Meta tags:
author=Hazar Harmouch;
description=A personal website for Hazar Harmouch. ;
keywords=hazar, harmouch, kitqar, metanome, hpi, data profiling, data quality, ai, ml, ova;

Headings (most frequently used words):

hazar, harmouch, research, interests, news, recent, publications,

Text of the page (most frequently used words):
and (61), the (51), data (40), 2025 (34), will (26), quality (16), 2024 (14), committee (14), member (14), paper (13), serve (13), program (13), 2026 (12), for (12), accepted (12), 2023 (12), harmouch (10), with (10), hazar (9), cleaning (9), apr (9), mar (9), machine (8), learning (8), felix (8), naumann (8), sigmod (8), attending (8), may (7), journal (7), vldb (7), icde (7), university (7), come (7), say (7), our (6), sedir (6), mohammed (6), jan (6), nov (6), 2021 (6), research (6), accuracy (5), next (5), training (5), 2018 (5), aug (5), feb (5), 2022 (5), organizing (5), applications (4), prediction (4), comet (4), step (4), that (4), pdf (4), information (4), systems (4), performance (4), work (4), workshop (4), week (4), can (3), algorithms (3), edbt (3), simon (3), anna (3), article (3), test (3), also (3), dimensions (3), phd (3), oct (3), profiling (3), 2020 (3), demo (3), btw (3), jul (3), dbml (3), dec (3), utrecht (3), submission (3), deadline (3), management (3), institute (3), pipeline (2), scenarios (2), resource (2), during (2), this (2), tasks (2), recommendations (2), feature (2), under (2), its (2), importance (2), based (2), abs (2), international (2), conference (2), database (2), barcelona (2), march (2), doi (2), 5281 (2), zenodo (2), 10474880 (2), year (2), brandner (2), lou (2), therese (2), burtscher (2), felicia (2), hallensleben (2), sebastian (2), hauschke (2), andreas (2), heesen (2), jessica (2), hildebrandt (2), stefanie (2), hirsbrunner (2), david (2), keselj (2), julia (2), mahlow (2), philipp (2), massow (2), marie (2), rostalski (2), frauke (2), wilken (2), wölke (2), annika (2), author (2), glossary (2), title (2), bib (2), budach (2), lukas (2), feuerpfeil (2), moritz (2), ihde (2), nina (2), nathansen (2), andrea (2), noack (2), nele (2), sina (2), patzlaff (2), hendrik (2), effects (2), tabular (2), artificial (2), intelligence (2), require (2), large (2), only (2), such (2), regarding (2), polluted (2), discussion (2), publications (2), hpi (2), germany (2), prof (2), engineering (2), jun (2), 2019 (2), stay (2), postdoc (2), about (2), project (2), summit (2), qdb (2), track (2), november (2), assistant (2), professor (2), lab (2), netherlands (2), end (2), topic (2), manuscript (2), your (2), china (2), sep (2), interactive (2), session (2), nwo (2), ict (2), open (2), role (2), era (2), before (2), integration (2), group (2), field (2), informatics (2), amsterdam (2), copyright, powered, theme, hosted, last, updated, github, pages, folio, jekyll, prefered, contact, methods, mail, linkedin, crucial, errors, significantly, impact, underlying, model, therefore, integral, component, any, however, practical, incurs, significant, costs, often, involves, domain, experts, configuring, executing, process, thus, efficient, allocation, enhance, while, controlling, expenses, presents, system, designed, optimize, efforts, gives, which, clean, maximizing, efficiency, constraints, evaluated, across, various, datasets, error, types, demonstrating, robustness, adaptability, results, show, consistently, outperforms, random, another, well, known, method, achieving, average, percentage, points, higher, than, proposed, baselines, proceedings, 28th, extending, technology, spain, improve, records, lisa, ehrlinger, divesh, srivastava, five, facets, assessment, https, org, url, month, mohammed_2024_10474880, manual, budach2022effects, modern, quantities, need, creates, critical, challenges, not, concerning, availability, but, example, incomplete, erroneous, inappropriate, lead, unreliable, models, produce, ultimately, poor, decisions, trustworthy, high, along, many, completeness, consistency, explore, empirically, relationship, between, six, popular, covering, classification, regression, clustering, goal, explaining, their, terms, experiments, distinguish, three, steps, were, fed, both, conclude, extensive, observations, recent, started, studies, supervision, 2015, published, ieee, bulletin, 2016, experimental, survey, 2017, marked, reproducible, pvldb, reproducibility, metanome, platform, wins, prize, cikm, after, four, years, hard, handed, thesis, today, going, defended, officially, frau, sales, comparison, approach, speaking, kitqar, first, frankfurt, main, lwda, 1st, start, amesterdam, inde, 3rd, databases, conjunction, invite, contribute, expertise, federal, government, digital, jena, proposal, special, issue, titled, fairification, design, processes, bernasconi, stefano, cirillo, alberto, garcía, has, been, tuned, call, papers, jdiq, part, panel, 11th, april, please, join, diversity, inclusion, frontiers, approved, summary, september, editors, would, happy, receive, contesting, communicative, practices, organizational, structures, enabling, technologies, icde24, chile, sigmod24, qdb24, vldb24, guangzhou, one, tutorial, chairs, together, helen, huang, queensland, australia, yongxin, tong, beihang, cidr, cfp, submit, 5pm, pacific, time, meet, 15th, record, berlin, biomedical, semantics, qdb25, vldb25, london, united, kingdom, visit, waterloo, until, october, llm, lrec26, facct, montréal, canada, named, distinguished, reviewer, acm, pods, upcoming, sunday, bengaluru, india, news, similarity, search, mining, fairness, non, discrimination, privacy, interests, beyond, interested, keeping, latest, developments, constantly, looking, new, collaboration, opportunities, outside, enjoy, traveling, reading, cooking, was, hasso, plattner, potsdam, doctoral, same, worked, aim, developing, efficiently, processing, analyzing, volumes, focus, intelligent, repositories, people, teaching, projects, curriculum, vitae, bio, current, toggle, navigation,

