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Artificial Intelligence-Expert Systems-Data Mining: My Résumé

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Artificial Intelligence-Expert Systems-Data Mining: July 2009

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Monday, July 20, 2009. What is data mining? Many people treat data mining as a synonym for another popularly used term, “Knowledge Discovery in Databases “, or KDD . Alternatively, others view data mining as simply an essential step in the process of knowledge discovery in databases. Knowledge discovery as a process is depicted in Figure 1.4, and consists of an iterative sequence of the following steps:. Data cleaning (to remove noise or irrelevant data),. Posted by احسان ربیعی. Links to this post. Pedro...

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Artificial Intelligence-Expert Systems-Data Mining: December 2009

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Sunday, December 13, 2009. I am trying to make a project from viewpoint AI and ES. It will be about colors and the usage colors. This program will help the users to select the colors for especial places, environments, etc. For example helping to select the colors for the inside of an airplane (chairs, floor, walls, ceiling, etc). I decide that it asks some questions from user and offers the colors that are the best selects from the aspects of Psychology. Posted by احسان ربیعی. Links to this post.

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Artificial Intelligence-Expert Systems-Data Mining: TOEFL

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Artificial Intelligence-Expert Systems-Data Mining: New project(Cooperating)

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Sunday, December 13, 2009. I am trying to make a project from viewpoint AI and ES. It will be about colors and the usage colors. This program will help the users to select the colors for especial places, environments, etc. For example helping to select the colors for the inside of an airplane (chairs, floor, walls, ceiling, etc). I decide that it asks some questions from user and offers the colors that are the best selects from the aspects of Psychology. Posted by احسان ربیعی. Labels: In the making.

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Artificial Intelligence-Expert Systems-Data Mining: My Photos

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Artificial Intelligence-Expert Systems-Data Mining: August 2009

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Wednesday, August 19, 2009. Also known by the names:. Least Mean Squares (LMS) Rule. Replace the step function in the with a continuous (differentiable) activation function, e.g linear. For classification problems, use the step function only to determine the class and not to update the weights. Note: this is the same algorithm we saw for regression. All that really differs is how the classes are determined. N = number of examples. Ti = desired target value associated with the i-th example. Scj(0) = 0, and.