Making Sense Of Data

"Large data is a new strategic resource in the age of Digitalization, which is of great importance to the development of the country and society." China should vigorously promote the large data research and industrial development, and to promote the decision-making mechanism and social and economic development and transformation of various undertakings. "At the opening ceremony of the" Environmental Protection Data Research Center of Xian Jiaotong University, "Wang Chulo, academician of the Chinese Academy of Engineering, said. Wang Chulo says the world is now in an era of exploding data. In the long run, the development of large data is not only the development of science and technology, but also the change of decision-making mechanism, which leads to large data from experience decision and quantitative decision.

is to do a different game, or cottage a successful game? This is really a problem. Why do many game designs have to be cottage? What's wrong with Shanzhai design? This paper takes the legend of the knife Tower as an example, and analyzes the design idea of its equipment point advanced hero. From the sense of the game, how the cottage design was born as a game planning, "game sense" should be often heard and mentioned a word. But the game sense is what thing, how to define and describe, I am afraid many people do not think carefully. As a player, the overall feeling of the game (black or black, fun or boring, tired or relaxed 、...

"Large data is a new strategic resource in the age of Digitalization, which is of great importance to the development of the country and society." China should vigorously promote the large data research and industrial development, and to promote the decision-making mechanism and social and economic development and transformation of various undertakings. "At the opening ceremony of the" Environmental Protection Data Research Center of Xian Jiaotong University, "Wang Chulo, academician of the Chinese Academy of Engineering, said. Wang Chulo says the world is now in an era of exploding data. In the long run, the development of large data is not only the development of science and technology, but also the change of decision-making mechanism, which leads to large data from experience decision and quantitative decision.

2014 Zhongguancun Large Data day on December 11, 2014 in Zhongguancun, the General Assembly to "aggregate data assets, promote industrial innovation" as the theme, to explore data asset management and transformation, large data depth technology and industry data application innovation and ecological system construction and so on key issues. The Conference also carries on the question of the demand and practice of the departments in charge of the government, the finance, the operators and so on to realize the path of transformation and industry innovation through the management and operation of data assets. In the afternoon financial @big data Forum, ...

This paper is an excerpt from the book "The Authoritative Guide to Hadoop", published by Tsinghua University Press, which is the author of Tom White, the School of Data Science and engineering, East China Normal University. This book begins with the origins of Hadoop, and integrates theory and practice to introduce Hadoop as an ideal tool for high-performance processing of massive datasets. The book consists of 16 chapters, 3 appendices, covering topics including: Haddoop;mapreduce;hadoop Distributed file system; Hadoop I/O, MapReduce application Open ...

This article describes ways to perform large data analysis using the R language and similar tools, and to extend large data services in the cloud. In this paper, a kind of digital photo management which is a simple and large data service is analyzed in detail, and the key elements of searching, analyzing and machine learning are applied to the unstructured data. This article focuses on applications that use large data, explains the basic concepts behind large data analysis, and how to combine these concepts with business intelligence (BI) applications and parallel technologies, such as the computer Vision (CV) and ... as described in part 3rd of the Cloud Extensions series.

"Data has penetrated into every industry and business functional area today, becoming an important factor in production." The excavation and application of massive data indicates a new wave of productivity growth and consumer surplus. 　　The arrival of the big data age was first proposed by McKinsey, a world-renowned consulting firm. Indeed, this is the age of large data. On Wall Street in the south of New York Manhattan District, investment banking sold shares based on popular sentiment, and hedge funds analyzed the sales of corporate products based on customer reviews at the shopping site; at the very beginning of the World Cup in Brazil, Google [micro-blog] Cloud computing flat ...

The purpose of data mining is to find more quality users from the data. Next, we continue to explore the model of the guidance data mining method. What is a guided data mining method model and how data mining builds the model. In building a guided data mining model, the first step is to understand and define the target variables that the model attempts to estimate. A typical case, two-dollar response model, such as selecting a customer model for direct mailing and e-mail marketing campaigns. The build of the model selects historical customer data that responds to similar activities in the past. The purpose of guiding data mining is to find more similar ...

The purpose of data mining is to find more quality users from the data. Next, we continue to explore the model of the guidance data mining method. What is a guided data mining method model and how data mining builds the model. In building a guided data mining model, the first step is to understand and define the target variables that the model attempts to estimate. A typical case, two-dollar response model, such as selecting a customer model for direct mailing and e-mail marketing campaigns. The build of the model selects historical customer data that responds to similar activities in the past. The purpose of guiding data mining is to find more classes ...

The Internet is an industry that makes popular concepts, and Data Products is no exception. In fact, the "real" data products have long since come out, only "name" is slowly becoming popular after a few years. I have seen a lot of articles on data products. We do not have a unified understanding of the concept of understanding there are different places, so I want to simply express my point of view, the main content is not seen in other online text of a talk. First, what is the data products To talk about data products, the first unavoidable "cookie cutter problem" is the definition of data products. My understanding is: ...