4 papers
Queryable Self-Organizing Maps: A Database Abstraction for Topology-Driven Data Exploration
Denis Mayr Lima Martins, Gottfried Vossen
Self-Organizing Maps (SOMs) have long been used as exploratory tools for high-dimensional data: they organize objects into a two-dimensional topology that reveals clusters, gradien…
Prompt as a Data Type: In-Database LLM Prompt Management and Rewriting
Denis Mayr Lima Martins, Gottfried Vossen
Large Language Models (LLMs) are increasingly used in database-backed applications to classify tuples, filter records using semantic predicates, extract structured attributes, and…
End-to-End Neural Network Training for Hyperbox-Based Classification
Denis Mayr Lima Martins, Christian Lülf, Fabian Gieseke
Hyperbox-based classification has been seen as a promising technique in which decisions on the data are represented as a series of orthogonal, multidimensional boxes (i.e., hyperbo…
Fast Search-By-Classification for Large-Scale Databases Using Index-Aware Decision Trees and Random Forests
Christian Lülf, Denis Mayr Lima Martins, Marcos Antonio Vaz Salles +2
The vast amounts of data collected in various domains pose great challenges to modern data exploration and analysis. To find "interesting" objects in large databases, users typical…