Data Mining Applications In Manufacturing

Keynote speaker: Xionghui Moderator: Carey: Zhongguancun Large Data Industry Alliance Mr. Xionghui is the associate dean of the Department of Management Science and information systems at Rutgers-New Jersey State University in the United States, a tenured professor. The main areas of research include: data mining, large data, business intelligence, mobile computing, and information security. Obtained the highest academic award at the University of Rochester in 2009. He was also invited to participate in the organization of international top-level meetings (such as KDD, ICDM,ICML,ICDE and SDM) and as a member/chair of the International Conference Organizing Committee. He is also currently serving as IEEE ...

Keynote speaker: Xionghui Moderator: Carey: Zhongguancun Large Data Industry Alliance Mr. Xionghui is the associate dean of the Department of Management Science and information systems at Rutgers-New Jersey State University in the United States, a tenured professor. The main areas of research include: data mining, large data, business intelligence, mobile computing, and information security. Obtained the highest academic award at the University of Rochester in 2009. He was also invited to participate in the organization of international top-level meetings (such as KDD, ICDM,ICML,ICDE and SDM) and as a member/chair of the International Conference Organizing Committee. He is also currently serving as IEEE ...

"Human beings are moving from the IT era to the DT era," Jack Ma, Alibaba Group founder, has spared no effort to sell his views on various occasions, and the information society has entered the era of big data. The emergence of large data changes the way people live and work, and also changes the mode of operation of manufacturing enterprises. First, the manufacturing industry is also in an era of data explosion in recent years, with the Internet, IoT, cloud computing and other information technology and communication technology, the rapid development of data volume has become a common face of many industries a serious challenge and valuable opportunities. With the progress of manufacturing technology ...

"Data will become a strategic ingredient, and every business, research team and government has a responsibility to collect, process, analyze and index data purposefully." "Zhou, director of the Internet Center of the Institute of Management, called for companies to devote large numbers to big data. But based on extensive research into 1144 business people and IT professionals in 95 countries, 26 industries, IBM has found that most businesses have recognized the potential of "big data" to improve decision-making processes and business outcomes, but they don't know how to start. It is true that ...

Although the topic of cloud computing is still popular, the conversation with the selection team (the ERP system for manufacturing users) has made me realize that users are still skeptical and uncertain about the software's adaptability to their business. Market-Ready Manufacturing ERP software has not reached the point where it is not in demand, and in any vertical manufacturing market, cloud and hosting solutions are conventional, and TEC data shows that the solution is not widely used in the manufacturing industry. For ease of analysis, I will apply TEC advisor to various ERP project data, including streaming ...

Innovative report from the dean of top research institutes when all our actions and our lives can be "data", the company that holds the data is like owning a rich gold mountain. 　　As Victor Maire-Schoenberg says, the big data age is "the future that has happened," and in this already-occurring future, there is no bystander. December 19, 2013, by the boutique media "digital Business Times" sponsored by the "Great data creation of the era of Subversion" 2013 China Summit Forum in Beijing to make a grand Holiday Crowne Plaza Hotel ...

Victor Maire-Schoenberg, one of the authors of the Great Data Age: A major change in life, work and thinking, has said that, as telescopes allow humans to perceive the universe, microscopes allow humans to observe microbes, and big data opens up a major transformation of the times. Large data, the most fashionable word in the IT field, is simply the ability to quickly obtain value information from a variety of data. The United States was the first country to discover and use the value of large data science. March 2012, the Obama administration announced the investment of 200 million dollars to pull big data related industry development, will "big data ...

Large data is not a patent in the ICT industry. At present, the financial, radio and television and other traditional industries are actively using the power of large data to help enterprises to achieve transformation. In the power industry, large data has been regarded as an important issue at the strategic level of the enterprise: The State Grid has set up three large data centers in Beijing, Shanghai and Shaanxi, of which more than 10,200 sensors have been installed in the large data center of Beijing, which can save a value of about 300,000 yuan per month. So how does the power industry apply big data? In the face of the challenges of the power industry, what are the common features of telecommunications and what are the opportunities for telecommunications? Electricity ...

"Editor's note" This article is reproduced in the public number "Fu Zhihua", the author has been Tencent social networking business Group data center director and Tencent Data Association president.     Before Tencent, he worked in the market consulting, Analysys International, China Internet Association, and served as vice president of Dcci Internet Data Center. The internet industry in the accumulation of large data and applications to Baidu, Tencent and Alibaba is the most noteworthy. Baidu, Tencent and Alibaba in the application of large data although there is a common place, but due to their respective data sources and ...

Large data is not a patent in the ICT industry. At present, the financial, radio and television and other traditional industries are actively using the power of large data to help enterprises to achieve transformation. In the power industry, large data has been regarded as an important issue at the strategic level of the enterprise: The State Grid has set up three large data centers in Beijing, Shanghai and Shaanxi, of which more than 10,200 sensors have been installed in the large data center of Beijing, which can save a value of about 300,000 yuan per month. So how does the power industry apply big data? In the face of the challenges of the power industry, what are the common features of telecommunications and what are the opportunities for telecommunications? Electricity ...