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Collaborative Analysis of Cancer Patient Data using Rapid Miner
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 145 - Number 2 |
| Year of Publication: 2016 |
| Authors: Priyanka Jain, Santosh Kr. Vishwakarma |
10.5120/ijca2016910564
|
Priyanka Jain, Santosh Kr. Vishwakarma . Collaborative Analysis of Cancer Patient Data using Rapid Miner. International Journal of Computer Applications. 145, 2 ( Jul 2016), 8-13. DOI=10.5120/ijca2016910564
Abstract
Breast cancer is one amongst the leading cancers for ladies in developed countries including Asian nation. It is the second most typical explanation for cancer death in women. The high incidence of breast cancer in women has redoubled considerably within the last years. In this paper discussion on varied data processing approaches that are used for carcinoma identification and prognosis. Carcinoma Diagnosis is identifying of benign from malignant breast lumps and carcinoma Prognosis predicts once Breast Cancer is to recur in patients that have had their cancers excised. This study paper summarizes various review and technical articles on carcinoma identification and prognosis additionally tend to concentrate on current analysis being dole out victimisation the info mining techniques to boost the breast cancer identification and prognosis.
References
- Abdelghani Bellaachia, Erhan Guven, “Predicting Breast Cancer Survivability Using Data Mining Techniques”, The George Washington University, Washington DC 20052
- Shweta Kharya, “USING DATA MINING TECHNIQUES FOR DIAGNOSIS AND PROGNOSIS OF CANCER DISEASE”, International Journal of Computer Science, Engineering and Information Technology (IJCSEIT), Vol.2, No.2, April 2012
- G. Ravi Kumar, Dr. G. A. Ramachandra, K.Nagamani, “An Efficient Prediction of Breast Cancer Data using Data Mining Techniques”, International Journal of Innovations in Engineering and Technology (IJIET)
- A.PRIYANGA, Dr.S.PRAKASAM, “The Role of Data Mining-Based Cancer Prediction system (DMBCPS) in Cancer Awareness”, International Journal of Computer Science and Engineering Communications- IJCSEC. Vol.1 Issue.1, December 2013
- Shelly Gupta, Dharminder Kumar, Anand Sharma “Data Mining Classification Techniques Applied For Breast Cancer Diagnosis And Prognosis”, Indian Journal Of Computer Science And Engineering (Ijcse)
- Michael Gamon, Anthony Aue, Simon Corston-Oliver, and Eric Ringger :Natural Language Processing, Microsoft Research, Redmond, WA 98052, USA “Pulse: Mining Customer Opinions from Free Text”
- Minqing Hu and Bing Liu Department of Computer Science from University of Illinois at Chicago 851 South Morgan Street Chicago, IL 60607-7053 “Mining and Summarizing Customer Reviews.”
- Handbook of Natural Language Processing, Second Edition, edited by Nitin Indurkhya, Fred J. Damerau
- Data Mining Methods for the Content Analyst. By Kalev Leetaru.
- Data Mining Techniques, Tenth Edition by Arun K Pujari.
- Data Mining Concepts and techniques, Third Edition by Kamber.
- RapidMiner.com – Provides details of the RapidMiner Mining Tool and user manual
- Data Mining Concepts and techniques, Third Edition by Kamber – Provides good description of data mining concepts and techniques used in this work.
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