IQL: a proposal for an inductive query language

作者: Siegfried Nijssen , Luc De Raedt

DOI: 10.1007/978-3-540-75549-4_12

关键词: RDF query languageDeclarative programmingQuery languageProgramming languageKnowledge extractionTuple relational calculusData control languageSpecification languageComputer scienceData manipulation language

摘要: The overall goal of this paper is to devise a flexible and declarative query language for specifying or describing particular knowledge discovery scenarios. We introduce one such language, called IQL. IQL intended as general, descriptive, declarative, extendable implementable inductive querying that supports the mining both local global patterns, reasoning about queries processing using logic, well incorporation new primitives solvers. an extension tuple relational calculus includes functions primitives. integrates ideas from several other programming languages, pattern matching function typing. hope it will be useful specification integrating data systems principles.

参考文章(20)
Tomasz Imieliński, Aashu Virmani, MSQL: A Query Language for Database Mining Data Mining and Knowledge Discovery. ,vol. 3, pp. 373- 408 ,(1999) , 10.1023/A:1009816913055
Jamie MacLennan, None, Data Mining with SQL Server 2005 ,(2005)
Rosa Meo, Giuseppe Psaila, Stefano Ceri, An Extension to SQL for Mining Association Rules Data Mining and Knowledge Discovery. ,vol. 2, pp. 195- 224 ,(1998) , 10.1023/A:1009774406717
Jiawei Han, Yongjian Fu, Krzysztof Koperski, Osmar Zaiane, Wei Wang, DMQL: A Data Mining Query Language for Relational Databases ,(2007)
Raymond T. Ng, Theodore Johnson, Laks V. S. Lakshmanan, The 3W Model and Algebra for Unified Data Mining very large data bases. pp. 21- 32 ,(2000)
Daniele Braga, Alessandro Campi, Mika Klemettinen, PierLuca Lanzi, Mining Association Rules from XML Data data warehousing and knowledge discovery. pp. 21- 30 ,(2002) , 10.1007/3-540-46145-0_3
C. J. Date, An introduction to database systems (7th ed.) An introduction to database systems (7th ed.). pp. 938- 938 ,(1999)
Tomasz Imielinski, Heikki Mannila, A database perspective on knowledge discovery Communications of the ACM. ,vol. 39, pp. 58- 64 ,(1996) , 10.1145/240455.240472
Luc De Raedt, A perspective on inductive databases knowledge discovery and data mining. ,vol. 4, pp. 69- 77 ,(2002) , 10.1145/772862.772871