An inductive database prototype based on virtual mining views

Hendrik Blockeel (1) , Toon Calders (2) , Elisa Fromont (1) , Bart Goethals (3) , Adriana Prado (3) , Céline Robardet (4)

1 DTAI - Declarative Languages and Artificial Intelligence
2 Information Systems group
3 Adrem - Advanced Database Research and Modelling
4 DM2L - Data Mining and Machine Learning

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.

Mots clés: Data Mining; Inductive Databases

Domaines: Base de données [cs.DB]

Hendrik Blockeel, Toon Calders, Elisa Fromont, Bart Goethals, Adriana Prado, et al.. An inductive database prototype based on virtual mining views. SIGKDD international conference on Knowledge discovery and data mining, Aug 2008, Las Vegas, United States. pp.1061-1064, ⟨10.1145/1401890.1402019⟩. ⟨hal-00372017⟩