Melanie Herschel

Orcid: 0009-0007-9821-5921

Affiliations:
  • Nanyang Technological University, Singapore
  • University of Paris Sud, France (former)
  • University of Stuttgart, Institute for Parallel and Distributed Systems (former)


According to our database1, Melanie Herschel authored at least 80 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Research Data Management in Simulation Science: Infrastructure, Tools, and Applications.
Datenbank-Spektrum, July, 2024

Knowledge-Infused Optimization for Parameter Selection in Numerical Simulations.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Exploiting Negative Samples: A Catalyst for Cohort Discovery in Healthcare Analytics.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

FairCR - An Evaluation and Recommendation System for Fair Classification Algorithms.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

FALCC: Efficiently performing locally fair and accurate classifications.
Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

Putting Co-Design-Supporting Data Lakes to the Test: An Evaluation on AEC Case Studies.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2024

2023
A Dietary Nutrition-aided Healthcare Platform via Effective Food Recognition on a Localized Singaporean Food Dataset.
CoRR, 2023

Progressive Entity Resolution over Incremental Data.
Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023

2022
DyHealth: Making Neural Networks Dynamic for Effective Healthcare Analytics.
Proc. VLDB Endow., 2022

Metrics and Algorithms for Locally Fair and Accurate Classifications using Ensembles.
Datenbank-Spektrum, 2022

Trust in data engineering: reflection, framework, and evaluation methodology.
Proceedings of the First International Workshop on Data Ecosystems co-located with 48th International Conference on Very Large Databases (VLDB 2022), 2022

Provenance-based explanations: are they useful?
Proceedings of the 14th International Workshop on the Theory and Practice of Provenance, 2022

The ArchIBALD Data Integration Platform: Bridging Fragmented Processes in the Building Industry.
Proceedings of the Intelligent Information Systems, 2022

2021
Debugging Missing Answers for Spark Queries over Nested Data with Breadcrumb.
Proc. VLDB Endow., 2021

Collaborative filtering over evolution provenance data for interactive visual data exploration.
Inf. Syst., 2021

To not miss the forest for the trees - a holistic approach for explaining missing answers over nested data (extended version).
CoRR, 2021

Provenance-integrated parameter selection and optimization in numerical simulations.
Proceedings of the 13th International Workshop on Theory and Practice of Provenance, 2021

PACE: Learning Effective Task Decomposition for Human-in-the-loop Healthcare Delivery.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

To Not Miss the Forest for the Trees - A Holistic Approach for Explaining Missing Answers over Nested Data.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

End-to-end Task Based Parallelization for Entity Resolution on Dynamic Data.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Using FALCES against bias in automated decisions by integrating fairness in dynamic model ensembles.
Proceedings of the Datenbanksysteme für Business, 2021

2020
Towards task-based parallelization for entity resolution.
SICS Softw.-Intensive Cyber Phys. Syst., 2020

Accountable Data Analytics Start with Accountable Data: The LiQuID Metadata Model.
Proceedings of the ER Forum, 2020

Boosting Blocking Performance in Entity Resolution Pipelines: Comparison Cleaning using Bloom Filters.
Proceedings of the 23rd International Conference on Extending Database Technology, 2020

Tracing nested data with structural provenance for big data analytics.
Proceedings of the 23rd International Conference on Extending Database Technology, 2020

A System Framework for Personalized and Transparent Data-Driven Decisions.
Proceedings of the Advanced Information Systems Engineering, 2020

Distributed Tree-Pattern Matching in Big Data Analytics Systems.
Proceedings of the Advances in Databases and Information Systems, 2020

2019
Volume-based large dynamic graph analysis supported by evolution provenance.
Multim. Tools Appl., 2019

Structural summaries for visual provenance analysis.
Proceedings of the 11th International Workshop on Theory and Practice of Provenance, 2019

Query-based Why-not Explanations for Nested Data.
Proceedings of the 11th International Workshop on Theory and Practice of Provenance, 2019

Capturing and Querying Structural Provenance in Spark with Pebble.
Proceedings of the 2019 International Conference on Management of Data, 2019

LuPe: A System for Personalized and Transparent Data-driven Decisions.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Towards Integrating Collaborative Filtering in Visual Data Exploration Systems.
Proceedings of the New Trends in Databases and Information Systems, 2019

2018
Simultaneous Visual Analysis of Multiple Software Hierarchies.
Proceedings of the 2018 IEEE Working Conference on Software Visualization, 2018

Provenance for Entity Resolution.
Proceedings of the Provenance and Annotation of Data and Processes, 2018

Provenance-Based Visual Data Exploration with EVLIN.
Proceedings of the 21st International Conference on Extending Database Technology, 2018

