Research on the application of the data mining technology in the electronic commerce network marketing

With the rapid development of China＇s reform and opening up and the socialist market economy, the development of Internet technology has promoted the prosperity of e-commerce, and further promoted the rapid development of China＇s economy. Data mining technology is an advanced science and technology, which has important implications for the e-commerce data processing. Through the summary of the data mining technology, this article puts forward the application of data mining technology in electronic commerce, in order to better promote the development of electronic commerce.

Application of Data mining in Enterprise Network Marketing

With the rapid development of the Internet, market has been increasingly competitive and competition means are various. Internet Marketing has become a new way for enterprises to grow. Data mining of enterprise network marketing has become the new darling of many business managers.The marketing data will become a key to develop a corporate marketing strategy as an important basis tool. However, many companies now make mistakes in marketing data. They can＇t fully exploit the marketing data.lt can affect the development of enterprise network marketing strategy. This paper is based on the concept of marketing data and outline the importance of data mining for network marketing, then analyze a significant impact on the entemrise network marketin~ strate^w made by marketinR data mininR.

Question of the status quo and countermeasure exit in the China Business Network Marketing

In the application process of the Internet and network marketing, many Chinese companies are actively engaged in practice, and after an exploratory period of time, companies accumulated some experience in a representative model. Such as： Chinese companies have a combination with traditional marketing and purchase advanced software model and then implemented through secondary development, they also change management ideas and systems, etc. These experiences and models can provide an effective and common reference for enterprise＇ s development of China＇ s e-commerce.

Network marketing strategy research for e-business of maternal and baby＇s products

Maternal and baby＇s product is a special needed class in our country, and the safety of the product quality is very high. Mothers aged at 70s, 80s and 90s have the unique consumption idea and consumption behavior characteristics which have profound significance for merchants. These all have significant influence to enterprise＇s marketing channel construction. Present market situation of Maternal and infant＇s products were summarized in this paper, then consumption psychology and behavior of the buyer are analyzed, and finally put forward the strategy of channel construction of network marketing of Maternal and infant＇s product＇s enterprise.

The marketing situation and measures of the network sporting goods

This article describes the present situation of network sporting goods and analyzes the problem of sporting goods that exists on the network marketing, in addition, we propose marketing strategies, also, we have some suggestions on the sustainable developmem of the network marketing of sporting goods.

General election effect on the network topology of Pakistan’s stock market: network-based study of a political event

To examine the interdependency and evolution of Pakistan’s stock market,we consider the cross-correlation coefficients of daily stock returns belonging to the blue chip Karachi stock exchange(KSE-100)index.Using the minimum spanning tree network-based method,we extend the financial network literature by examining the topological properties of the network and generating six minimum spanning tree networks around three general elections in Pakistan.Our results reveal a star-like structure after the general elections of 2018 and before those in 2008,and a tree-like structure otherwise.We also highlight key nodes,the presence of different clusters,and compare the differences between the three elections.Additionally,the sectorial centrality measures reveal economic expansion in three industrial sectors—cement,oil and gas,and fertilizers.Moreover,a strong overall intermediary role of the fertilizer sector is observed.The results indicate a structural change in the stock market network due to general elections.Consequently,through this analysis,policy makers can focus on monitoring key nodes around general elections to estimate stock market stability,while local and international investors can form optimal diversification strategies.

ZTE Holds 1/4 Global CDMA Network Market Share

ZTE Corporation,a leading global provider of telecommunications equipment and network solutions,announced on July 30,2009 that it has been ranked as the second largest global CDMA network supplier with 25%

ZTE Gains Second Largest Share of the Global Optical Networking Market in 2011

22 August 2012 -- ZTE Corporation, a publicly listed global provider of telecommunications equipment and network solutions, announced its interim results for the six months ended 30 June 2012. Based on both HKFRS and PRC ASBE, ZTE recorded revenue of RMB 42.64 billion for the period, an increase of 15.2% year-on-year. Pre-tax profit in the period was RMB 656 million, a decrease of 48.5% year-on-year. Basic earnings per share for the period were RMB 0.07. During the reporting period,

ZTE Gains Second Largest Share of the Global Optical Networking Market in 2011

ZTE gained the second largest share of the global optical networking market of any company for the second year in a row. ZTE gained 1.8 share points on 2010. In two years, the company moved from world No. 5 to world No. 2 in the global optical network market, and its annual revenues now surpass $1.7 billion.

Study on the Interior Market Network Structure and Its Efficiency in a Knowledge Based Company

A knowledge based company is the microcosmic foundation of the knowledge economy, the design of its organization structure should amplify the company competence to be agile to the knowledge elements. This paper expounds an interior market network structure which is fit for the company intellectual capital operation, and analyses this organization pattern about the reasons of existence, the effectiveness of growing up in scale, the economies of knowledge distribution and the efficiency of operation, and it will provide some beneficial theoretical guidance about how can a company improve its competition competence in the knowledge environment through organization innovation.

Market presence in China Strengthened Network Growth and Dual-Chinese-Hub Strategy

In the end of 2007, Air China Limited (hereinafter "Air China") and Shanghai Airlines, formally joined Star Alliance at a ceremony held in the new Terminal Three at Beijing Capital International Airport. With the addition of the two Chinese airlines, Star Alliance now has 19 member carriers operating 17,000 daily flights to 897 destinations in 160 countries.……

New Situation of China Natural Gas Industry

China natural gas industry is at a turning point. Growth of mid-long term natural gas consumption may maintain at about 10%, supply is sufficient or even "over-sufficient", natural gas price will be determined by competition, oil and gas pipeline facilities will be opened fairly, and private enterprises will play important roles in natural gas exploration, development, storage, transportation, and trade. It can been foreseen that China natural gas industry is very likely to take a turn in next 10 years, and a modern natural gas market with consumption about 500 billion cubic meters will come into being characterized by complete supervision system, diversified market, steady supply, fairly opened pipelines, transparent trading mechanism, and competitive prices.

Strategic Bidding in Distribution Network Electricity Market Focusing on Competition Modeling and Uncertainties

Developing the electricity market at the distribution level can facilitate the energy transactions in distribution networks with a high penetration level of distributed energy resources(DERs)and microgrids(MGs).However,the lack of comprehensive information about the marginal production cost of competitors leads to uncertainties in the optimal bidding strategy of participants.The electricity demand within the network and the price in the wholesale electricity market are two other sources of the uncertainties.In this paper,a day-ahead-market-based framework for managing the energy transactions among MGs and other participants in distribution networks is introduced.A game-theory-based method is presented to model the competition and determine the optimal bidding strategy of participants in the market.Robust optimization technique is employed to capture the uncertainties in the marginal cost of competitors.Additionally,the uncertainties in demand are modeled using a scenario-based stochastic approach.The results ob-tained from case studies reveal the merit of considering competition modeling and uncertainties.