Data Mining is an emerging field used in educational purposes to improve the perceptive and learning method of students. It focuses on recognizing, extracting and calculating data associated to the learning method and improving student’s performance. Mining in a learning field is known as educational information mining which is fretful with exploring latest techniques to find out knowledge from educational fields. The purpose of our study is to evaluate the performance of students by taking different attributes like academic achievements (CGPA), gender, class test grade, environment of class, Fund/Scholarships/Private etc. In our research we will use classification and clustering techniques to analyze student performance. The techniques used in our work are decision tree, Bayesian classification-mean algorithms, neural networks, naïve’s bayes, Web based system and nearest neighbor methods.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Kamran Shaukat is working as Lecturer Information Technology at University of the Punjab, Jhelum Campus. He has MS Computer Science degree with Gold Medal from Mohammad Ali Jinnah University Islamabad and BS Computer Science degree from Punjab University College of Information Technology, University of the Punjab, Lahore.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
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 -Data Mining is an emerging field used in educational purposes to improve the perceptive and learning method of students. It focuses on recognizing, extracting and calculating data associated to the learning method and improving student's performance. Mining in a learning field is known as educational information mining which is fretful with exploring latest techniques to find out knowledge from educational fields. The purpose of our study is to evaluate the performance of students by taking different attributes like academic achievements (CGPA), gender, class test grade, environment of class, Fund/Scholarships/Private etc. In our research we will use classification and clustering techniques to analyze student performance. The techniques used in our work are decision tree, Bayesian classification-mean algorithms, neural networks, naïve's bayes, Web based system and nearest neighbor methods. 56 pp. Englisch. Bestandsnummer des Verkäufers 9786202024013
Anzahl: 2 verfügbar
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Paperback. Zustand: Brand New. 56 pages. 8.66x5.91x0.13 inches. In Stock. Bestandsnummer des Verkäufers zk6202024011
Anzahl: 1 verfügbar
Anbieter: moluna, Greven, Deutschland
Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shaukat KamranKamran Shaukat is working as Lecturer Information Technology at University of the Punjab, Jhelum Campus. He has MS Computer Science degree with Gold Medal from Mohammad Ali Jinnah University Islamabad and BS Computer Sc. Bestandsnummer des Verkäufers 167895801
Anzahl: Mehr als 20 verfügbar
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Data Mining is an emerging field used in educational purposes to improve the perceptive and learning method of students. It focuses on recognizing, extracting and calculating data associated to the learning method and improving student's performance. Mining in a learning field is known as educational information mining which is fretful with exploring latest techniques to find out knowledge from educational fields. The purpose of our study is to evaluate the performance of students by taking different attributes like academic achievements (CGPA), gender, class test grade, environment of class, Fund/Scholarships/Private etc. In our research we will use classification and clustering techniques to analyze student performance. The techniques used in our work are decision tree, Bayesian classification-mean algorithms, neural networks, naïve's bayes, Web based system and nearest neighbor methods.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 56 pp. Englisch. Bestandsnummer des Verkäufers 9786202024013
Anzahl: 1 verfügbar
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Data Mining is an emerging field used in educational purposes to improve the perceptive and learning method of students. It focuses on recognizing, extracting and calculating data associated to the learning method and improving student's performance. Mining in a learning field is known as educational information mining which is fretful with exploring latest techniques to find out knowledge from educational fields. The purpose of our study is to evaluate the performance of students by taking different attributes like academic achievements (CGPA), gender, class test grade, environment of class, Fund/Scholarships/Private etc. In our research we will use classification and clustering techniques to analyze student performance. The techniques used in our work are decision tree, Bayesian classification-mean algorithms, neural networks, naïve's bayes, Web based system and nearest neighbor methods. Bestandsnummer des Verkäufers 9786202024013
Anzahl: 1 verfügbar
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Student's Performance: A Data Mining Perspective | Kamran Shaukat (u. a.) | Taschenbuch | 56 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9786202024013 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 109727743
Anzahl: 5 verfügbar