Affiliations: Institute of Mathematics, The University of Warsaw, Warsaw, Poland. [email protected] | Systems Research Institute, Polish Academy of Sciences and Dituel Sp. z o.o., Warsaw, Poland. [email protected] | Section of Computer Science, The Main School of Fire Service, Warsaw, Poland. [email protected], [email protected]
Note: [] This work was supported by the Polish National Science Centre grants 2011/01/B/ST6/03867 and 2012/05/B/ST6/03215 as well as by the Polish National Centre for Research and Development (NCBiR) under SYNAT - Grant No. SP/I/1/77065/10 in frame of the strategic scientific research and experimental development program: “Interdisciplinary System for Interactive Scientific and Scientific-Technical Information”. Address for correspondence: Institute of Mathematics, The University of Warsaw, Banacha 2, 02-097 Warsaw, Poland
Abstract: We present a set of guidelines for improving quality and efficiency in initial steps of the KDD process by utilizing various kinds of domain knowledge. We discuss how such knowledge may be used to the advantage of system developer and what kinds of improvements can be achieved. We focus on systems that incorporate creation and processing of compound data objects within the RDBMS framework. These basic considerations are illustrated with several examples of implemented database solutions.
Keywords: Domain knowledge, KDD process, database sharding, hierarchical systems, compound data objects, data cleansing
