Detecting Duplicate Objects in XML Documents. - Melanie Weis; Felix Naumann (IQIS, 2004)

Eine Übung zur Vorlesung Informationsintegration. - Felix Naumann; Jens Bleiholder; Melanie Weis (Datenbank-Spektrum, 2004)

DogmatiX Tracks down Duplicates in XML. - Melanie Weis; Felix Naumann (SIGMOD Conference, 2005)

Automatic Data Fusion with HumMer. - Alexander Bilke; Jens Bleiholder; Christoph Böhm 001; Karsten Draba; Felix Naumann; Melanie Weis (VLDB, 2005)

Erkennen und Bereinigen von Datenfehlern in naturwissenschaftlichen Daten. - Heiko Müller 001; Melanie Weis; Jens Bleiholder; Ulf Leser (Datenbank-Spektrum, 2005)

XML Duplicate Detection Using Sorted Neighborhoods. - Sven Puhlmann; Melanie Weis; Felix Naumann (EDBT, 2006)

XStruct: Efficient Schema Extraction from Multiple and Large XML Documents. - Jan Hegewald; Felix Naumann; Melanie Weis (ICDE Workshops, 2006)

Detecting Duplicates in Complex XML Data. - Melanie Weis; Felix Naumann (ICDE, 2006)

Data Fusion in Three Steps: Resolving Schema, Tuple, and Value Inconsistencies. - Felix Naumann; Alexander Bilke; Jens Bleiholder; Melanie Weis (IEEE Data Eng. Bull., 2006)

Duplicate detection in XML data. - Melanie Weis (2007)

Declarative XML Data Cleaning with XClean. - Melanie Weis; Ioana Manolescu (CAiSE, 2007)

XClean in Action (Demo). - Melanie Weis; Ioana Manolescu (CIDR, 2007)

Structure-based inference of xml similarity for fuzzy duplicate detection. - Luís Leitão; Pável Calado; Melanie Weis (CIKM, 2007)

Dublettenerkennung in komplex strukturierten Daten [Duplicate Detection in SML Data]. - Melanie Weis (Ausgezeichnete Informatikdissertationen, 2007)

Scaling up duplicate detection in graph data. - Melanie Herschel; Felix Naumann (CIKM, 2008)

Industry-scale duplicate detection. - Melanie Weis; Felix Naumann; Ulrich Jehle; Jens Lufter; Holger Schuster (Proc. VLDB Endow., 2008)

Duplicate detection in XML data. - Melanie Weis (WiKu, Duisburg, Colone, Germany, 2008)

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

Artemis: A System for Analyzing Missing Answers. - Melanie Herschel; Mauricio A. Hernández; Wang Chiew Tan (Proc. VLDB Endow., 2009)

Subsumption and complementation as data fusion operators. - Jens Bleiholder; Sascha Szott; Melanie Herschel; Frank Kaufer; Felix Naumann (EDBT, 2010)

Complement union for data integration. - Jens Bleiholder; Sascha Szott; Melanie Herschel; Felix Naumann (ICDE Workshops, 2010)

Explaining Missing Answers to SPJUA Queries. - Melanie Herschel; Mauricio A. Hernández (Proc. VLDB Endow., 2010)

An Overview of XML Duplicate Detection Algorithms. - Pável Calado; Melanie Herschel; Luís Leitão (Soft Computing in XML Data Management, 2010)

An Introduction to Duplicate Detection - Felix Naumann; Melanie Herschel (Morgan & Claypool Publishers, 2010)

Eliminating NULLs with Subsumption and Complementation. - Jens Bleiholder; Melanie Herschel; Felix Naumann (IEEE Data Eng. Bull., 2011)

The nautilus analyzer: understanding and debugging data transformations. - Melanie Herschel; Hanno Eichelberger (CIKM, 2012)

Datenintegration. - Melanie Herschel (it Inf. Technol., 2012)

Scalable Iterative Graph Duplicate Detection. - Melanie Herschel; Felix Naumann; Sascha Szott; Maik Taubert (IEEE Trans. Knowl. Data Eng., 2012)

Wondering why data are missing from query results?: ask conseil why-not. - Melanie Herschel (CIKM, 2013)

Efficient and Effective Duplicate Detection in Hierarchical Data. - Luís Leitão; Pável Calado; Melanie Herschel (IEEE Trans. Knowl. Data Eng., 2013)

Query-Based Why-Not Provenance with NedExplain. - Nicole Bidoit; Melanie Herschel; Katerina Tzompanaki (EDBT, 2014)

Entity resolution in the web of data. - Kostas Stefanidis; Vasilis Efthymiou; Melanie Herschel; Vassilis Christophides (WWW (Companion Volume), 2014)

