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To effectively reuse existing NC machining process of similar part and feature, an effective data mining approach of existing CAM models in machining process data is proposed. First, a machining feature based multilevel structured CAM model is proposed to reveal the relations between machining features and machining operations. Then, the structured machining know-how database is automatically generated...
Tour activities are closely related to carbon emissions. Low-carbon tourism is an important means of saving energy and reducing emissions. With the advent of big data mining technology, it is urgent foracademia to discuss the measurement of self-driving tour carbon emission flows and its spatial relationship with scenic spots based on big data on traffic. This paper measures self-driving tour carbon...
The key computation of bridge safety fuzzy comprehensive assessment using analytic hierarchy process is to realize membership transformation. However the existing membership transformation methods can't indicate "which parts in index membership are useful for object classification and which parts are useless". It results in that the redundant data of no use in object classification are used...
Focused crawlers selectively retrieve Web documents that are relevant to a predefined set of topics. To intelligently make predictions and decisions about relevant URLs and web pages, different topic models have been introduced to represent topic-specific knowledge. Yet it is difficult to support semantic interoperability among different models. Moreover, some manually specified additional semantic...
In this paper, we investigate the use of data mining, in particular the text classification and co-training techniques, to identify more relevant passages based on a small set of labeled passages obtained from the blind feedback of a retrieval system. The data mining results are used to expand query terms and to re-estimate some of the parameters used in a probabilistic weighting function. We evaluate...
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