Linguistic Summary-Based Query Answering on Data Cubes with Time Dimension

Authors:
Rita Castillo-Ortega;Nicolás Marín;Daniel Sánchez
Affiliations:
Intelligent Databases and Information Systems Research Group, Deparment of Computer Science and A.I., University of Granada, Granada, Spain 18071;Intelligent Databases and Information Systems Research Group, Deparment of Computer Science and A.I., University of Granada, Granada, Spain 18071;Intelligent Databases and Information Systems Research Group, Deparment of Computer Science and A.I., University of Granada, Granada, Spain 18071
Venue:
FQAS '09 Proceedings of the 8th International Conference on Flexible Query Answering Systems
Year:
2009

Citing 8
Cited 3

SAINTETIQ: a fuzzy set-based approach to database summarization

Fuzzy Sets and Systems - Data bases and approximate reasoning
Editorial: Perception based data mining and decision support systems

International Journal of Approximate Reasoning
Perception-based approach to time series data mining

Applied Soft Computing
Linguistic summarization of time series using a fuzzy quantifier driven aggregation

Fuzzy Sets and Systems
Management Information Systems

Management Information Systems
Linguistic database summaries and their protoforms: towards natural language based knowledge discovery tools

Information Sciences: an International Journal
Fuzzy quantification-based linguistic summaries in data cubes with hierarchical fuzzy partition of time dimension

IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
Toward a language for specifying summarizing statistics

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Time series comparison using linguistic fuzzy techniques

IPMU'10 Proceedings of the Computational intelligence for knowledge-based systems design, and 13th international conference on Information processing and management of uncertainty
A multi-objective memetic algorithm for the linguistic summarization of time series

Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
Towards linguistic descriptions of phenomena

International Journal of Approximate Reasoning

Quantified Score

Hi-index	0.00

Visualization

Abstract

Data cubes and OLAP (OnLine Analytical Processing) allow friendly ad-hoc data analysis in the process of decision making. Among the dimensions that describe the data cube structure, we usually find a time dimension. If we query the data cube by means of OLAP operations on the time dimension we obtain time series data related to events and features which are interesting for the user. These query results can be summarized so that an appropriate short linguistic description of the series is provided to the user. In this paper, we present some approaches to accomplish linguistic summarization of data in data cubes containing historical information using fuzzy quantified statements.