Visual analysis of leading Cancer sites using SPSS Software

Authors

  • Manikanta V SRP-Technical (CIIL), Bharathiar University, Coimbatore, Tamilnadu, India
  • Yethiraj NG Department of Computer Science, Maharani‟s Science College for Women, Bangalore, India

Keywords:

Visualizatio, Cancer, data mining, SPSS

Abstract

Many diseases are arising depending upon the environment, culture, life style, etc. In many Diseases, Multiple types of cancer are increased in various region based on mouth, breast, cervix uteri, ovary, gall bladder, NHL, thyroid, Brain, Stomach, etc. Human of each organ is depending of the cell functionality. Each cell functionality is works our daily foods of sweet, sour, salty, etc. In our country many medical research centers are involved many research areas of Tuberculosis, Cancer, Diabetes, etc. Leading cancer sites data is one of the big tasks to region wise, gender wise, age wise, etc. The study of leading sites of cancer in various region wise, gender wise, age wise are easy to find the avoid the cancer to protect with any immediate solution. Visual analysis of data is easily exploring the details of Cancer leading site and analysis describes to how it is important to save our country for immediate treatment procedure

References

[1] S. Krishnaveni ans Dr. M. Hemalatha, “A perspective analysis of Traffic Accident Using Data Mining Techniques”, International Journal of Computer Application.

[2] Jusoh Shaidah and Alfawareh Hejab M., “Techniques Applications and Challenging Issue in Text Mining uses, Applications”, IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 6, No 2, November 2012 .

[3] Aarti Sharma, Rahul Sharma, Vivek Kr. Sharma, Vishal Shrivastava, “Application of Data Mining – Computer Science and Information Technologies”, Vol. 5, Issue 2, Pg. no. 2023-2025. 2014.

[4] A Multimodal SVM Approach for Fused Biometric Recognition Geethu S Kumar Jyothirmati Devi Department of Computer Science and Engineering College of Engineering , Chengannur, Kerala.

[5] D. Barbara, J. Couto, S. Jajodia, L. Popyack, and N. Wu, “ADAM: Detecting intrusions by data mining,” in Proc. 2nd Annu. IEEE Workshop Inf. Assur.Secur., New York, Jun. 2001, pp. 11-16.

[6] Mohammad Khubeb Siddiqui and Shams Naahid, “Analysis of KDD CUP 99 dataset using Clustering based Data Mining”, International Journal of Database Theory and Application, Vol. 6, No.5, 2013, pp. 23-34

[7] Sarfraz Ahmed, “Global cancer statistics,” CA Cancer Journal for Clinicians, vol. 61, no. 2, pp. 69–90, 2011.

[8] Xingquan Zhu, Ian Davidson, “Knowledge Discovery and Data Mining: Challenges and Realities”, ISBN 978- 1-59904- 252, Hershey, New York, 2007.

[9] Lior Rokach and Oded Maimon,“Data Mining with Decision Trees: Theory and Applications(Series in Machine Perception and Artificial Intelligence)”, ISBN: 981-2771- 719, World Scientific Publishing Company, , 2008.

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Published

2025-11-25

How to Cite

[1]
V. Manikanta and N. Yethiraj, “Visual analysis of leading Cancer sites using SPSS Software”, Int. J. Comp. Sci. Eng., vol. 7, no. 9, pp. 38–46, Nov. 2025.