Efficient Computation of Polynomial Explanations of Why-Not Questions. - Nicole Bidoit; Melanie Herschel; Aikaterini Tzompanaki (CIKM, 2015)

LANCE: Piercing to the Heart of Instance Matching Tools. - Tzanina Saveta; Evangelia Daskalaki; Giorgos Flouris; Irini Fundulaki; Melanie Herschel; Axel-Cyrille Ngonga Ngomo (ISWC (1), 2015)

Pushing the Limits of Instance Matching Systems: A Semantics-Aware Benchmark for Linked Data. - Tzanina Saveta; Evangelia Daskalaki; Giorgos Flouris; Irini Fundulaki; Melanie Herschel; Axel-Cyrille Ngonga Ngomo (WWW (Companion Volume), 2015)

Immutably answering Why-Not questions for equivalent conjunctive queries. - Nicole Bidoit; Melanie Herschel; Katerina Tzompanaki (Ingénierie des Systèmes d Inf., 2015)

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

EFQ: Why-Not Answer Polynomials in Action. - Nicole Bidoit; Melanie Herschel; Katerina Tzompanaki (Proc. VLDB Endow., 2015)

Reuse-based Optimization for Pig Latin. - Jesús Camacho-Rodríguez; Dario Colazzo; Melanie Herschel; Ioana Manolescu; Soudip Roy Chowdhury (CIKM, 2016)

Provenance: On and Behind the Screens. - Melanie Herschel; Marcel Hlawatsch (SIGMOD Conference, 2016)

Refining SQL Queries based on Why-Not Polynomials. - Nicole Bidoit; Melanie Herschel; Katerina Tzompanaki (TaPP, 2016)

Provenance in DISC Systems: Reducing Space Overhead at Runtime. - Ralf Diestelkämper; Melanie Herschel; Priyanka Jadhav (TaPP, 2017)

Provenance-based Recommendations for Visual Data Exploration. - Houssem Ben Lahmar; Melanie Herschel (TaPP, 2017)

A survey on provenance: What for? What form? What from? - Melanie Herschel; Ralf Diestelkämper; Houssem Ben Lahmar (VLDB J., 2017)

Provenance-Based Visual Data Exploration with EVLIN. - Houssem Ben Lahmar; Melanie Herschel; Michael Blumenschein; Daniel A. Keim (EDBT, 2018)

Provenance for Entity Resolution. - Sarah Oppold; Melanie Herschel (IPAW, 2018)

Simultaneous Visual Analysis of Multiple Software Hierarchies. - Christoph Schulz 001; Adrian Zeyfang; Mereke van Garderen; Houssem Ben Lahmar; Melanie Herschel; Daniel Weiskopf (VISSOFT, 2018)

Towards Integrating Collaborative Filtering in Visual Data Exploration Systems. - Houssem Ben Lahmar; Melanie Herschel (ADBIS (Short Papers and Workshops), 2019)

LuPe: A System for Personalized and Transparent Data-driven Decisions. - Sarah Oppold; Melanie Herschel (CIKM, 2019)

Capturing and Querying Structural Provenance in Spark with Pebble. - Ralf Diestelkämper; Melanie Herschel (SIGMOD Conference, 2019)

Query-based Why-not Explanations for Nested Data. - Ralf Diestelkämper; Boris Glavic; Melanie Herschel; Seokki Lee (TaPP, 2019)

Structural summaries for visual provenance analysis. - Houssem Ben Lahmar; Melanie Herschel (TaPP, 2019)

Volume-based large dynamic graph analysis supported by evolution provenance. - Valentin Bruder; Houssem Ben Lahmar; Marcel Hlawatsch; Steffen Frey; Michael Burch; Daniel Weiskopf; Melanie Herschel; Thomas Ertl (Multim. Tools Appl., 2019)

Distributed Tree-Pattern Matching in Big Data Analytics Systems. - Ralf Diestelkämper; Melanie Herschel (ADBIS, 2020)

A System Framework for Personalized and Transparent Data-Driven Decisions. - Sarah Oppold; Melanie Herschel (CAiSE, 2020)

Tracing nested data with structural provenance for big data analytics. - Ralf Diestelkämper; Melanie Herschel (EDBT, 2020)

Boosting Blocking Performance in Entity Resolution Pipelines: Comparison Cleaning using Bloom Filters. - Leonardo Gazzarri; Melanie Herschel (EDBT, 2020)

Accountable Data Analytics Start with Accountable Data: The LiQuID Metadata Model. - Sarah Oppold; Melanie Herschel (ER Forum/Posters/Demos, 2020)

Towards task-based parallelization for entity resolution. - Leonardo Gazzarri; Melanie Herschel (SICS Softw.-Intensive Cyber Phys. Syst., 2020)

