Data-driven machine learning approach for predicting missing values in large data sets: A comparison study

Ogerta Elezaj, Sule Yildirim, Edlira Kalemi*

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    6 Citations (SciVal)
    Original languageEnglish
    Title of host publicationMachine Learning, Optimization, and Big Data - Third International Conference, MOD 2017, Revised Selected Papers
    EditorsGiuseppe Nicosia, Giovanni Giuffrida, Panos Pardalos, Renato Umeton
    PublisherSpringer Verlag
    Pages268-285
    Number of pages18
    ISBN (Print)9783319729251
    DOIs
    Publication statusPublished (VoR) - 2018
    Event3rd International Conference on Machine Learning, Optimization, and Big Data, MOD 2017 - Volterra, Italy
    Duration: 14 Sept 201717 Sept 2017

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume10710 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference3rd International Conference on Machine Learning, Optimization, and Big Data, MOD 2017
    Country/TerritoryItaly
    CityVolterra
    Period14/09/1717/09/17

    Keywords

    • Clustering
    • Data pre-processing
    • Decision tree
    • Hot-Deck
    • Imputation
    • Neural networks

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