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RISClass imbalance handling using wrapper-based random oversampling
therefore a large amount of research is being done. The problem is tackled by preprocessing the data using wrapper-based random oversampling. Wrapper is a preprocessing approach that makes use of system (classifier) feedback to guide preprocessing...
Visible-nir Infrared Spectroscopy for Pomegranate Fruit Quality Assessment: Chemometrics and Common Preprocessing Methods
In this study the feasibility of using VIS/NIR spectroscopy along with chemometrics was investigated to predict quality parameters (pH, TSS and firmness) of pomegranate fruit in a nondestructive manner. The effects of different pre-processing...
Pre-proccesing log data for User Behavior Analysis
point for any web mining process. Thus, the quality of results strongly depends on the quality of input data. In this paper, the result of our scenario-based experiment in preprocessing log data for analyzing user behavior is presented. The proposed...
Effects of Pre-processing on the ECG Signal Sparsity and Compression Quality
Abstract—Pre-processing is necessary for many applications
before data transmission. In this paper, signal sparsity variations
due to some pre-processing steps such as...