| 3 |
Pig Latin: A Not-So-Foreign Language for Data Processing |
2008 |
SIGMOD |
0.0024183614 |
| 11 |
Implementing Data Cubes Efficiently |
1996 |
SIGMOD |
0.0011708144 |
| 14 |
Online Aggregation |
1997 |
SIGMOD |
0.0010801504 |
| 18 |
On Random Sampling over Joins |
1999 |
SIGMOD |
0.00092385438 |
| 22 |
SCOPE: Easy and Efficient Parallel Processing of Massive Data Sets |
2008 |
VLDB |
0.0008456613 |
| 28 |
Accurate Estimation Of The Number Of Tuples Satisfying A Condition |
1984 |
SIGMOD |
0.00080435857 |
| 66 |
Spark SQL: Relational Data Processing in Spark |
2015 |
SIGMOD |
0.00061639801 |
| 70 |
Hive - A Warehousing Solution Over a Map-Reduce Framework |
2009 |
VLDB |
0.00059533166 |
| 109 |
Dremel: Interactive Analysis of Web-Scale Datasets |
2010 |
VLDB |
0.00048186983 |
| 158 |
Automated Selection of Materialized Views and Indexes for SQL Databases |
2000 |
VLDB |
0.00040071492 |
| 217 |
Ripple Joins for Online Aggregation |
1999 |
SIGMOD |
0.00033536712 |
| 273 |
Approximate Computation of Multidimensional Aggregates of Sparse Data Using Wavelets |
1999 |
SIGMOD |
0.00029390945 |
| 378 |
Towards Estimation Error Guarantees for Distinct Values |
2000 |
PODS |
0.0002497492 |
| 405 |
Approximate Query Processing Using Wavelets |
2000 |
VLDB |
0.00024057494 |
| 429 |
The Aqua Approximate Query Answering System |
1999 |
SIGMOD |
0.00023476494 |
| 449 |
Approximate Query Processing: Taming the TeraBytes! A Tutorial |
2001 |
VLDB |
0.00022846068 |
| 530 |
Random Sampling for Histogram Construction: How much is enough? |
1998 |
SIGMOD |
0.00020803682 |
| 739 |
Congressional Samples for Approximate Answering of Group-By Queries |
2000 |
SIGMOD |
0.00017401518 |
| 943 |
Wander Join: Online Aggregation via Random Walks |
2016 |
SIGMOD |
0.00015145883 |
| 1,098 |
Trill: A High-Performance Incremental Query Processor for Diverse Analytics |
2015 |
VLDB |
0.00014114442 |
| 1,152 |
Blink and It's Done: Interactive Queries on Very Large Data |
2012 |
VLDB |
0.00013645792 |
| 1,193 |
Join Size Estimation Subject to Filter Conditions |
2015 |
VLDB |
0.00013414989 |
| 1,260 |
Dynamic Sample Selection for Approximate Query Processing |
2003 |
SIGMOD |
0.00012993347 |
| 1,323 |
Quickr: Lazily Approximating Complex AdHoc Queries in BigData Clusters |
2016 |
SIGMOD |
0.00012601997 |
| 1,335 |
ICICLES: Self-tuning Samples for Approximate Query Answering |
2000 |
VLDB |
0.00012502131 |
| 1,425 |
Scalable Approximate Query Processing With The DBO Engine |
2007 |
SIGMOD |
0.00012051353 |
| 1,464 |
Online Aggregation for Large MapReduce Jobs |
2011 |
VLDB |
0.00011865546 |
| 1,874 |
Knowing When You’re Wrong: Building Fast and Reliable Approximate Query Processing Systems |
2014 |
SIGMOD |
0.00010244443 |
| 1,909 |
SciBORQ: Scientific data management with Bounds On Runtime and Quality |
2011 |
CIDR |
0.00010121304 |
| 2,011 |
Rapid Sampling for Visualizations with Ordering Guarantees |
2015 |
VLDB |
9.7964875e-05 |
| 2,355 |
G-OLA: Generalized On-Line Aggregation for Interactive Analysis on Big Data |
2015 |
SIGMOD |
8.9677847e-05 |
| 2,365 |
The Analytical Bootstrap: a New Method for Fast Error Estimation in Approximate Query Processing |
2014 |
SIGMOD |
8.9551432e-05 |
| 2,368 |
Online Maintenance of Very Large Random Samples |
2004 |
SIGMOD |
8.9501526e-05 |
| 2,580 |
Sample + Seek: Approximating Aggregates with Distribution Precision Guarantee |
2016 |
SIGMOD |
8.5058814e-05 |
| 2,616 |
DAQ: A New Paradigm for Approximate Query Processing |
2015 |
VLDB |
8.4471955e-05 |
| 2,808 |
A Robust, Optimization-Based Approach for Approximate Answering of Aggregate Queries |
2001 |
SIGMOD |
8.0870741e-05 |
| 2,995 |
A Sampling Algebra for Aggregate Estimation |
2013 |
VLDB |
7.7587199e-05 |
| 3,013 |
Cardinality Estimation Using Sample Views with Quality Assurance |
2007 |
SIGMOD |
7.7137441e-05 |
| 3,310 |
Optimal and Approximate Computation of Summary Statistics for Range Aggregates |
2001 |
PODS |
7.2408955e-05 |
| 4,052 |
Interactive Analysis of Web-Scale Data |
2009 |
CIDR |
6.4936745e-05 |
| 4,211 |
Querying Big Graphs within Bounded Resources |
2014 |
SIGMOD |
6.3563454e-05 |
| 4,546 |
Bounded Conjunctive Queries |
2014 |
VLDB |
6.0987778e-05 |
| 5,262 |
SnappyData: A Hybrid Transactional Analytical Store Built On Spark |
2016 |
SIGMOD |
5.5977349e-05 |
| 5,581 |
CliffGuard: A Principled Framework for Finding Robust Database Designs |
2015 |
SIGMOD |
5.424205e-05 |
| 5,879 |
Fast and Near–Optimal Algorithms for Approximating Distributions by Histograms |
2015 |
PODS |
5.2908101e-05 |
| 6,136 |
Scalable Progressive Analytics on Big Data in the Cloud |
2013 |
VLDB |
5.1928748e-05 |
| 7,085 |
Querying Big Data by Accessing Small Data |
2015 |
PODS |
4.8388174e-05 |
| 7,413 |
On Scale Independence for Querying Big Data |
2014 |
PODS |
4.7358047e-05 |
| 8,715 |
Data Driven Approximation with Bounded Resources |
2017 |
VLDB |
4.4619052e-05 |
| 8,728 |
Stale View Cleaning: Getting Fresh Answers from Stale Materialized Views |
2015 |
VLDB |
4.4589711e-05 |