A Survey of Techniques for Answering Top-K Queries

Dr. Neethu C V

A Survey of Techniques for Answering Top-K Queries

Dr. Neethu C V * §

Contact

ashniya

Contact

§ SCT College of Engineering

A Survey of Techniques for Answering Top-K Queries

Article Fingerprint

ReserarchID

CSTZ6N1Q

A Survey of Techniques for Answering Top-K Queries Banner

Key Research Insights

Synthesized scholarly intelligence & interactive research assistant

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.

References

25 Cites in Article

Reference Format

Ronald Fagin,Amnon Lotem,Moni Naor (2001). Optimal aggregation algorithms for middleware.
S Nepal,M Ramakrishna (1999). Query Processing Issues in Image (Multimedia) Databases.
U Guntzer,W Balke,W Kiebling (2000). Optimizing Multi-Feature Queries for Image Databases.
Y.-C Chang,L Bergman,V Castelli,C Li,M Lo,J Smith (2000). The Onion Technique: Indexing for Linear Optimization Queries.
D Xin,C Chen,J Han (2006). Towards Robust Indexing for Ranked Queries.
N Hristidis,Y Koudas,Papakonstantinou (2001). Prefer: A System for the Efficient Execution of Multi -Parametric Ranked Queries.
G Das,D Gunopulos,N Koudas,D Tsirogiannis (2006). Answering Top-K Queries Using Views.
S Bo¨ Rzso¨ Nyi,D Kossmann,K Stocker (2001). The Skyline Operator.
Dimitris Papadias,Yufei Tao,Greg Fu,Bernhard Seeger (2003). An optimal and progressive algorithm for skyline queries.
F Ihab,George Ilyas,Mohamed Beskales And,Soliman (2011). A survey of top-k query processing technique in relational database systems.
Donald Kossmann,Frank Ramsak,Steffen Rost (2002). Shooting Stars in the Sky.
T Cormen,C Leiserson,R Rivest,C Stein (2001). Introduction to Algorithms.
Donald Campbell,Ryo-Ichi Nagahisa (1994). A Foundation for Pareto Aggregation.
Mark Voorneveld (2003). Characterization of Pareto dominance.
C Li,B Ooi,A Tung,S Wang (2006). DADA: A Data Cube for Dominant Relationship Analysis.
Y Tao,V Hristidis,D Papadias,Y Papakonstantinou (2007). Branch-and-Bound Processing of Ranked Queries.
Richard Lipton,Jeffrey Naughton,Donovan Schneider (1990). Practical selectivity estimation through adaptive sampling.
R Lipton,J Naughton (1990). Query Size Estimation by Adaptive Sampling.
S Chaudhuri,N Dalvi,R Kaushik (2006). Robust Cardinality and Cost Estimation for Skyline Operator.
C Barber,David Dobkin,Hannu Huhdanpaa (1996). The quickhull algorithm for convex hulls.
Dong Xin,Jiawei Han (2006). P-Cube: Answering Preference Queries in Multi-Dimensional Space.
S Nepal,M Ramakrishna (1999). Query Processing Issues in Image (Multimedia) Databases.
M Li,Y Liu (2010). Iso-Map: Energy-Efficient Contour Mapping in Wireless Sensor Networks.
Hannah Bast,Debapriyo Majumdar,Ralf Schenkel,Martin Theobald,Gerhard Weikum (2006). IO-Top-k at TREC 2006: Terabyte Track.
N Mamoulis,Kit Hung Cheng,Man Lung Yiu,D Cheung (2006). Efficient Aggregation of Ranked Inputs.

Download References

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, ashniya. 2013. "A Survey of Techniques for Answering Top-K Queries". Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 13 (GJCST Volume 13 Issue C2).

More Citation Formats

Select Citation Style:

Download Citation

GJCST Volume 13 Issue C2

Explore Journals Explore Volume Read This Issue

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

Classification

GJCST-C Classification H.2.3

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

Version of record

v1.2

Issue date

February 28, 2013

Language

English

Experiance in AR

Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.

View in VR

Read in 3D

Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.

