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:
Design of High-Speed LVDS Data Communication Link Using FPGA Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Privacy-Preserving Associative Classification

Authors : Garach Priyanka, Patel Darshana, Kotecha Radhika

Published in: Information and Communication Technology for Intelligent Systems (ICTIS 2017) - Volume 2

Publisher: Springer International Publishing

Log in

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

search-config
loading …

Abstract

The massive amount of data, if publicly available, can be stored and shared securely for analysis and advancement. Mining of association rule besides classification technique is skilled of discovering useful patterns from big datasets. This technique results in the if-then form of rules and these rules are simple for end users to understand and easy for prediction. But it is apparent that the gathering and analysis of such data causes a serious menace to confidentiality and freedom. Hence, it interprets a field of privacy-preservation of data mining, which deals with efficient conduction and application of data mining without scarifying the privacy of data. This paper puts effort on the construction of class association rules generated by associative classification and applying privacy-preserving techniques on these rules to prevent its disclosure to the uncertified population.

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 Improved Parallel Rabin-Karp Algorithm Using Compute Unified Device Architecture
next chapter Reverse Engineering of Botnet (APT)
Literature
1.
Han, J., Pei, J., Kamber, M.: Data Mining: Concepts and Techniques. Elsevier, Amsterdam (2011)MATH
2.
Fu, Y.: Data mining: tasks, techniques, and applications. IEEE Potentials 16, 18–20 (1997)CrossRef
3.
Krawczyk, B.: Learning from imbalanced data: open challenges and future directions. Prog. Artif. Intell. 5, 221–232 (2016)CrossRef
4.
Yang, Q., Wu, X.: 10 Challenging problems in data mining research. Int. J. Inf. Technol. Decis. Mak. 5, 597–604 (2006)CrossRef
5.
Gupta, M., Aggarwal, N.: Classification techniques analysis. In: National Conference on Computational Instrumentation, Chandigarh, pp. 128–131 (2010)
6.
Nikam, S.S.: A comparative study of classification techniques in data mining algorithms. Orient. J. Comput. Sci. Technol. 8, 13–19 (2015)
7.
Thabthah, F.: A review of associative classification mining. Knowl. Eng. Rev. 22, 37–65 (2007)CrossRef
8.
Agrawal, R., Imieliński, T., Swami, A.: Mining association rules between sets of items in large databases. In: SIGMOD Record, vol. 22, pp. 207–216. ACM, New York (1993)
9.
Li, W., Han, J., Pei, J.: CMAR: accurate and efficient classification based on multiple class-association rules. In: Proceedings of the 2001 IEEE International Conference on Data Mining, pp. 369–376. IEEE (2001)
10.
Yin, X., Han, J.: CPAR: classification based on predictive association rules. In: Proceedings of the SIAM International Conference on Data Mining, pp. 369–376. SIAM, San Francisco (2003)
11.
Sasirekha, D., Punitha, A.: A comprehensive analysis on associative classification in medical datasets. Indian J. Sci. Technol. 8, 1–9 (2015)
12.
Liu, B., Hsu, W., Ma, Y.: Integrating classification and association rule mining. In: Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining, pp. 80–86. AAAI, New York (1998)
13.
Chien, Y.W.C.: Mining associative classification rules with stock trading data—a GA-based method. Knowl. Based Syst. 23, 605–614 (2010)CrossRef
14.
Neda, A., Aladdin, A., Thabthah, F.: Phishing detection based associative classification data mining. Sci. Direct 41(13), 5948–5959 (2014)
15.
Thabthah, F.: Multiple labels associative classification. Knowl. Inf. Syst. 9(1), 109–129 (2006)CrossRef
16.
Nayak, G., Devi, S.: A survey on privacy preserving data mining: approaches and techniques. Int. J. Eng. Sci. Technol. 3, 2127–2133 (2011)
17.
Vaghashia, H., Ganatra, A.: A survey: privacy preservation techniques in data mining. Int. J. Comput. Appl. 119, 20–26 (2015)
18.
Saranya, K., Premalatha, K., Rajasekar, S.S.: A survey on privacy preserving data mining. In: 2nd IEEE International Conference on Electronics and Communication System, pp. 1740–1744 (2015)
19.
20.
Segrera, S., Moreno, M.: Classification based on association rules for adaptive web systems. Innov. Hybrid Intell. Syst. 44, 446–453 (2007)CrossRef
Metadata
Title
Privacy-Preserving Associative Classification
Authors
Garach Priyanka
Patel Darshana
Kotecha Radhika
Copyright Year
2018
Book
Information and Communication Technology for Intelligent Systems (ICTIS 2017) - Volume 2

Print ISBN: 978-3-319-63644-3

Electronic ISBN: 978-3-319-63645-0

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-63645-0_27

Premium Partner

    Image Credits