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2024 | OriginalPaper | Chapter

Data Mining Techniques: A Survey and Comparative Analysis in Vehicular Ad Hoc Networks

Authors : Deepak Kumar Mishra, Kapil Sharma, Sanjiv Sharma, Abhishek Singhal

Published in: ICT: Applications and Social Interfaces

Publisher: Springer Nature Singapore

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Abstract

Vehicular Ad hoc Networks (VANETs) are highly mobile wireless networks that play a crucial role in public safety dispatches and commercial operations. Recent advancements in VANETs have enabled the integration of data generated from these networks into smart operations, providing quality of life services. Data mining is a process that involves extracting valuable patterns and information from data. One promising area of research involves applying data mining techniques to VANETs to extract useful patterns. This paper presents an overview of basic data mining techniques, including pre-processing, outlier detection, clustering, and data ordering. Additionally, this paper describes the most commonly used classification and clustering techniques, comparing them based on their strengths and weaknesses.

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Abdulrazzak HN, Hock GC, Radzi NA, Tan NML, Kwong CF (2022) Modeling and analysis of new hybrid clustering technique for vehicular Ad Hoc Network. Mathematics. https://doi.org/10.3390/math10244720CrossRef

Anshu (2019) Review paper on data mining techniques and applications. Int J Innov Res Comput Sci & Technol (IJIRCST), 7(2). ISSN: 2347–5552. https://doi.org/10.21276/ijircst.2019.7.2.4

Bijalwan A, Purohit KC, Preeti Malik P, Mohit Mittal M (2022) A Self-Adaptable Angular Based K-Medoid Clustering Scheme (SAACS) for Dynamic VANETs. Electronics 11:3071. https://doi.org/10.3390/electronics11193071CrossRef

Cooper C, Frankliny D, Rosz M, Safaei F, Abolhasany M (2016) A comparative survey of VANET clustering techniques. IEEE

Gorade SM, Deo A, Purohit P (2017) A study of some data mining classification techniques. Int Res J Eng Technol (IRJET), 4(4)

Gupta SB, Yadav R, Gupta S (2020) A systematic comparative analysis of clustering techniques. Appl Comput Syst 25(2):87–104. https://doi.org/10.2478/acss-2020-0011

Hajlaoui R, Alsolami E, Tarek Moulahi T, Guyennet H (2018) An adjusted K-medoids clustering algorithm for effective stability in vehicular ad hoc networks. Wiley. https://doi.org/10.1002/dac.3995CrossRef

Han J, Kamber M (2006) Data mining: Concepts and techniques, 2nd edn. Morgan Kaufmann Publishers, San Francisco, CA, USA (2006). Elsevier

Harrabi S, Jaafar IB, Khaled Ghedira K (2017) Message dissemination in vehicular networks on the basis of agent technology. Springer. https://doi.org/10.1007/s11277-017-4467-xCrossRef

10.

Ishtiaq A, Ahmed S, Khan MF, Aadil F, Maqsood M, Khan S (2019) Intelligent clustering using moth flame optimizer for vehicular ad hoc networks. Int J Distrib Sens Netw 15(1). SAGE

11.

Khassawneh YAAL, Salim NN (2012) On the use of data mining techniques in vehicular Ad Hoc network, AMLTA 2012, CCIS 322, pp 449–462. Springer-Verlag Berlin, Heidelberg

12.

Mishra A, Gupta BB, Perakovic D, Penelvo FJG (2021) A survey on data mining classification approaches. In: International conference on smart systems and advanced computing (Syscom)

13.

Mishra DK, Sharma K (2021) A trust-based framework to reduce message dissemination latency using CFC model for internet of vehicle. In: Tiwari A et al (eds) Soft computing for problem solving, advances in intelligent systems and computing, vol 1393. Springer Nature, Singapore. https://doi.org/10.1007/978-981-16-2712-5_38

14.

Mohanty A, Mahapatra S, Bhanja U (2019) Traffic congestion detection in a city using clustering techniques in VANETs. Indones J Electr Eng Comput Sci, 13(3):884–891. ISSN: 2502–4752. https://doi.org/10.11591/ijeecs.v13.i3.pp884-891

15.

Mukhtaruzzaman M, Atiquzzaman M (2020) Clustering in vehicular ad hoc network: Algorithms and challenges, Computers and Electrical Engineering 88. Elsevier Ltd. https://doi.org/10.1016/j.compeleceng.2020.106851CrossRef

16.

Mythili A, Mahendran SK (2017) Presentation study of different data collection levels, data schemes and mining techniques used in Vanet. Int J Inf Res Rev 04(04): 4019–4023

17.

Najada HA, Mahgoub I (2016) Big vehicular traffic data mining: towards accident and congestion prevention. IEEE

18.

Najat B, Salah EH (2018) Comparative study of classification algorithms for big data in VANET. In: International Conference on Advances in Computing and Communication Engineering (ICACCE-2018) Paris, France, IEEE

19.

Patel R., Thakkar A, Ganatra A (2012) A survey ad comparative analysis of data mining techniques for network intrusion detection systems. Int J Soft Comput Eng (IJSCE), 2(1). ISSN: 2231–2307

20.

Shah SS, Malik AW, Rahman AU, Iqbal S, Khan SU (2019) Time barrier-based emergency message dissemination in vehicular ad-hoc networks. IEEE. https://doi.org/10.1109/ACCESS.2019.2895114CrossRef

21.

Sharma K, Rajpoot M, Sharma LK (2011) Nearest neighbour classification for wireless sensor network data. Int J Comput Trends Technol, 2

22.

Zamil Mal, Samarah S (2018) Applications of data mining techniques for vehicular Ad hoc networks

23.

Zhao H, He C, Cheng H, Ren X, Zhu X, Zhu H (2019) Clustering algorithm in vehicular communication based on Fuzzy C-Means. In: International conference on consumer electronics, Taiwan (ICCE-TW), IEEE

Title: Data Mining Techniques: A Survey and Comparative Analysis in Vehicular Ad Hoc Networks
Authors: Deepak Kumar Mishra
Kapil Sharma
Sanjiv Sharma
Abhishek Singhal
Publisher: Springer Nature Singapore
Book: ICT: Applications and Social Interfaces
Print ISBN: 978-981-9702-09-1

Electronic ISBN: 978-981-9702-10-7

Copyright Year: 2024
DOI: https://doi.org/10.1007/978-981-97-0210-7_20

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