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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 5

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