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In recent years, the new achievements in the field of technology and data science allowed to gather detailed and well-structured information about electricity consumption behaviors of industrial enterprises. Such type of information can find numerous applications in the power distribution industry. The utilities often use the data from contracts to assign each industrial customer a class label according...
As the enormous amount of data is generated with a high speed a new era of data processing age has started ‘The Big Data Processing’. Big Data deals with the data that have high Volume, high Velocity, high Variety and high Veracity also known as 4V's of Big Data. Managing Big data with the traditions systems are not possible due to the 4V's property of Big Data, so a system is required that could...
Multimedia and image mining representing the image objects clearly and efficiently because image objects are hard to define. Thus, we have to break the image object into meaningful components such as color, texture, shape, etc. Querying the image objects after representing them to retrieve the discovered knowledge. In the age of Big Data where Velocity, Variety and Volume are the challenges, variety...
The Quantile Regression Forest (QRF), a nonparametric regression method based on the random forests, has been proved to perform well in terms of prediction accuracy, especially for non-Gaussian conditional distributions. However, the method may have two kinds of bias when solving regression problems: bias in the feature selection stage and bias in solving the regression problem. In this paper, we...
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