Text of the page (random words):
hazar harmouch toggle navigation bio current curriculum vitae projects teaching publications people repositories hazar harmouch assistant professor at the informatics institute university of amsterdam i am a member of the intelligent data engineering lab at the informatics institute of the university of amsterdam netherlands my research focus is on the field of data quality for and with machine learning before that i was a postdoc at the information systems group at the hasso plattner institute university of potsdam during my doctoral research at the same group i worked in the field of data profiling with the aim of developing algorithms for efficiently processing and analyzing large volumes of data beyond my research i am also interested in keeping up with the latest developments in machine learning data management and integration i am also constantly looking for new collaboration opportunities outside of work i enjoy traveling reading cooking and training research interests data quality for ai fairness non discrimination privacy data profiling integration and cleaning data mining and machine learning similarity search news may 23 2026 upcoming sunday i will be in bengaluru india attending sigmod 26 come and say hi may 14 2026 named a distinguished reviewer at acm sigmod pods conference 2026 apr 28 2026 next week i will be in montréal canada attending icde 26 come and say hi apr 16 2026 paper accepted at facct 2026 mar 30 2026 paper accepted at kg llm lrec26 nov 16 2025 paper accepted at vldb 2026 sep 01 2025 i will be in a research visit to the university of waterloo until the end of october 2025 aug 27 2025 organizing qdb25 vldb25 in london united kingdom aug 06 2025 paper accepted at journal of biomedical semantics jun 18 2025 next week i will be in berlin attending sigmod 25 come and say hi apr 09 2025 paper accepted at sigmod record apr 09 2025 meet me in utrecht on the 15th of may at nwo ict open 2025 i co organizing an interactive session on the role of data management in the era of ai mar 18 2025 next week i will be in barcelona attending edbt 25 come and say hi mar 05 2025 paper accepted at information systems journal feb 25 2025 cfp submit your work to qdb vldb 2025 before may 16 2025 5pm pacific time feb 05 2025 paper accepted at edbt 2025 jan 31 2025 i will serve as a program committee member at vldb 2026 jan 21 2025 i will serve as a program committee member at vldb 2025 demo track jan 17 2025 i will be attending cidr 2025 next week come and say hi jan 09 2025 i will be co organizing an interactive session on the role of data management in the era of ai at nwo ict open 2025 nov 30 2024 i will serve as a program committee member at sigmod 2026 sep 06 2024 i will be one of the tutorial chairs of icde 2025 together with helen huang the university of queensland australia and yongxin tong beihang university china aug 23 2024 organizing qdb24 vldb24 in guangzhou china jul 14 2024 i will serve as a program committee member at icde 2025 may 01 2024 i will be in chile attending sigmod24 come and say hi apr 15 2024 i will be attending icde24 in utrecht come and say hi apr 14 2024 our frontiers research topic contesting artificial intelligence communicative practices organizational structures and enabling technologies is approved manuscript summary submission deadline 30 september 2024 and manuscript submission deadline 31 march 2025 my co topic editors and i would be happy to receive your work mar 22 2024 i will be part of the panel discussion diversity and inclusion and ai on the 11th of april please join us mar 07 2024 i will serve as a program committee member at btw 2025 dec 14 2023 a proposal for a special issue titled data quality dimensions in data fairification design and processes by me anna bernasconi stefano cirillo and alberto garcía simon has been accepted by the jdiq journal the submission deadline will be end of november 2024 stay tuned for the call for papers dec 14 2023 i will serve as a program committee member at sigmod 2025 nov 20 2023 i am attending the the federal government digital summit 2023 in jena germany invite only to contribute my expertise regarding data quality importance for ai applications oct 31 2023 i will serve as a program committee member of the 3rd international workshop on databases and machine learning dbml in conjunction with icde 2024 in utrecht netherlands jul 18 2023 on 1st of november i will start as an assistant professor at the university of amesterdam inde lab apr 06 2023 i will serve as a program committee member for the database track of lwda 2023 feb 09 2023 co organizing qdb