C5.0 Classification over Encrypted Rational Data
| Author(s) | : | Ms. Supriya Borse, Drs. Mrs. Neeta Deshpande |
| Institution | : | M. E. II (Comp. Dept.) |
| Published In | : | Vol. 4, Issue 7 — July 2017 |
| Page No. | : | 372-379 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Cloud itself is secure but when the data is outsource, it needs more security. Encryption is one of the techniqueto secure cloud data. Before outsourcing the data to cloud, we have encrypted it using Paillier Cryptosystem at the serverside and then classification techniques are applied. Data Mining is used in many applications such as banking, medicine,scientific research and among government agencies. Classification is one of the commonly used tasks in data miningapplications. Data stored on the cloud in encrypted form is classified to decrease the memory requirement, improve theefficiency of the system. There are many classification algorithms such as K-NN, C5.0, SVM, Naive Bayes, Random Forest.we have proposed C5.0 classifier using privacy preserving protocol(PPC5.0), which improves the performance of thesystem
Ms. Supriya Borse, Drs. Mrs. Neeta Deshpande, “C5.0 Classification over Encrypted Rational Data”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 7, pp. 372-379, July 2017.
