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Contextual snowflake modelling for pattern warehouse logical design

Abstract

Pattern warehouse provides the infrastructure for knowledge representation and mining by allowing the patterns to be stored permanently. The goal of this paper is to discuss the pattern warehouse design and related quality issues. In the present work, we focus on conceptual and logical design of pattern warehouse, by introducing a context and ‘kind of knowledge’ hierarchy to this end. For the simplicity, association kinds of patterns are considered for running examples. We have extended well-known ‘snowflake’ schema for pattern warehouse logical design. We have introduced a new concept hierarchy ‘kind of knowledge’ which helps to arrange patterns, the four quality forms (QF) are also discussed which will work as guidelines for pattern warehouse conceptual and logical design to minimize the evaluation and maintenance cost. In particular, we address the three main issues: (i) conceptual design, (ii) snowflake schema and (iii) pattern refreshment.

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Correspondence to VIVEK TIWARI.

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TIWARI, V., THAKUR, R.S. Contextual snowflake modelling for pattern warehouse logical design. Sadhana 40, 15–33 (2015). https://doi.org/10.1007/s12046-014-0304-z

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Keywords

  • Pattern warehouse
  • pattern warehouse management systems (PWMS)
  • data models
  • knowledge warehousing
  • conceptual modelling
  • context modelling
  • quality forms