Cloud computing is most widely used in many companies now a days. Cloud means services available and provided in the web. Security plays a major role in cloud computing to store the various forms of data. Providing quality of security for the cloud storage data is very important. Many cloud providing service companies takes various steps to secure the data. In this paper, the integrated triple type security system is provided for the cloud data. The proposed three way security system provides the encryption to the data uploaded by the data owner and if the user wants to download the available data with encryption key sent by the data owner and decryption key sent by the cloud service provider then the verification of the user can be done by the cloud admin. In this way, the three way data security is implemented.
In machine learning as the dimensionality of the data rises, the amount of data required to provide a reliable analysis grows exponentially. To perform dimensionality reduction on high-dimensional micro array data, many different feature selection and feature extraction methods exist and they are being widely used. All these methods aim to remove redundant and irrelevant features so that classification of new instances will be more accurate. Analyzing microarrays can be difficult due to the size of the data they provide. In addition the complicated relations among the different genes make analysis more difficult and removing excess features can improve the quality of the results. Feature selection has been an active and fruitful field of research area in pattern recognition, machine learning, statistics and data mining communities. The main objective of this paper is feature selection is to choose a subset of input variables by eliminating features.
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