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.
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Ha più di 13 anni di esperienza nell'insegnamento dell'informatica e della tecnologia dell'informazione a livello UG e PG - Ha un'esperienza di ricerca di circa 10 anni, compreso il dottorato di ricerca. - Ha pubblicato oltre 100 articoli di ricerca in atti di conferenze e riviste di riferimento e ha pubblicato 5 libri nell'area del Data Mining e del Machine Learning.
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Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 52 pp. Englisch. Bestandsnummer des Verkäufers 9783659753138
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Pani Subhendu- 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 referre. Bestandsnummer des Verkäufers 151428620
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch. Bestandsnummer des Verkäufers 9783659753138
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Bestandsnummer des Verkäufers 9783659753138
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Taschenbuch. Zustand: Neu. Missing Values in Data Mining | Subhendu Pani | Taschenbuch | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783659753138 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 113180179
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