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Dataconda -- A Software Framework for Mining Relational Databases

Authors:
Michele Samorani

Keywords: Relational Data Mining; Data Preparation; Propositionalization; Classification; Regression

Abstract:
Dataconda is a software program, freely available to academics on www.dataconda.net, which solves classification and regression problems in a relational database, as opposed to a single table. The user selects a class attribute contained in a table of a relational database, and the software builds and selects predictors by exploring the whole database and aggregating information, without any user intervention. For example, Dataconda may find that the best predictor for "customer value" is the amount of money spent by the customer in cheap electronics, even if the user has not built any such attribute. This demo will introduce a brief theoretical background, illustrate how to use Dataconda in sample databases, and show how to easily extend it.

Pages: 132 to 133

Copyright: Copyright (c) IARIA, 2015

Publication date: May 24, 2015

Published in: conference

ISSN: 2308-4332

ISBN: 978-1-61208-408-4

Location: Rome, Italy

Dates: from May 24, 2015 to May 29, 2015