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Analysis of the Reasons for Overuse of Chemical Fertilizer from a Seller’s Perspective

Yuyang Lian, Jing Liu, Shuqin Jin, Hongbin Liu, Shuxia Wu

Strategic Study of CAE 2018, Volume 20, Issue 5,   Pages 112-119 doi: 10.15302/J-SSCAE-2018.05.017

Abstract: Analyses show that the phenomenon of credit sales in fertilizer circulation is serious, which has greatlyThe promotion of fertilizer products and the financial risks arising from credit buying of farmers havefertilizer distributors, optimize trainings of the fertilizer distributors, and ease the pressure caused by creditsales in fertilizer circulation.

Keywords: fertilizer     distributors     credit sales     recommended dosage    

Study on Complex System Based Credit EvaluationSystem of Construction Enterprises

Liu Xiaofeng,Qi Ershi

Strategic Study of CAE 2007, Volume 9, Issue 9,   Pages 84-88

Abstract:

In allusion to the credit crisis of construction enterprises of China,  this paper provides a useful solution that builds the Complex System based Credit Evaluationsubsystem,  evaluation subsystem and information platform subsystem are showed systematically and the credit

Keywords: construction enterprise     credit evaluation     complex system    

Research on the credit classification of practicing qualification personnel in construction market based

Fang Zhiqing,Wang Xueqing,Li Baolong

Strategic Study of CAE 2011, Volume 13, Issue 9,   Pages 105-108

Abstract: market, evaluation method based on the self-organizing nerural network is brought out to analyze the creditAnd the impact factors on the credit classification of the practicing qualification personnel, such asThe research result reveals that the method can efficiently evaluate the credit of the practicing qualification

Keywords: practicing qualification personnel     credit     cluster analysis     self-organizing neural network    

E-commerce businessmodel mining and prediction

Zhou-zhou HE,Zhong-fei ZHANG,Chun-ming CHEN,Zheng-gang WANG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 9,   Pages 707-719 doi: 10.1631/FITEE.1500148

Abstract: We study the problem of business model mining and prediction in the e-commerce context. Unlike most existing approaches where this is typically formulated as a regression problem or a time-series prediction problem, we take a different formulation to this problem by noting that these existing approaches fail to consider the potential relationships both among the consumers (consumer influence) and among the shops (competitions or collaborations). Taking this observation into consideration, we propose a new method for e-commerce business model mining and prediction, called EBMM, which combines regression with community analysis. The challenge is that the links in the network are typically not directly observed, which is addressed by applying information diffusion theory through the consumer-shop network. Extensive evaluations using Alibaba Group e-commerce data demonstrate the promise and superiority of EBMM to the state-of-the-art methods in terms of business model mining and prediction.

Keywords: E-commerce     Business model prediction     Consumer influence     Social network     Sales prediction    

Title Author Date Type Operation

Analysis of the Reasons for Overuse of Chemical Fertilizer from a Seller’s Perspective

Yuyang Lian, Jing Liu, Shuqin Jin, Hongbin Liu, Shuxia Wu

Journal Article

Study on Complex System Based Credit EvaluationSystem of Construction Enterprises

Liu Xiaofeng,Qi Ershi

Journal Article

Research on the credit classification of practicing qualification personnel in construction market based

Fang Zhiqing,Wang Xueqing,Li Baolong

Journal Article

E-commerce businessmodel mining and prediction

Zhou-zhou HE,Zhong-fei ZHANG,Chun-ming CHEN,Zheng-gang WANG

Journal Article