Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
A Survey on Location Recommendation Systems Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Clustering Proficient Students Using Data Mining Approach

Authors : M. V. Ashok, A. Apoorva

Published in: Advances in Computing and Data Sciences

Publisher: Springer Singapore

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Every educational institution strives to be the best in terms of quality. Quality is measured using many parameters. One such parameter of measuring quality is proficient students. Hence the objective of this study is to Cluster proficient students of an educational institution using data mining approach. Clustering is based on knowledge, skill and ability concept known as KSA. A model and an algorithm are proposed to accomplish the task of Clustering. A student data set consisting of 1,434 students from an institution located in Bangalore are collected for the study and were subjected to preprocessing. To evaluate the performance of the proposed algorithm, it is compared with other Clustering algorithm on the basis of precision and recall. The results obtained are tabulated. The performance of the proposed algorithm was better in comparison with other algorithms.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Assembling Swarm with Limited Visibility in Presence of Line Obstacles
next chapter Designing of a Gender Based Classifier for Western Music
Literature
1.
Kim, S.Y., Jung, T.S., Suh, E.H., Hwang, H.S.: Student segmentation and strategy development based on student lifetime value: a case study. Expert Syst. Appl. 31(1), 101–107 (2006)CrossRef
2.
Shin, H.W., Sohn, S.Y.: Product differentiation and market segmentation as alternative marketing strategies. Expert Syst. Appl. 27(1), 27–33 (2004)CrossRef
3.
Jang, S.C., Morrison, A.M.T., O’Leary, J.T.: Benefit segmentation of Japanese pleasure travelers to the USA and Canada: selecting target markets based on the profitability and the risk of individual market segment. Tour. Manag. 23(4), 367–378 (2002)CrossRef
4.
Hruschka, H., Natter, M.: Comparing performance of feed forward neural nets and k-means of cluster-based market segmentation. Eur. J. Oper. Res. 114(3), 346–353 (1999)CrossRefMATH
5.
Bottou, L., Bengio, Y.: Convergence Properties of the K-Means Algorithms. In: Advances in Neural Information Processing Systems 7 (1995)
6.
Fabere, V.: Clustering and the continuous k-means algorithm. Los Alamos Sci. (1994)
7.
Bydovska, H., Popelinsky, L.: Predicting student performance in higher education. In: 2013 24th International Workshop on Database and Expert Systems Applications (DEXA), pp. 141–145. IEEE (2013)
8.
9.
Chein, C., Chen, L.: Data mining to improve personnel selection and enhance human capital: a case study in high technology industry. Expert Syst. Appl. (2006, in Press)
10.
Pal, K., Pal, S.: Analysis and mining of educational data for predicting the performance of students. (IJECCE) Int. J. Electron. Commun. Comput. Eng. 4(5), 1560–1565 (2013). ISSN: 2278-4209
11.
Khan, Z.N.: Scholastic achievement of higher secondary students in science stream. J. Soc. Sci. 1(2), 84–87 (2005)CrossRef
12.
Bharadwaj, B.K., Pal, S.: Mining educational data to analyze students’ performance. Int. J. Adv. Comput. Sci. Appl. (IJACSA) 2(6), 63–69 (2011)
13.
Bray, M.: The Shadow Education System: Private Tutoring and Its Implications for Planners, 2nd edn. UNESCO, Paris (2007)
14.
Yadav, S.K., Bharadwaj, B.K., Pal, S.: Data mining applications: a comparative study for predicting student’s performance. (IJITCE) 1(12), 13–19 (2011)
15.
Jamesmanoharan, J., Hari Ganesh, S., Felciah, M., Shafreenbanu, A.K.: Discovering students’ academic performance based on GPA using k-means clustering algorithm. In: 2014 World Congress on Computing and Communication Technologies (WCCCT), pp. 200–202. IEEE (2014)
Metadata
Title
Clustering Proficient Students Using Data Mining Approach
Authors
M. V. Ashok
A. Apoorva
Copyright Year
2017
Publisher
Springer Singapore
Book
Advances in Computing and Data Sciences

Print ISBN: 978-981-10-5426-6

Electronic ISBN: 978-981-10-5427-3

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-981-10-5427-3_8

Premium Partner

    Image Credits