Citations4

TL;DR

This work has constructed an open test bed for performance study of a set of recently developed, popularly used methods for mining frequent patterns in transaction databases and mining sequential patterns in sequence databases, with different data characteristics.

Abstract

Performance benchmarking has played an important role in the research and development in relational DBMS, object-relational DBMS, data warehouse systems, etc. We believe that benchmarking data mining algorithms is a long overdue task, and it will play an important role in the research and development of data mining systems as well.

Keywords

Computer Science