Publications

Publications sorted by year.

2025

  1. KDD
    A Hands-on Tutorial on Time Series Imputation with ImputeGAP
    Quentin Nater, Mourad Khayati, and Philippe Cudré-Mauroux
    In Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD, Toronto, ON, Canada, August 3-7, 2025
  2. VLDBJ
    A Survey of Multimodal Event Detection based on Data Fusion
    Manuel Mondal, Mourad Khayati, Hông-Ân Sandlin, and 1 more author
    VLDB J., 2025
  3. ICDE
    A-DARTS: Stable Model Selection for Data Repair in Time Series
    Mourad Khayati, Guillaume Chacun, Zakhar Tymchenko, and 1 more author
    In 41st IEEE International Conference on Data Engineering, ICDE, Hong Kong, May 19-23, 2025
  4. ImputeGAP: A Comprehensive Library for Time Series Imputation
    Quentin Nater, Mourad Khayati, and Jacques Pasquier
    CoRR, 2025

2024

  1. PVLDB
    SEER: An End-to-End Toolkit for Benchmarking Time Series Database Systems in Monitoring Applications
    Luca Althaus, Mourad Khayati, Abdelouahab Khelifati, and 3 more authors
    Proc. VLDB Endow., 2024
  2. PVLDB
    ImputeVIS: An Interactive Evaluator to Benchmark Imputation Techniques for Time Series Data
    Mourad Khayati, Quentin Nater, and Jacques Pasquier
    Proc. VLDB Endow., 2024

2023

  1. PVLDB
    TSM-Bench: Benchmarking Time Series Database Systems for Monitoring Applications
    Abdelouahab Khelifati, Mourad Khayati, Anton Dignös, and 2 more authors
    Proc. VLDB Endow., 2023

2021

  1. ICDE
    VADETIS: An Explainable Evaluator for Anomaly Detection Techniques
    Abdelouahab Khelifati, Mourad Khayati, Philippe Cudré-Mauroux, and 3 more authors
    In 37th IEEE International Conference on Data Engineering, ICDE 2021, Chania, Greece, April 19-22, 2021, 2021
  2. WWW
    Peer Grading the Peer Reviews: A Dual-Role Approach for Lightening the Scholarly Paper Review Process
    Ines Arous, Jie Yang, Mourad Khayati, and 1 more author
    In WWW ’21: The Web Conference, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021

2020

  1. KAIS
    Scalable recovery of missing blocks in time series with high and low cross-correlations
    Mourad Khayati, Philippe Cudré-Mauroux, and Michael H. Böhlen
    Knowl. Inf. Syst., 2020
  2. PVLDB
    ORBITS: Online Recovery of Missing Values in Multiple Time Series Streams
    Mourad Khayati, Ines Arous, Zakhar Tymchenko, and 1 more author
    Proc. VLDB Endow., 2020
  3. PVLDB
    Mind the Gap: An Experimental Evaluation of Imputation of Missing Values Techniques in Time Series
    Mourad Khayati, Alberto Lerner, Zakhar Tymchenko, and 1 more author
    Proc. VLDB Endow., 2020
  4. WWW
    OpenCrowd: A Human-AI Collaborative Approach for Finding Social Influencers via Open-Ended Answers Aggregation
    Ines Arous, Jie Yang, Mourad Khayati, and 1 more author
    In WWW ’20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

