Feature based feedback into the early stages of design

Article Abstract:

An innovative methodology for the essential supposition of product design was developed based on the feedback loop. The feedback approach was utilized to evaluate and select design variants over all stages of product design according to product requirements. The model that was developed based on the methodology can also be utilized for cost estimations involving sophisticated and complex structures. Furthermore, this determination can be utilized for decision support and early estimations of future product costs.

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Evaluating feature selection methods for learning in data mining applications

Article Abstract:

There have been few studies on preprocessing data used as input in the data mining systems. A study, evaluating several inter-class as well as probabilistic distance-based feature selection methods and their effectiveness in preprocessing input data for inducing decision trees is analyzed.

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ining time series data for segmentation by using Ant Colony optimization

Article Abstract:

A time series segmentation algorithm for timer series data mining is developed using Ant Colony Optimization algorithm. The merits of the algorithm, like low degree of data loss, are also discussed.

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