Using FALCES against bias in automated decisions by integrating fairness in dynamic model ensembles. - Nico Lässig; Sarah Oppold; Melanie Herschel (BTW, 2021)

End-to-end Task Based Parallelization for Entity Resolution on Dynamic Data. - Leonardo Gazzarri; Melanie Herschel (ICDE, 2021)

To Not Miss the Forest for the Trees - A Holistic Approach for Explaining Missing Answers over Nested Data. - Ralf Diestelkämper; Seokki Lee; Melanie Herschel; Boris Glavic (SIGMOD Conference, 2021)

PACE: Learning Effective Task Decomposition for Human-in-the-loop Healthcare Delivery. - Kaiping Zheng; Gang Chen 001; Melanie Herschel; Kee Yuan Ngiam; Beng Chin Ooi; Jinyang Gao (SIGMOD Conference, 2021)

Provenance-integrated parameter selection and optimization in numerical simulations. - Julia Kühnert; Dominik Göddeke; Melanie Herschel (TaPP, 2021)

To not miss the forest for the trees - a holistic approach for explaining missing answers over nested data (extended version). - Ralf Diestelkämper; Seokki Lee; Melanie Herschel; Boris Glavic (CoRR, 2021)

Collaborative filtering over evolution provenance data for interactive visual data exploration. - Houssem Ben Lahmar; Melanie Herschel (Inf. Syst., 2021)

Debugging Missing Answers for Spark Queries over Nested Data with Breadcrumb. - Ralf Diestelkämper; Seokki Lee; Boris Glavic; Melanie Herschel (Proc. VLDB Endow., 2021)

The ArchIBALD Data Integration Platform: Bridging Fragmented Processes in the Building Industry. - Nico Lässig; Melanie Herschel; Alexander Reichle; Carsten Ellwein; Alexander Verl (CAiSE Forum, 2022)

Provenance-based explanations: are they useful? - Sarah Oppold; Melanie Herschel (TaPP, 2022)

Trust in data engineering: reflection, framework, and evaluation methodology. - Sarah Oppold; Melanie Herschel (DEco@VLDB, 2022)

Metrics and Algorithms for Locally Fair and Accurate Classifications using Ensembles. - Nico Lässig; Sarah Oppold; Melanie Herschel (Datenbank-Spektrum, 2022)

DyHealth: Making Neural Networks Dynamic for Effective Healthcare Analytics. - Kaiping Zheng; Shaofeng Cai; Horng Ruey Chua; Melanie Herschel; Meihui Zhang 001; Beng Chin Ooi (Proc. VLDB Endow., 2022)

Progressive Entity Resolution over Incremental Data. - Leonardo Gazzarri; Melanie Herschel (EDBT, 2023)

A Dietary Nutrition-aided Healthcare Platform via Effective Food Recognition on a Localized Singaporean Food Dataset. - Kaiping Zheng; Thao Nguyen; Jesslyn Hwei Sing Chong; Charlene Enhui Goh; Melanie Herschel; Hee Hoon Lee; Beng Chin Ooi; Wei Wang 059; James Wei Luen Yip (CoRR, 2023)

Putting Co-Design-Supporting Data Lakes to the Test: An Evaluation on AEC Case Studies. - Melanie Herschel; Andreas Gienger; Anja Patricia Regina Lauer; Charlotte Stein; Lior Skoury; Nico Lässig; Carsten Ellwein; Alexander Verl; Thomas Wortmann; Cristina Tarín-Sauer (DaWaK, 2024)

FALCC: Efficiently performing locally fair and accurate classifications. - Nico Lässig; Melanie Herschel (EDBT, 2024)

FairCR - An Evaluation and Recommendation System for Fair Classification Algorithms. - Nico Lässig; Melanie Herschel; Ole Nies (ICDE, 2024)

Exploiting Negative Samples: A Catalyst for Cohort Discovery in Healthcare Analytics. - Kaiping Zheng; Horng Ruey Chua; Melanie Herschel; H. V. Jagadish; Beng Chin Ooi; James Wei Luen Yip (ICML, 2024)

Knowledge-Infused Optimization for Parameter Selection in Numerical Simulations. - Julia Meißner; Dominik Göddeke; Melanie Herschel (PAKDD (6), 2024)

Research Data Management in Simulation Science: Infrastructure, Tools, and Applications. - Bernd Flemisch; Sibylle Hermann; Melanie Herschel; Dirk Pflüger; Jürgen Pleiss; Jan Range; Sarbani Roy; Makoto Takamoto; Benjamin Uekermann (Datenbank-Spektrum, 2024)

Experimental Analysis of Multi-Step Pipelines for Fair Classifications - More than the Sum of Their Parts? - Nico Lässig; Melanie Herschel (ICDE, 2025)