New techniques are discussed for enhancing the classification precision of deep Web databases, which include utilizing the content texts of the HTML pages containing the database entry forms as the context and a unification processing for the database attribute labels. An algorithm to find out the content texts in HTML pages is developed based on multiple statistic characteristics of the text b...

to identify important attributes/factors that contribute to grain and biological yields of wheat, 9912 sets of diverse data from field studies were extracted, and supervised attribute-weighting models were employed. results showed that when biological yield was the output, grain yield, nitrogen applied, rainfall, irrigation regime, and organic content were the most important factors/attributes,...

Fashion classification encompasses the identification of clothing items in an image. The field has applications in social media, e-commerce, and criminal law. In our work, we focus on four tasks within the fashion classification umbrella: (1) multiclass classification of clothing type; (2) clothing attribute classification; (3) clothing retrieval of nearest neighbors; and (4) clothing object de...

In this paper, we study the problem of transfer learning with the attribute data. In the transfer learning problem, we want to leverage the data of the auxiliary and the target domains to build an effective model for the classification problem in the target domain. Meanwhile, the attributes are naturally stable cross different domains. This strongly motives us to learn effective domain transfer...

We describe in this thesis an approach to fill missing values in decision trees during theclassification phase. This approach is derived from the ordered attribute trees (OAT) method,proposed by Lobo and Numao in 2000, which builds a decision tree for each attribute and usesthese trees to fill the missing attribute values. It is based on the Mutual Information between theattribu...

Purpose This project attempts to present a space component inventory classification system for replenishment and management. The authors propose adopt that can incorporate all the different variables in multi-criteria configuration. Fuzzy logic is applied as an effective way formulating problems replenishment. Design/methodology/approach A fuzzy-based approach with ABC proposed of soil preparat...