An inductive database prototype based on virtual mining views

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. Categories and Subject Descriptors: H.2.4 [Database Management]: System. General Terms: Algorithms, Experimentation.

• Type: Conference
• Year: 2008
• Where: KDD
• Authors: Élisa Fromont, Adriana Prado, Bart Goethals, Céline Robardet, Hendrik Blockeel, Toon Calders
• Keywords: Data Mining, Data Mining Algorithms, Data Mining Scenario, KDD 2008, Virtual Mining Views