| 543 |
MLbase: A Distributed Machine-learning System |
2013 |
CIDR |
0.00020526854 |
| 557 |
SystemML: Declarative Machine Learning on Spark |
2016 |
VLDB |
0.00020197988 |
| 683 |
Cerebro: A Data System for Optimized Deep Learning Model Selection |
2020 |
VLDB |
0.00018195476 |
| 761 |
Materialization Optimizations for Feature Selection Workloads |
2014 |
SIGMOD |
0.00017053783 |
| 834 |
Learning Linear Regression Models over Factorized Joins |
2016 |
SIGMOD |
0.00016135159 |
| 903 |
To Join or Not to Join? Thinking Twice about Joins before Feature Selection |
2016 |
SIGMOD |
0.0001547016 |
| 1,044 |
DimmWitted: A Study of Main-Memory Statistical Analytics |
2014 |
VLDB |
0.00014475229 |
| 1,167 |
Learning Generalized Linear Models Over Normalized Data |
2015 |
SIGMOD |
0.00013547713 |
| 1,279 |
Towards Linear Algebra over Normalized Data |
2017 |
VLDB |
0.00012868394 |
| 1,391 |
Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads |
2018 |
VLDB |
0.0001223506 |
| 1,532 |
Data Management in Machine Learning: Challenges, Techniques, and Systems |
2017 |
SIGMOD |
0.00011472681 |
| 1,750 |
Weld: A Common Runtime for High Performance Data Analytics |
2017 |
CIDR |
0.00010683647 |
| 1,891 |
Towards Model-based Pricing for Machine Learning in a Data Marketplace |
2019 |
SIGMOD |
0.00010194092 |
| 1,942 |
Heterogeneity-aware Distributed Parameter Servers |
2017 |
SIGMOD |
0.00010012691 |
| 2,122 |
SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle |
2020 |
CIDR |
9.4989076e-05 |
| 2,170 |
tf.data: A Machine Learning Data Processing Framework |
2021 |
VLDB |
9.3821603e-05 |
| 2,251 |
Vizdom: Interactive Analytics through Pen and Touch |
2015 |
VLDB |
9.1986441e-05 |
| 2,255 |
LINVIEW: Incremental View Maintenance for Complex Analytical Queries |
2014 |
SIGMOD |
9.1884983e-05 |
| 2,456 |
Production Machine Learning Pipelines: Empirical Analysis and Optimization Opportunities |
2021 |
SIGMOD |
8.7733773e-05 |
| 2,623 |
GenBase: A Complex Analytics Genomics Benchmark |
2014 |
SIGMOD |
8.4374366e-05 |
| 2,642 |
Vertica-ML: Distributed Machine Learning in Vertica Database |
2020 |
SIGMOD |
8.3851878e-05 |
| 2,667 |
Cumulon: Optimizing Statistical Data Analysis in the Cloud |
2013 |
SIGMOD |
8.3413995e-05 |
| 2,753 |
Complaint-driven Training Data Debugging for Query 2.0 |
2020 |
SIGMOD |
8.1724339e-05 |
| 2,804 |
Extending Relational Query Processing with ML Inference |
2020 |
CIDR |
8.0935487e-05 |
| 3,006 |
On Functional Aggregate Queries with Additive Inequalities |
2019 |
PODS |
7.7299363e-05 |
| 3,066 |
HAWQ: A Massively Parallel Processing SQL Engine in Hadoop |
2014 |
SIGMOD |
7.6221974e-05 |
| 3,081 |
Knowledge Expansion over Probabilistic Knowledge Bases |
2014 |
SIGMOD |
7.6031501e-05 |
| 3,099 |
DB4ML – An In-Memory Database Kernel with Machine Learning Support |
2020 |
SIGMOD |
7.5642871e-05 |
| 3,254 |
Query Processing on Tensor Computation Runtimes |
2022 |
VLDB |
7.3161051e-05 |
| 3,277 |
A Layered Aggregate Engine for Analytics Workloads |
2019 |
SIGMOD |
7.2871625e-05 |
| 3,345 |
QuickFOIL: Scalable Inductive Logic Programming |
2015 |
VLDB |
7.1958815e-05 |
| 3,359 |
Text2SQL is Not Enough: Unifying AI and Databases with TAG |
2025 |
CIDR |
7.1744146e-05 |
| 3,407 |
End-to-end Optimization of Machine Learning Prediction Queries |
2022 |
SIGMOD |
7.1295646e-05 |
| 3,455 |
A Comparison of Platforms for Implementing and Running Very Large Scale Machine Learning Algorithms |
2014 |
SIGMOD |
7.0771839e-05 |
| 3,467 |
Data Profiling – A Tutorial |
2017 |
SIGMOD |
7.069081e-05 |
| 3,473 |
AI Meets Database: AI4DB and DB4AI |
2021 |
SIGMOD |
7.062864e-05 |
| 3,638 |
Bolt-on Differential Privacy for Scalable Stochastic Gradient Descent-based Analytics |
2017 |
SIGMOD |
6.8952488e-05 |
| 3,875 |
Cloudy with High Chance of DBMS: A 10-year Prediction for Enterprise-Grade ML |
2020 |
CIDR |
6.675257e-05 |
| 3,948 |
A Comparative Evaluation of Systems for Scalable Linear Algebra-based Analytics |
2018 |
VLDB |
6.5959084e-05 |
| 3,958 |
MLog: Towards Declarative In-Database Machine Learning |
2017 |
VLDB |
6.5897636e-05 |
| 3,988 |
All-in-One: Graph Processing in RDBMSs Revisited |
2017 |
SIGMOD |
6.5589605e-05 |
| 4,014 |
Exploiting Correlations for Expensive Predicate Evaluation |
2015 |
SIGMOD |
6.5273084e-05 |
| 4,033 |
In-RDBMS Hardware Acceleration of Advanced Analytics |
2018 |
VLDB |
6.5113267e-05 |
| 4,077 |
Towards High-Throughput Gibbs Sampling at Scale: A Study across Storage Managers |
2013 |
SIGMOD |
6.4678697e-05 |
| 4,129 |
Are Key-Foreign Key Joins Safe to Avoid when Learning High-Capacity Classifiers? |
2018 |
VLDB |
6.428887e-05 |
| 4,159 |
F: Regression Models over Factorized Views |
2016 |
VLDB |
6.3993326e-05 |
| 4,197 |
Incremental View Maintenance with Triple Lock Factorization Benefits |
2018 |
SIGMOD |
6.367895e-05 |
| 4,257 |
Combining Databases and Signal Processing in Plato |
2015 |
CIDR |
6.3164509e-05 |
| 4,395 |
Scalable Asynchronous Gradient Descent Optimization for Out-of-Core Models |
2017 |
VLDB |
6.2244283e-05 |
| 4,548 |
Efficient and Portable Einstein Summation in SQL |
2023 |
SIGMOD |
6.0953447e-05 |