An inductive database and query language in the relational model

In the demonstration, we will present the concepts and an implementation of an inductive database ? as proposed by Imielinski and Mannila ? in the relational model. The goal is to support all steps of the knowledge discovery process, from pre-processing via data mining to post-processing, on the basis of queries to a database system. The query language SIQL (structured inductive query language), an SQL extension, offers query primitives for feature selection, discretization, pattern mining, clustering, instance-based learning and rule induction. A prototype system processing such queries was implemented as part of the SINDBAD (structured inductive database development) project. Key concepts of this system, among others, are the closure of operators and distances between objects. To support the analysis of multi-relational data, we incorporated multi-relational distance measures based on set distances and recursive descent. The inclusion of rule-based classification models made it nece...

• Type: Conference
• Year: 2008
• Where: EDBT
• Authors: Lothar Richter, Jörg Wicker, Kristina Kessler, Stefan Kramer
• Keywords: Database, EDBT 2008, Inductive Database Development, Inductive Query Language, Query Language Siql