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:
Airshed of a Typical Highly Industrialized Suburb of an Indian City: Air Quality Modeling and Forecasting Read chapter Read first chapter

2020 | OriginalPaper | Chapter

Improving the Performance of Classification Algorithms with Supervised Filter Discretization Using WEKA on NSL-KDD Dataset

Authors : Shailesh Singh Panwar, Y. P. Raiwani

Published in: Advances in Air Pollution Profiling and Control

Publisher: Springer Singapore

Log in

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

search-config
loading …

Abstract

Naive Bayes and Bayes net are critical classification method for data mining and have built up important software tools for the classification, description, and generalization of information. All classification algorithms are open sources, which are implemented in Java (C4.5 algorithms) for WEKA software tool. This paper exhibits the strategy for increasing the performance of Naive Bayes and Bayes net algorithms with supervised filter discretization. We have used the supervised filter discretization on these two classification algorithms and compared the result with and without discretization. The outcomes acquired from experiment showed significant improvement over the existing classification 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 Impact of Speed Breakers on Air Contamination and Mileage of Vehicles
next chapter Noise Control Mechanisms for Industry Operations—A Review
Literature
Agrawal G. L., & Gupta, H. (2013, March). Optimization of C4.5 decision tree algorithm for data mining application. International Journal of Emerging Technology and Advanced Engineering, 3(3).
Ashwinkumar U. M., & Anandakumar K. R. (2011). Predicting early detection of cardiac and diabetes symptoms using data mining techniques, pp. 161–165.
Fayyad U. M., & Irani, K. B. (1993). Multi-interval discretization of continuous-valued attributes for classification learning. In Thirteenth International Joint Conference on Artificial Intelligence (Vol. 2, pp. 1022–1027). Morgan Kaufmann Publishers.
Gama, J., & Pinto, C. (2006). Discretization from data streams: Applications to histograms and data mining. In Proceedings of the 2006 ACM Symposium on Applied Computing, SAC, New York, NY, USA, pp. 662–667.
Kantardzic, M. (2003). Data mining: Concepts, models, methods, and algorithms. Wiley. ISBN: 0471228524.
Kononenko, I. (1995). On biases in estimating multivalve attributes. In 14th International Joint Conference on Artificial Intelligence, pp. 1034–1040.
Liu, Y., & Xie, N. (2010). Improved ID3 algorithm. In 3rd IEEE International Conference on Computer Science and Information Technology (ICCSIT).
Mitra, S., & Acharya, T. (2003). Data mining multimedia, soft computing, and bioinformatics. Wiley.
Raiwani, Y. P., & Panwar, S. S. (2015). Data Reduction and Neural Networking Algorithms to Improve Intrusion Detection System with NSL-KDD Dataset. International Journal of Emerging Trends & Technology in ComputerScience (IJETTCS), 4(1), 219–225.
Robu, R., & Hora, C. (2012). Medical data mining with extended WEKA. In 2012 IEEE 16th International Conference on Intelligent Engineering Systems (INES), June 13–15, 2012, pp. 347–350.
Salama, G. I., Abdelhalim, M. B., & Zeid, M. A. (2012). Experimental comparison of classifiers for breast cancer diagnosis. In Seventh International Conference Computer Engineering & Systems (ICCES), November 27–29, pp. 180, 185.
Tusar, T. (2007). Optimizing accuracy and size of decision trees. Ljubljana, Slovenia: Department of Intelligent Systems, JozefStefan Institute.
Yi, W., Duan, J., & Lu, M. (2011). Optimization of decision tree based on variable precision rough set. In International Conference on Artificial Intelligence and Computational Intelligence.
Metadata
Title
Improving the Performance of Classification Algorithms with Supervised Filter Discretization Using WEKA on NSL-KDD Dataset
Authors
Shailesh Singh Panwar
Y. P. Raiwani
Copyright Year
2020
Publisher
Springer Singapore
Book
Advances in Air Pollution Profiling and Control

Print ISBN: 978-981-15-0953-7

Electronic ISBN: 978-981-15-0954-4

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-981-15-0954-4_16