A Relational Framework for Classifier Engineering
Summary: Formal relational framework modeling feature engineering as database queries to enable DB-centric analysis of classifier expressivity and learnability. Defines separability, VC-dimension of query-defined feature classes, and identifiability; analyzes complexity for conjunctive-query features under common syntactic restrictions. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,269 | Database Views as Explanations for Relational Deep Learning | 2026 | VLDB | 4.1945683e-05 |
| 10,324 | Towards Efficient Random-Order Enumeration for Join Queries | 2026 | VLDB | 4.1945683e-05 |
| 11,157 | Extremal Fitting Problems for Conjunctive Queries | 2023 | PODS | 4.1945683e-05 |
| 11,639 | Regularizing Conjunctive Features for Classification | 2019 | PODS | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 667 | Incremental Knowledge Base Construction Using DeepDive | 2015 | VLDB | 0.00018440557 |
| 761 | Materialization Optimizations for Feature Selection Workloads | 2014 | SIGMOD | 0.00017053783 |
| 2,915 | Brainwash: A Data System for Feature Engineering | 2013 | CIDR | 7.9078385e-05 |
| 5,043 | The Complexity of Mining Maximal Frequent Subgraphs | 2013 | PODS | 5.7411631e-05 |
| 6,115 | An Integrated Development Environment for Faster Feature Engineering | 2014 | VLDB | 5.2042468e-05 |
| 6,490 | Spanners: A Formal Framework for Information Extraction | 2013 | PODS | 5.0431719e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,549 | Database-Agnostic Workload Management | 2019 | CIDR | 6.0926728e-05 |
| 1,914 | Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks | 2020 | SIGMOD | 0.00010109102 |
| 942 | A Formal Approach to Finding Explanations for Database Queries | 2014 | SIGMOD | 0.00015155714 |
| 8,954 | Understanding Queries by Conditional Instances | 2022 | SIGMOD | 4.4221863e-05 |
| 3,047 | Comprehensive Approach to the Design of Relational Database Schemes | 1984 | VLDB | 7.6561027e-05 |
| 10,269 | Database Views as Explanations for Relational Deep Learning | 2026 | VLDB | 4.1945683e-05 |
| 3,823 | Automatic Discovery of Attributes in Relational Databases | 2011 | SIGMOD | 6.7261168e-05 |
| 12,692 | Decision Tables: Scalable Classification Exploring RDBMS Capabilities | 2000 | VLDB | 4.1945683e-05 |
| 9,776 | Structure-Aware Machine Learning over Multi-Relational Databases | 2021 | SIGMOD | 4.2856106e-05 |
| 11,639 | Regularizing Conjunctive Features for Classification | 2019 | PODS | 4.1945683e-05 |