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Research ArticleOpen accessA framework to Deal with Missing Data in Data SetsLuai A. Shalabi, Mohannad Najjar, Ahmad A. KayedMost information systems usually have some missing values due to unavailable data. Missing values minimizing the quality of classification rules generated by a data mining system. Missing vales also affecting the quantity of classification rules achieved by the data mining system. Missing values could influence the coverage percentage and number of reducts generated. Missing values lead to the difficulty of … …Journal of Computer Science, Vol. 2, Issue 9 · 30 Sep 2006 · 7,134 accessesView PDFCite
Research ArticleOpen accessData Mining: A Preprocessing EngineLuai A. Shalabi, Zyad Shaaban, Basel KasasbehThis study is emphasized on different types of normalization. Each of which was tested against the ID3 methodology using the HSV data set. Number of leaf nodes, accuracy and tree growing time are three factors that were taken into account. Comparisons between different learning methods were accomplished as they were applied to each normalization method. A new matrix was designed … …Journal of Computer Science, Vol. 2, Issue 9 · 30 Sep 2006 · 34,390 accessesView PDFCite