Title :
Interactive Query Recommendation Assistant
Author :
Khemiri, Rym ; Bentayeb, Fadila
Author_Institution :
ERIC Lab., Univ. of Lyon, Bron, France
Abstract :
When searching information, a first and crucial step is queries formulations. However it is a hard task for decision makers notably in related data warehousing fields, where queries are very heterogeneous and cannot be interpreted easily. This paper presents a new approach to assist users to formulate their queries by exploiting their past querying experiences. Thus, a user can incrementally construct each of his/her queries by visualizing and taking lessons from how other users have carried out their querying tasks. The visualization and the assistance given to the user is based on frequent itemsets extracted from past queries connected to his/her current query in construction.
Keywords :
data mining; data visualisation; data warehouses; interactive systems; query processing; recommender systems; data visualization; data warehousing; decision making; frequent itemset extraction; heterogeneous query formulations; information search; interactive query recommendation assistant; Context; Data mining; Data warehouses; Engines; Itemsets; Marketing and sales; Apriori; Data warehouse; Decision Queries; Frequent Itemsets Mining; Interactive Recommendation;
Conference_Titel :
Database and Expert Systems Applications (DEXA), 2012 23rd International Workshop on
Conference_Location :
Vienna
Print_ISBN :
978-1-4673-2621-6
DOI :
10.1109/DEXA.2012.12