View in 3D

Article Matrices

Total Score: 147

Country: India

Subject: Global Journal of Computer Science and Technology

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

View Count (all-time): 408

Total Views (Real + Logic): 2236

Total Downloads (simulated): 199

Publish Date: 2013 01, Tue

Monthly Totals (Real + Logic):

Month 1: 58 views
Month 2: 31 views
Month 3: 45 views
Month 4: 65 views
Month 5: 60 views
Month 6: 58 views
Month 7: 35 views
Month 8: 53 views
Month 9: 22 views
Month 10: 30 views
Month 11: 26 views
Month 12: 23 views
Month 13: 44 views
Month 14: 24 views
Month 15: 14 views
Month 16: 42 views
Month 17: 48 views
Month 18: 34 views
Month 19: 32 views
Month 20: 19 views
Month 21: 25 views
Month 22: 20 views
Month 23: 15 views
Month 24: 39 views
Month 25: 22 views
Month 26: 36 views
Month 27: 17 views
Month 28: 30 views
Month 29: 15 views
Month 30: 36 views
Month 31: 41 views
Month 32: 14 views
Month 33: 25 views
Month 34: 15 views
Month 35: 24 views
Month 36: 32 views
Month 37: 35 views
Month 38: 34 views
Month 39: 31 views
Month 40: 29 views
Month 41: 27 views
Month 42: 27 views
Month 43: 22 views
Month 44: 36 views
Month 45: 29 views
Month 46: 12 views
Month 47: 25 views
Month 48: 21 views
Month 49: 32 views
Month 50: 42 views
Month 51: 46 views
Month 52: 24 views
Month 53: 37 views
Month 54: 35 views
Month 55: 47 views
Month 56: 21 views
Month 57: 30 views
Month 58: 33 views
Month 59: 36 views
Month 60: 42 views
Month 61: 26 views
Month 62: 27 views
Month 63: 31 views
Month 64: 30 views
Month 65: 45 views
Month 66: 20 views
Month 67: 33 views
Month 68: 35 views
Month 69: 22 views
Month 70: 32 views
Month 71: 30 views
Month 72: 25 views
Month 73: 30 views
Month 74: 34 views
Month 75: 25 views
Month 76: 33 views
Month 77: 14 views
Month 78: 41 views
Month 79: 21 views
Month 80: 33 views
Month 81: 41 views
Month 82: 42 views
Month 83: 35 views
Month 84: 39 views
Month 85: 40 views
Month 86: 40 views
Month 87: 26 views
Month 88: 30 views
Month 89: 37 views
Month 90: 33 views
Month 91: 26 views
Month 92: 36 views
Month 93: 37 views
Month 94: 26 views
Month 95: 28 views
Month 96: 24 views
Month 97: 37 views
Month 98: 34 views
Month 99: 43 views
Month 100: 34 views
Month 101: 19 views
Month 102: 17 views
Month 103: 15 views
Month 104: 39 views
Month 105: 19 views
Month 106: 17 views
Month 107: 18 views
Month 108: 29 views
Month 109: 25 views
Month 110: 21 views
Month 111: 34 views
Month 112: 30 views
Month 113: 34 views
Month 114: 28 views
Month 115: 34 views
Month 116: 21 views
Month 117: 19 views
Month 118: 28 views
Month 119: 16 views
Month 120: 42 views
Month 121: 31 views
Month 122: 22 views
Month 123: 40 views
Month 124: 36 views
Month 125: 42 views
Month 126: 34 views
Month 127: 23 views
Month 128: 35 views
Month 129: 23 views
Month 130: 13 views
Month 131: 31 views
Month 132: 40 views
Month 133: 50 views
Month 134: 33 views
Month 135: 36 views
Month 136: 33 views
Month 137: 23 views
Month 138: 23 views
Month 139: 19 views
Month 140: 23 views
Month 141: 35 views
Month 142: 43 views
Month 143: 28 views
Month 144: 28 views
Month 145: 42 views
Month 146: 27 views
Month 147: 30 views
Month 148: 33 views
Month 149: 41 views
Month 150: 29 views
Month 151: 39 views
Month 152: 15 views
Month 153: 43 views
Month 154: 43 views
Month 155: 39 views
Month 156: 23 views
Month 157: 41 views
Month 158: 59 views
Month 159: 46 views
Month 160: 39 views
Month 161: 25 views
Month 162: 53 views
Month 163: 29 views
Month 164: 28 views
Month 165: 42 views

Total Views: 2.2K

Total Downloads: 199

All Trends