A Survey of Techniques for Answering Top-K  Queries

A Survey of Techniques for Answering Top-K Queries

Dr. Neethu C V

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Rejimol Robinson R R

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APJ Abdul Kalam Technological University

A Survey of Techniques for Answering Top-K Queries

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Abstract

Top-k queries are useful in retrieving top-k records from a given set of records depending on the value of a function F on their attributes. Many techniques have been proposed in database literature for answering top-k queries. These are mainly categorized into three: Sorted-list based, layer based and View based. In first category, records are sorted along each dimension and then assigned a rank to each of the records using parallel scanning method. Threshold Algorithm (TA) and Fagin’s Algorithm (FA) are the examples of sorted-list based category. Second category is layer based category, in which all the records are organized into layers such as in onion technique and robust indexing technique. Third category includes methods such as PREFER and LPTA (Linear Programming Adaptation of Threshold Algorithm) and processing is based on the materialized views.

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25 Cites in Article

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. Neethu C V. 2013. \u201cA Survey of Techniques for Answering Top-K Queries\u201d. Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 13 (GJCST Volume 13 Issue C2).

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GJCST Volume 13 Issue C2

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

convex hull linearly optimally ordered set monotone functions prefer

Submission ReceivedDecember 11, 2012
Peer Review Double Blind
Handling Editor
Accepted December 31, 2012
Published January 15, 2013

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v1.2

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February 28, 2013

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Article Matrices

Total Score: 107

Country: India

Subject: Global Journal of Computer Science and Technology - C: Software & Data Engineering

Authors: Dr. Neethu C V, Rejimol Robinson R R (PhD/Dr. count: 1)

View Count (all-time): 266

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Publish Date: 2013 02, Thu

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Total Views: 9753

Total Downloads: 2551

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