scholarly journals An Unbalanced Data Classification Model Using Hybrid Sampling Technique for Fraud Detection

2007 ◽  
pp. 341-348 ◽  
Author(s):  
T. Maruthi Padmaja ◽  
Narendra Dhulipalla ◽  
P. Radha Krishna ◽  
Raju S. Bapi ◽  
A. Laha
Keyword(s):  
Fraud Detection ◽  
Data Classification ◽  
Sampling Technique ◽  
Classification Model ◽  
Unbalanced Data ◽  
Hybrid Sampling

scholarly journals A study secure multi authentication based data classification model in cloud based system

2020 ◽  
Vol 9 (3) ◽  
pp. 240
Author(s):  
Sakshi Kaushal ◽  
Bala Buksh
Keyword(s):  
Machine Learning ◽  
Cloud Computing ◽  
Data Classification ◽  
Classification Model ◽  
Sensitive Data ◽  
Learning Technique ◽  
Mathematical Algorithms ◽  
Encryption Algorithms ◽  
Cloud Applications ◽  
Technology Resources

Cloud computing is the most popular term among enterprises and news. The concepts come true because of fast internet bandwidth and advanced cooperation technology. Resources on the cloud can be accessed through internet without self built infrastructure. Cloud computing is effectively manage the security in the cloud applications. Data classification is a machine learning technique used to predict the class of the unclassified data. Data mining uses different tools to know the unknown, valid patterns and relationships in the dataset. These tools are mathematical algorithms, statistical models and Machine Learning (ML) algorithms. In this paper author uses improved Bayesian technique to classify the data and encrypt the sensitive data using hybrid stagnography. The encrypted and non encrypted sensitive data is sent to cloud environment and evaluate the parameters with different encryption algorithms.

scholarly journals Performance Analysis and Prediction Student Performance to build effective student Using Data Mining Techniques

2019 ◽  
Vol 3 (2) ◽  
pp. 10
Author(s):  
Ardalan Husin Awlla
Keyword(s):  
Data Mining ◽  
Performance Analysis ◽  
Student Performance ◽  
Fraud Detection ◽  
Classification Model ◽  
Data Mining Techniques ◽  
Incipient Stage ◽  
The Everyday ◽  
Using Data

In this period of computerization, schooling has additionally remodeled itself and is not restrained to old lecture technique. The everyday quest is on to discover better approaches to make it more successful and productive for students. These days, masses of data are gathered in educational databases, however it stays unutilized. To be able to get required advantages from such major information, effective tools are required. Data mining is a developing capable tool for examination and expectation. It is effectively applied in the field of fraud detection, marketing, promoting, forecast and loan assessment. However, it is in incipient stage in the area of education. In this paper, data mining techniques have been applied to construct a classification model to predict the performance of students.

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