workshop at vldb 2023 nov 02 2022 i am speaking about our kitqar project at the first ai quality summit frankfurt am main oct 31 2022 i will serve as a program committee member of the dbml workshop at icde 2023 may 09 2022 i will serve as a demo program committee member at btw 2023 dec 13 2021 i will serve as a program committee member of the dbml workshop at icde 2022 nov 08 2021 an article about our project sales comparison approach feb 16 2021 i will serve as a program committee member at sigmod 2022 feb 12 2021 paper accepted at icde 2021 aug 17 2020 i defended my phd and officially frau dr harmouch jul 09 2020 i will serve as a demo program committee member at btw 2021 mar 04 2020 after four years of hard work i handed in my phd thesis today i am going to stay at hpi as a postdoc with prof dr felix naumann aug 09 2019 paper accepted at cikm 2019 mar 16 2018 metanome data profiling platform wins a prize mar 16 2018 paper marked as reproducible by pvldb reproducibility committee mar 16 2018 paper accepted at vldb 2018 nov 15 2017 experimental survey accepted at vldb 2018 jun 22 2016 article published in the ieee data engineering bulletin journal oct 01 2015 i started my phd studies at hpi germany under the supervision of prof dr felix naumann recent publications the effects of data quality on machine learning performance on tabular data sedir mohammed lukas budach moritz feuerpfeil nina ihde andrea nathansen nele sina noack hendrik patzlaff felix naumann and hazar harmouch information systems journal 2025 abs bib pdf modern artificial intelligence ai applications require large quantities of training and test data this need creates critical challenges not only concerning the availability of such data but also regarding its quality for example incomplete erroneous or inappropriate training data can lead to unreliable models that produce ultimately poor decisions trustworthy ai applications require high quality training and test data along many quality dimensions such as accuracy completeness and consistency we explore empirically the relationship between six data quality dimensions and the performance of 19 popular machine learning algorithms covering the tasks of classification regression and clustering with the goal of explaining their performance in terms of data quality our experiments distinguish three scenarios based on the ai pipeline steps that were fed with polluted data polluted training data test data or both we conclude the paper with an extensive discussion of our observations article budach2022effects title the effects of data quality on machine learning performance on tabular data author mohammed sedir and budach lukas and feuerpfeil moritz and ihde nina and nathansen andrea and noack nele sina and patzlaff hendrik and naumann felix and harmouch hazar journal information systems journal year 2025 a data quality glossary sedir mohammed lou therese brandner felicia burtscher sebastian hallensleben hazar harmouch andreas hauschke jessica heesen stefanie hildebrandt simon david hirsbrunner julia keselj philipp mahlow marie massow felix naumann frauke rostalski anna wilken and annika wölke jan 2024 bib pdf manual mohammed_2024_10474880 title a data quality glossary author mohammed sedir and brandner lou therese and burtscher felicia and hallensleben sebastian and harmouch hazar and hauschke andreas and heesen jessica and hildebrandt stefanie and hirsbrunner simon david and keselj julia and mahlow philipp and massow marie and naumann felix and rostalski frauke and wilken anna and wölke annika month jan year 2024 doi 10 5281 zenodo 10474880 url https doi org 10 5281 zenodo 10474880 the five facets of data quality assessment sedir mohammed lisa ehrlinger hazar harmouch felix naumann and divesh srivastava sigmod records apr 2025 pdf step by step data cleaning recommendations to improve ml prediction accuracy sedir mohammed felix naumann and hazar harmouch in proceedings 28th international conference on extending database technology edbt 2025 barcelona spain march 25 28 2025 apr 2025 abs pdf data quality is crucial in machine learning ml applications as errors in the data can significantly impact the prediction accuracy of the underlying ml model therefore data cleaning is an integral component of any ml pipeline however in practical scenarios data cleaning incurs significant costs as it often involves domain experts for configuring and executing the cleaning process thus efficient resource allocation during data cleaning can enhance ml prediction accuracy while controlling expenses this paper presents comet a system designed to optimize data cleaning efforts for ml tasks comet gives step by step recommendations on which feature to clean next maximizing the efficiency of data cleaning under resource constraints we evaluated comet across various datasets ml algorithms and data error types demonstrating its robustness and adaptability our results show that comet consistently outperforms feature importance based random and another well known cleaning method achieving up to 52 and on average 5 percentage points higher ml prediction accuracy than the proposed baselines prefered contact methods e mail and linkedin copyright 2026 hazar harmouch powered by jekyll with al folio theme hosted by github pages last updated may 23 2026