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The purpose of this study is to propose an approach to recommend classification algorithms for real-world classification problems. First, the extension rhombus thinking mode is used to construct performance indicators of the classification algorithm. Second, an extension-based recommendation method about classification algorithm is proposed. Third, a recommendation system is designed to implement...
For better user personalization, this paper explores the collecting and processing method of network users' behavior data with multi-source heterogeneity and analyzes network user behavior on the basis of context by the theory called Situation Awareness. Then, a new efficient algorithm is presented by using internet context to ensure the model of user interest auxiliary. Further, a structure model...
Fingerprint classification is an important indexing method for any large scale fingerprint recognition system or database as a method for reducing the number of fingerprints that need to be searched. Fingerprints are generally classified into broad categories based on global features. This paper describes a new fingerprint classification algorithm that uses some curve features of ridgelines. The algorithm...
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