Missing Values in Data Mining

ISBN-13: 9783659753138 / Angielski / Miękka / 2017 / 52 str.

Subhendu Pani

Opis

The effect of missing values on data classification is studied. A comparative analysis of data classification accuracy in different scenarios is presented. Several search techniques are considered in the study for feature selection and are applied to pre-process the dataset. The predictive performances of popular classifiers are compared quantitatively. The dataset is drawn from a breast cancer detection-decision context available at UCI machine learning repository. After analysing the experimental results,the work establishes the general concept of improved classification accuracy using missing values replacement.

O autorze

- Has 13+ years of experience in teaching computer and information technology at UG and PG level.- Has research experience of around 10 years including PhD study. - Published over 100 research articles/papers in referred conference proceedings and journal.He has also published 5 Books in the area of Data Mining and Machine Learning.