Aljuboori, Ali A.Alwan and Ibrahim, Hamidah and Udzir, Nur Izura and Sidi, Fatimah (2013) Estimating missing values of skylines in incomplete database. In: The Second International Conference on Digital Enterprise and Information Systems (DEIS 2013), 4th-6th March 2013, Kuala Lumpur.
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Abstract
Incompleteness of data is a common problem in many databases including web heterogeneous databases, multi-relational databases, spatial and temporal databases and data integration. The incompleteness of data introduces challenges in processing queries as providing accurate results that best meet the query conditions over incomplete database is not a trivial task. Several techniques have been proposed to process queries in incomplete database. Some of these techniques retrieve the query results based on the existing values rather than estimating the missing values. Such techniques are undesirable in many cases as the dimensions with missing values might be the important dimensions of the user’s query. Besides, the output is incomplete and might not satisfy the user preferences. In this paper we propose an approach that estimates missing values in skylines to guide users in selecting the most appropriate skylines from the several candidate skylines. The approach utilizes the concept of mining attribute correlations to generate an Approximate Functional Dependencies (AFDs) that captured the relationships between the dimensions. Besides, identifying the strength of probability correlations to estimate the values. Then, the skylines with estimated values are ranked. By doing so, we ensure that the retrieved skylines are in the order of their estimated precision.
Item Type: | Conference or Workshop Item (Plenary Papers) |
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Additional Information: | 7094/36673 |
Uncontrolled Keywords: | Skyline Queries, Preference Queries, Incomplete Database, Query Processing, Estimating Missing Values |
Subjects: | Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4450 Databases |
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology |
Depositing User: | DR. ALI A. ALWAN AL-JUBOORI |
Date Deposited: | 28 May 2014 15:45 |
Last Modified: | 03 Nov 2020 15:30 |
URI: | http://irep.iium.edu.my/id/eprint/36673 |
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