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This paper introduces a novel customers' demand forecasting model based on least squares support vector machines (LS-SVM) for e-business enterprises. Firstly, the paper presents actual state of e-business, and discusses some factors that block e-business advance in China. Then, some common techniques used for forecasting are briefly reviewed together with their shortcomings respectively. To solve...
Aiming at the problem of the low accuracy predicted by the linear prediction technique of traditional Dead Reckoning in present online game, a new high-accuracy position prediction algorithm based on Dead Reckoning is proposed. The new proposed prediction algorithm uses high-order derivative polynomials to improve the prediction accuracy. The experimental results show that the algorithm is of better...
Biometric-based authentication can provide strong safety guarantee of user identity, but creates other concerns pertaining to template security. How to prevent the templates from being abused, and how to protect the users' privacy well are important problems. This paper proposes an approach based on knowledge signatures to solve these problems, which provides a cancelable template. Only a non-invertible...
Under the situation of economic-global, market competitive is more and more fierce, and the competitive between supplier-chains become main body of market competitive. The selection of supplier is an important factor to improve enterprise core competition in supplier-chain management. The paper analyzes methods of supplier selection both at home and abroad; then, establishes index system of evaluating...
Due to easily-correlated and multi-index of indicative attributes in churn data on chain retail industry, prediction model based on support vector machine (SVM) was set up. Principal component analysis (PCA) can realize dimension reduction and eliminate redundant information, make the sample space for SVM more compact and reasonable. In this paper, PCA was adapted firstly to process 31 dimensional...
Recommender systems are used by e-commerce sites to suggest products to their customers and to provide consumers with information to help them determine which products to purchase. Traditional recommender is oriented to a unique recommendation algorithm based on clear preference. Unfortunately, it is not enough. In a lot situations, user hope recommender help them to finish a complicate task based...
Effective customer satisfaction investigation is a very important precondition for e-commerce. It is the problem which needs to be solved for e-commerce customer satisfaction through use of advanced methods to evaluate the customer satisfaction. This paper establishes a customer satisfaction evaluation method based on combination of linguistic variables, fuzzy triangular numbers, and fuzzy TOPSIS;...
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