Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page
Demo Data from EDBT 2026 / reviewers in the wild / expert

André van Hameren

dblp:73/5998 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2001
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 1

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.

Databases, data mining, and information retrieval
1 paper
Information retrieval · 87% Data mining · 13%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information retrieval
retrieval evaluation		 0.012001
The Score-Distributional Threshold Optimization for Adaptive Binary Classification Tasks · SIGIR 2001
Information retrieval › retrieval evaluation
threshold optimization		 0.012001
The Score-Distributional Threshold Optimization for Adaptive Binary Classification Tasks · SIGIR 2001
Data mining › text mining
text classification		 0.012001
The Score-Distributional Threshold Optimization for Adaptive Binary Classification Tasks · SIGIR 2001

Methods — techniques the papers use, named apart from their topics

score distribution modeling · 0.0contingency table optimization · 0.0
YearPublicationVenuePosition
2001 The Score-Distributional Threshold Optimization for Adaptive Binary Classification Tasks
abstract
The thresholding of document scores has proved critical for the effectiveness of classification tasks. We review the most important approaches to thresholding, and introduce thescore-distributional (S-D) threshold optimizationmethod. The method is based on score distributions and is capable of optimizing any effectiveness measure defined in terms of the traditional contingency table.
Avi Arampatzis, André van Hameren
 SIGIR2