@inproceedings{b86ea9e6018347188fd5ebcc84712eda,
title = "DynaCet: Building dynamic faceted search systems over databases",
abstract = "Extracting information and insights from large databases is a time-consuming activity and has received considerable research attention recently. In this demo, we present DynaCet - a domain independent system that provides effective minimum-effort based dynamic faceted search solutions over enterprise databases. At every step, Dynacet suggests facets depending on the user response in the previous step. Facets are selected based on their ability to rapidly drill down to the most promising tuples, as well as on the ability of the user to provide desired values for them. The benefits provided include faster access to information stored in databases while taking into consideration the variance in user knowledge and preferences.",
author = "Roy, {Senjuti Basu} and Haidong Wang and Ullas Nambiar and Gautam Das and Mukesh Mohania",
year = "2009",
doi = "10.1109/ICDE.2009.117",
language = "English (US)",
isbn = "9780769535456",
series = "Proceedings - International Conference on Data Engineering",
pages = "1463--1466",
booktitle = "Proceedings - 25th IEEE International Conference on Data Engineering, ICDE 2009",
note = "25th IEEE International Conference on Data Engineering, ICDE 2009 ; Conference date: 29-03-2009 Through 02-04-2009",
}