P²MS: a phase-wise pattern management system for pattern warehouse

Vivek Tiwari and Ramjeevan Singh Thakur

International Journal of Data Mining, Modelling and Management, 2015, vol. 7, issue 4, 331-350

Abstract: Pattern represents the huge quantity of heterogeneous data in compact and rich semantics way. Overall, it seems that designing and building pattern-warehouse will probably be an important issue for future applications. Due to their characteristics, specific systems are required for pattern handling. So far, little emphasis has been posed on developing an overall integrated environment for uniformly representing (create, store and update) and querying different kinds of patterns and gives conceptual design of pattern warehouse. Proposed method creates, stores and updates patterns simultaneously. This allows the user to: 1) use standard pattern types or define new ones; 2) generate patterns and represented according to existing standards; 3) allow using new standards and mapping. We introduced new definition of some existing set operators. Object-oriented-based conceptual modelling is used in this research work. The presented work tried to accommodate all kinds of patterns to make this work more general but for simplicity, emphasis has been given on association rules patterns.

Keywords: pattern base; pattern warehouses; pattern management systems; PWMS; data models; knowledge warehousing; conceptual design; object-oriented modelling. (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=73860 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijdmmm:v:7:y:2015:i:4:p:331-350

Access Statistics for this article

More articles in International Journal of Data Mining, Modelling and Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().