The change and development of the environment of electronic commerce has a great influence on enterprises and consumers. The characteristics of the consumer behavior is changing,the marketing mode of enterprise, espec...The change and development of the environment of electronic commerce has a great influence on enterprises and consumers. The characteristics of the consumer behavior is changing,the marketing mode of enterprise, especially network marketing, is gradually affected. This paper analyzes the challenges faced by the production and operation activities of traditional enterprise,the changes of consumer behavior, and some problems and countermeasures in network marketing.展开更多
In this paper,we tested our methodology on the stocks of four representative companies:Apple,Comcast Corporation(CMCST),Google,and Qualcomm.We compared their performance to several stocks using the hidden Markov model...In this paper,we tested our methodology on the stocks of four representative companies:Apple,Comcast Corporation(CMCST),Google,and Qualcomm.We compared their performance to several stocks using the hidden Markov model(HMM)and forecasts using mean absolute percentage error(MAPE).For simplicity,we considered four main features in these stocks:open,close,high,and low prices.When using the HMM for forecasting,the HMM has the best prediction for the daily low stock price and daily high stock price of Apple and CMCST,respectively.By calculating the MAPE for the four data sets of Google,the close price has the largest prediction error,while the open price has the smallest prediction error.The HMM has the largest prediction error and the smallest prediction error for Qualcomm’s daily low stock price and daily high stock price,respectively.展开更多
文摘The change and development of the environment of electronic commerce has a great influence on enterprises and consumers. The characteristics of the consumer behavior is changing,the marketing mode of enterprise, especially network marketing, is gradually affected. This paper analyzes the challenges faced by the production and operation activities of traditional enterprise,the changes of consumer behavior, and some problems and countermeasures in network marketing.
文摘In this paper,we tested our methodology on the stocks of four representative companies:Apple,Comcast Corporation(CMCST),Google,and Qualcomm.We compared their performance to several stocks using the hidden Markov model(HMM)and forecasts using mean absolute percentage error(MAPE).For simplicity,we considered four main features in these stocks:open,close,high,and low prices.When using the HMM for forecasting,the HMM has the best prediction for the daily low stock price and daily high stock price of Apple and CMCST,respectively.By calculating the MAPE for the four data sets of Google,the close price has the largest prediction error,while the open price has the smallest prediction error.The HMM has the largest prediction error and the smallest prediction error for Qualcomm’s daily low stock price and daily high stock price,respectively.
