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Frequent itemsets mining is a crucial problem in the field of data mining. Although many related studies have been suggested, these algorithms may suffer from high computation cost and spatial complexity in dense database, especially when mining long frequent itemsets or support threshold is very lower. To address this problem, a new data structure called P Array is proposed. P Array makes use of...
This study validates that population structure is the key influencing factor and decides the decision making in the site selection of supermarket. Decision Making and Trial Evaluation Laboratory (DEMATEL) methodology is adopted to classify and sort order the influencing factors among the importance and priority orders of influencing factors in the complicated supermarket site selection system using...
The principles of support vector regression (SVR) are described. The collection and treatment of customer demand, the moving time window method, the selection of training samples and the analysis of forecasting accuracy are stated. The customer demand forecasting approach based on SVR using moving time window method is proposed. With the demand data of a simulation example, the presented approach...
At the present time, the research of qualitative spatial relationships primary base on first-order predicate logic, but its shortcoming becomes obvious. Description logic is a formal knowledge representation language, and it has strong expression and reasoning ability. This paper band the description logic together with the qualitative spatial topology relationship representation and reasoning. Also,...
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