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Images contain several types of noises due to belonging factors. Sensor Defects, Lens Distortion, Software Artifacts, blur etc. are the belonging factors which affects the quality of images. If you want to produce the quality of the images to be higher than the belonging factors should not be ignored. In this paper using Gradient Histogram Preservative (GHP) and Non-Local Mean filtering. GHP is developed...
Outliers are the set of observations which are different from the other observations. Outliers are generally treated as abnormality, anomaly, deviation etc. in any data. Outlier detection is one of the major task in various data mining application like pattern detection, anomaly detection etc. If outliers are not detected in data, it generates deformity in data and also provides incorrect results...
Content aggregators generally used to aggregate user's data to provide recommendation for the user about the search. In that on the basis of user's previous experience search data is recommended to the user. A brief review over the various techniques is presented in this paper, which shows that previous techniques suffers some defects which degrades performance these techniques. Thus a new technique...
The recent advancement in data mining technology to analyze vast amount of data has played an important role in several areas of Business processing. Data mining also opens new threats to privacy and information security if not done or used properly. The main problem is that from non-sensitive data, one is able to infer sensitive information, including personal information, fact or even patterns which...
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