Optimized approach of feature selection based on information gain
Feature selection is an essential part of text categorization,which can effectively improve classification precision and efficiency.With some drawbacks proposed from traditional IG approach,an optimized approach that takes frequency,concentration and distribution into account is proposed for improving IG approach.The experimental results show that the improved IG approach is superior to traditional IG approach in feature selection.
In the overall ownership cost of enterprise system, the maintenance cost consists of a major percentage. During the lifetime of an enterprise system, process customization is the most frequent maintenance efforts. However, current processing method has limited scalability and efficiency. In this case study, we explained how a scalable and efficient customization processing method was implemented. This method used the carbon emission trading mechanism to facilitate the cost benefit analysis of customization request. It also used distributed processing principle to improve the overall processing efficiency. Feedback from a pilot implementation in a large manufacturer included.