2019

  1. BigData
    Accuracy Evaluation of Overlapping and Multi-Resolution Clustering Algorithms on Large Datasets
    Artem Lutov, Mourad Khayati, and Philippe Cudré-Mauroux
    In IEEE International Conference on Big Data and Smart Computing, BigComp 2019, Kyoto, Japan, February 27 - March 2, 2019, 2019
  2. BigData
    CORAD: Correlation-Aware Compression of Massive Time Series using Sparse Dictionary Coding
    Abdelouahab Khelifati, Mourad Khayati, and Philippe Cudré-Mauroux
    In 2019 IEEE International Conference on Big Data (IEEE BigData), Los Angeles, CA, USA, December 9-12, 2019, 2019
  3. BigData
    DAOC: Stable Clustering of Large Networks
    Artem Lutov, Mourad Khayati, and Philippe Cudré-Mauroux
    In 2019 IEEE International Conference on Big Data (IEEE BigData), Los Angeles, CA, USA, December 9-12, 2019, 2019
  4. ICDE
    RecovDB: Accurate and Efficient Missing Blocks Recovery for Large Time Series
    Ines Arous, Mourad Khayati, Philippe Cudré-Mauroux, and 3 more authors
    In 35th IEEE International Conference on Data Engineering, ICDE 2019, Macao, China, April 8-11, 2019, 2019
  5. Book
    Online Anomaly Detection over Big Data Streams
    Laura Rettig, Mourad Khayati, Philippe Cudré-Mauroux, and 1 more author
    In Applied Data Science - Lessons Learned for the Data-Driven Business, 2019

2018

  1. BigData
    StaTIX - Statistical Type Inference on Linked Data
    Artem Lutov, Soheil Roshankish, Mourad Khayati, and 1 more author
    In IEEE International Conference on Big Data (IEEE BigData 2018), Seattle, WA, USA, December 10-13, 2018, 2018
  2. ICDM
    Clubmark: A Parallel Isolation Framework for Benchmarking and Profiling Clustering Algorithms on NUMA Architectures
    Artem Lutov, Mourad Khayati, and Philippe Cudré-Mauroux
    In 2018 IEEE International Conference on Data Mining Workshops, ICDM Workshops, Singapore, Singapore, November 17-20, 2018, 2018

2017

  1. FashionBrain Project: A Vision for Understanding Europe’s Fashion Data Universe
    Alessandro Checco, Gianluca Demartini, Alexander Löser, and 7 more authors
    CoRR, 2017

2016

  1. ScienceWISE: Topic Modeling over Scientific Literature Networks
    Andrea Martini, Artem Lutov, Valerio Gemmetto, and 11 more authors
    CoRR, 2016

2015

  1. BigData
    Online anomaly detection over Big Data streams
    Laura Rettig, Mourad Khayati, Philippe Cudré-Mauroux, and 1 more author
    In 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29 - November 1, 2015, 2015
  2. SSTD
    Using Lowly Correlated Time Series to Recover Missing Values in Time Series: A Comparison Between SVD and CD
    Mourad Khayati, Michael H. Böhlen, and Philippe Cudré-Mauroux
    In Advances in Spatial and Temporal Databases - 14th International Symposium, SSTD 2015, Hong Kong, China, August 26-28, 2015. Proceedings, 2015

2014

  1. GI
    Missing Value Imputation in Time Series Using Top-k Case Matching
    Kevin Wellenzohn, Hannes Mitterer, Johann Gamper, and 2 more authors
    In Proceedings of the 26th GI-Workshop Grundlagen von Datenbanken, Bozen-Bolzano, Italy, October 21st to 24th, 2014, 2014
  2. ICDE
    Memory-efficient centroid decomposition for long time series
    Mourad Khayati, Michael H. Böhlen, and Johann Gamper
    In IEEE 30th International Conference on Data Engineering, Chicago, ICDE 2014, IL, USA, March 31 - April 4, 2014, 2014

2012

  1. JMEI
    Similarity of chemotherapy histories based on imputed values
    Mourad Khayati, Jay Martin Anderson, Michael H. Böhlen, and 2 more authors
    Int. J. Medical Eng. Informatics, 2012
  2. COMAD
    REBOM: Recovery of Blocks of Missing Values in Time Series
    Mourad Khayati and Michael H. Böhlen
    In Proceedings of the 18th International Conference on Management of Data, COMAD 2012, 2012, Pune, India, 2012

2008

  1. JIIDS
    Incremental approach for Continuous k-Nearest Neighbours queries on road
    Mourad Khayati and Jalel Akaichi
    Int. J. Intell. Inf. Database Syst., 2008