2017
A survey on provenance: What for? What form? What from?
VLDB J., 2017

Provenance-based Recommendations for Visual Data Exploration.
Proceedings of the 9th USENIX Workshop on the Theory and Practice of Provenance, 2017

Provenance in DISC Systems: Reducing Space Overhead at Runtime.
Proceedings of the 9th USENIX Workshop on the Theory and Practice of Provenance, 2017

2016
Refining SQL Queries based on Why-Not Polynomials.
Proceedings of the 8th USENIX Workshop on the Theory and Practice of Provenance, 2016

Provenance: On and Behind the Screens.
Proceedings of the 2016 International Conference on Management of Data, 2016

Reuse-based Optimization for Pig Latin.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
EFQ: Why-Not Answer Polynomials in Action.
Proc. VLDB Endow., 2015

A Hybrid Approach to Answering Why-Not Questions on Relational Query Results.
ACM J. Data Inf. Qual., 2015

Immutably answering Why-Not questions for equivalent conjunctive queries.
Ingénierie des Systèmes d Inf., 2015

Pushing the Limits of Instance Matching Systems: A Semantics-Aware Benchmark for Linked Data.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

LANCE: Piercing to the Heart of Instance Matching Tools.
Proceedings of the Semantic Web - ISWC 2015, 2015

Efficient Computation of Polynomial Explanations of Why-Not Questions.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
Entity resolution in the web of data.
Proceedings of the 23rd International World Wide Web Conference, 2014

Query-Based Why-Not Provenance with NedExplain.
Proceedings of the 17th International Conference on Extending Database Technology, 2014

2013
Efficient and Effective Duplicate Detection in Hierarchical Data.
IEEE Trans. Knowl. Data Eng., 2013

Wondering why data are missing from query results?: ask conseil why-not.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
Scalable Iterative Graph Duplicate Detection.
IEEE Trans. Knowl. Data Eng., 2012

Datenintegration.
it Inf. Technol., 2012

The nautilus analyzer: understanding and debugging data transformations.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Eliminating NULLs with Subsumption and Complementation.
IEEE Data Eng. Bull., 2011

2010
An Introduction to Duplicate Detection
Synthesis Lectures on Data Management, Morgan & Claypool Publishers, ISBN: 978-3-031-01835-0, 2010

An Overview of XML Duplicate Detection Algorithms.
Proceedings of the Soft Computing in XML Data Management, 2010

Explaining Missing Answers to SPJUA Queries.
Proc. VLDB Endow., 2010

Complement union for data integration.
Proceedings of the Workshops Proceedings of the 26th International Conference on Data Engineering, 2010

Subsumption and complementation as data fusion operators.
Proceedings of the EDBT 2010, 2010

2009
Artemis: A System for Analyzing Missing Answers.
Proc. VLDB Endow., 2009

Dublettenerkennung unter Berücksichtigung von Datenabhängigkeiten (Duplicate Detection Exploiting Data Relationships).
it Inf. Technol., 2009

2008
Duplicate detection in XML data.
WiKu, Duisburg, Colone, Germany, ISBN: 978-3-86553-263-3, 2008

Industry-scale duplicate detection.
Proc. VLDB Endow., 2008

Scaling up duplicate detection in graph data.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

2007
Dublettenerkennung in komplex strukturierten Daten [Duplicate Detection in SML Data].
Proceedings of the Ausgezeichnete Informatikdissertationen 2007, 2007

Structure-based inference of xml similarity for fuzzy duplicate detection.
Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management, 2007

XClean in Action (Demo).
Proceedings of the Third Biennial Conference on Innovative Data Systems Research, 2007

Declarative XML Data Cleaning with XClean.
Proceedings of the Advanced Information Systems Engineering, 19th International Conference, 2007

Duplicate detection in XML data.
PhD thesis, 2007

2006
Data Fusion in Three Steps: Resolving Schema, Tuple, and Value Inconsistencies.
IEEE Data Eng. Bull., 2006

Detecting Duplicates in Complex XML Data.
Proceedings of the 22nd International Conference on Data Engineering, 2006

XStruct: Efficient Schema Extraction from Multiple and Large XML Documents.
Proceedings of the 22nd International Conference on Data Engineering Workshops, 2006

XML Duplicate Detection Using Sorted Neighborhoods.
Proceedings of the Advances in Database Technology, 2006

2005
Erkennen und Bereinigen von Datenfehlern in naturwissenschaftlichen Daten.
Datenbank-Spektrum, 2005

Automatic Data Fusion with HumMer.
Proceedings of the 31st International Conference on Very Large Data Bases, Trondheim, Norway, August 30, 2005

DogmatiX Tracks down Duplicates in XML.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2005

2004
Eine Übung zur Vorlesung Informationsintegration.
Datenbank-Spektrum, 2004

Detecting Duplicate Objects in XML Documents.
Proceedings of the IQIS 2004, 2004


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