2008 AnInductiveDatabasePrototypebas

• (Blockeel et al., 2008) ⇒ Hendrik Blockeel, Toon Calders, Elisa Fromont, Bart Goethals, Adriana Prado, and Céline Robardet. (2008). “An Inductive Database Prototype based on Virtual Mining Views.” In: Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2008). doi:10.1145/1401890.1402019

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• http://scholar.google.com/scholar?q=%22An+inductive+database+prototype+based+on+virtual+mining+views%22+2008
• http://portal.acm.org/citation.cfm?doid=1401890.1402019&preflayout=flat#citedby

Quotes

Abstract

We present a prototype of an inductive database. Our system enables the user to query not only the data stored in the database but also generalizations (e.g. rules or trees) over these data through the use of virtual mining views. The mining views are relational tables that virtually contain the complete output of data mining algorithms executed over a given dataset. The prototype implemented into PostgreSQL currently integrates frequent itemset, association rule and decision tree mining. We illustrate the interactive and iterative capabilities of our system with a description of a complete data mining scenario.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2008 AnInductiveDatabasePrototypebas	Bart Goethals Hendrik Blockeel Céline Robardet Toon Calders Elisa Fromont Adriana Prado			An Inductive Database Prototype based on Virtual Mining Views				10.1145/1401890.1402019