Data Mining For Business Intelligence Applications

This article will talk about the application of data mining in medicine, hope to be interested in the friends have inspiration, but also engaged in other industries data mining applications colleagues reference. Data mining, also known as Knowledge Discovery (KDD), is the process of extracting potential and valuable knowledge from a large number of data. The pattern explored by data mining is an objective, but hidden knowledge that is not found in data. For example, data mining can directly excavate the high disease population, discover the unknown link between the disease and the symptom, explore the influence relationship between the test indexes and the potential influence between the test index and the disease, to the unknown ...

The following small series summarizes 10 best data mining tools for everyone, which can help you analyze big data from various angles and make correct business decisions through data.

Big data and artificial intelligence are becoming hot spots in the technology world. Everyone is talking about big data, and everyone is talking about artificial intelligence.

How do I get data to drive a business? This is a key issue that companies must think about in the big data age. Today, enterprises need to deal with too many business unit needs, and the complexity of data determines that enterprises must use business intelligence to cope with the change of business needs and uncertainty, information processing capability determines the success or failure of the enterprise key. Many enterprises spend a lot of financial resources, manpower, material resources to build online transaction processing (OLTP) and Enterprise Resource Planning (ERP), accumulated a large number of data, but the traditional analysis tools are difficult to timely and accurate business analysis of these data, business intelligence ...

Deep learning has made breakthroughs in the application research in the field of image recognition and speech recognition. The “artificial intelligence” that has spanned more than half a century and several times of ups and downs has revived, and the pace of technological transformation has accelerated.

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 ...

"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 ...

Recently, the world-renowned 12th annual Teradata Data Warehouse and Enterprise Analysis Summit held in Suzhou, chapter of "The ultimate interpretation of the value of data" as the theme, in-depth discussion of how enterprises to fully utilize the latest data warehouse and enterprise analysis technology, with the help of data sources to provide insight to quickly formulate the best business decisions, grasp the business opportunities. At the press conference, Teradata dynamic Enterprise Data Warehouse platform 6690 (Active EDW 6690) platform began to supply, provide the latest generation of hybrid storage, further enhance the capacity of data warehousing, help ...

Facebook has announced that its users are now over 750 million and that the number of shares per day has reached 4 billion. IDC predicts that from 2009 to 2020, the total amount of data will increase 44 times times to 35ZB (Zettabyte), and that 80% of the data is unstructured data. Bigdata is also a concept without a normative definition, and different applications have different interpretations of large data. Whether big data has opened a new era, it may be premature to draw a conclusion, but it has a huge impact ...