Demo Data from VLDB 2026 / reviewers in the wild / expert
Jörg-Uwe Kietz
dblp:82/3738
· DBLP profile ↗
9ranked-venue papers
6as first author
0since 2021 · last 2014
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 5 · 3 first-authorDatabases, data management, data science and information retrieval · 5 · 3 first-authorTheory of computation · 1 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
2 papers |
Knowledge representation and reasoning · 100% | |
| Databases, data mining, and information retrieval
2 papers |
Data mining · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational finance and economics · 100% |
Topics — the 4 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Knowledge representation and reasoning › logic programming
inductive logic programming |
0.0 | 1 | 1994 | An Efficient Subsumption Algorithm for Inductive Logic Programming · ICML 1994 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
logic programming |
0.0 | 1 | 1994 | An Efficient Subsumption Algorithm for Inductive Logic Programming · ICML 1994 |
Knowledge, reasoning and agents › Knowledge representation and reasoning › description logic
subsumption |
0.0 | 1 | 1994 | An Efficient Subsumption Algorithm for Inductive Logic Programming · ICML 1994 |
Knowledge, reasoning and agents › Knowledge representation and reasoning › concept learning
conceptual clustering |
0.0 | 1 | 1989 | A Bootstrapping Approach to Concept Clustering · ML 1989 |
Methods — techniques the papers use, named apart from their topics
subsumption algorithm · 0.0bootstrapping · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | "Semantics Inside!" But Let's Not Tell the Data Miners: Intelligent Support for Data Mining
Jörg-Uwe Kietz, Floarea Serban, Simon Fischer 0001, Abraham Bernstein |
ESWC | 1 |
| 2002 | Learnability of Description Logic Programs
Jörg-Uwe Kietz |
ILP | 1 |
| 2001 | M4 - A Metamodel for Data PreprocessingabstractMetadata-driven tools store control information in repositories that are outside of programs and applications. At runtime, this control information (i.e., metadata) is read, interpreted and dynamically bound into software execution. If new requirements arise, metadata may be changed without affecting the programs sharing it and without requiring re-compilation of these programs. Repositories store metadata according to a metadata structure, called a metamodel. M4 is the metamodel used by Mining Mart, a system for supporting data preprocessing for data mining. The aim of this paper is twofold. First, we introduce M4 (the MetaModel of Mining Mart) and present some ideas underlying the design and implementation. Second, we discuss on the basis of M4 issues related to metadata-driven software: advantages of building and using such software, its weaknesses and the role it plays for metadata management, especially within data warehousing environments. Anca Vaduva, Jörg-Uwe Kietz, Regina Zücker |
DOLAP | 2 |
| 1998 | A Data Mining Support Environment and its Application on Insurance Data
Martin Staudt 0001, Jörg-Uwe Kietz, Ulrich Reimer |
KDD | 2 |
| 1997 | Mining Insurance Data at Swiss Life
Jörg-Uwe Kietz, Ulrich Reimer, Martin Staudt 0001 |
VLDB | 1 |
| 1994 | An Efficient Subsumption Algorithm for Inductive Logic Programming
Jörg-Uwe Kietz, Marcus Lübbe |
ICML | 1 |
| 1994 | A Polynomial Approach to the Constructive Induction of Structural Knowledge
Jörg-Uwe Kietz, Katharina Morik |
Mach. Learn. | 1 |
| 1993 | Some Lower Bounds for the Computational Complexity of Inductive Logic Programming
Jörg-Uwe Kietz |
ECML | 1 |
| 1989 | A Bootstrapping Approach to Concept Clustering
Katharina Morik, Jörg-Uwe Kietz |
ML | 2 |