Overview

INDIANA is a system conceived to support a novel paradigm of database exploration. INDIANA guides users that are interested in gaining insights about a database by involving them in a conversation. During the conversation, the system proposes some features of the data that are interesting from the statistical viewpoint. The user selects some of these as starting points, and INDIANA reacts by suggesting new features related to the ones selected by the user. A key requirement in this context is the ability to explore transactional databases, without the need to conduct complex pre-processing.

Publications

3 results

2015
[SEBD2015] Exploratory Computing: What is there for the Database Researcher? (, , , , , ), In In proceedings of the 23st Italian Symposium on Database Systems (Sistemi Evoluti per Basi di Dati), volume , . [bibtex] [pdf]
2015
[SIGMOD_Record2015] Database Challenges for Exploratory Computing (, , , , , ), In SIGMOD Rec., ACM, volume 44, . [bibtex] [pdf] [doi]
2017
[TR-01-2017] INDIANA the Database Explorer (, , , , , ), Technical report, Università della Basilicata, Politecnico di Milano, . [bibtex] [pdf]

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