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  1. ADF ADF Public

    Adaptive Decision Forest(ADF) is an incremental machine learning framework called to produce a decision forest to classify new records. ADF is capable to classify new records even if they are assoc…

    Java 3

  2. FEMI FEMI Public

    FEMI (Fuzzy Clustering-based Missing Value Imputation Framework) for data preprocessing. FEMI imputes numerical and categorical missing values by making an educated guess based on records that are …

    Java

  3. DMI DMI Public

    DMI Class implements the DMI imputation algorithm for imputing missing values in a dataset from Rahman, M. G., and Islam, M. Z. (2013): Missing Value Imputation Using Decision Trees and Decision Fo…

    Java

  4. CAIRAD CAIRAD Public

    CAIRAD class implements the CAIRAD techique for detecting noisy values in a dataset for Weka

    Java 2

  5. SiMI SiMI Public

    SiMI imputes numerical and categorical missing values by making an educated guess based on records that are similar to the record having a missing value. Using the similarity and correlations, miss…

    Java

  6. LFD LFD Public

    LFD is a data-driven discretization technique that does not require any user input. LFD uses low frequency values as cut points and thus reduces the information loss due to discretization. It uses …

    Java 1