Graph Based Data Model

Research on distributed polar Graph construction algorithm based on MapReduce Beijing Jiaotong University Nannan with the rapid development of cloud computing technology, many research and applications related to large-scale data processing have been migrated to cloud computing environment, such as data mining, network search, image processing and bioinformatics analysis. The large scale data processing technology is also the research hotspot in the field of high performance computing. In the graph theory research, the polar graph constructs the algorithm as the Polar graph theory important research content, receives the people's attention more and more. The polar graph is the graph which satisfies certain stipulation condition and the number of edges, its construction ...

Figure http://www.aliyun.com/zixun/aggregation/14345.html "> Data processing in the past has been the patent of data scientists, as the application of data is more and more extensive, large data analysis has become an essential part of the field of data analysis, There is a growing need for easy access to simple graph data analysis tools. Graphlab is a very popular open source project, Graphlab developers are constantly pursuing the innovation and development of graph computing, so that it can cater to a large amount of ...

Analysis of large scale graph data processing technology in cloud computing environment Liyuan This article begins with the introduction of cloud computing, and studies the storage mode of graph data based on cloud computing, the segmentation of graph data, the calculation model of graph data and the query processing of graph data. It is hoped that the research in this paper can help to improve the data processing technology of large-scale map. Analysis of large scale graph data processing technology in cloud computing environment

Graph data processing in the past has been the patent of data scientists, as the application of data has become more and more widely used, graph analysis becomes an essential part of the field of data analysis, people increasingly need to be easy to use, simple graph data analysis tools. Graphlab is a very popular open source project, Graphlab developers are constantly pursuing the innovation and development of graph computing, so that it can meet the requirements of mass data processing. Sframe's debut appears low-key and mysterious, but its function is not to be underestimated, it extends the graphlab to the table so that it can easily manage TB series ...

A large-scale derived sub-graph extraction algorithm for adaptive cloud Guo Xin Dongjian Zhouqingzhuang Ping for the existing cloud computing platform resource allocation and the traditional derivation of the sub-graph mining efficiency is lower, and further enhance the cloud computing platform resource integration utilization efficiency and large-scale export of child graph mining efficiency, In this paper, an adaptive cloud extraction algorithm is proposed to solve the problem of resource optimization and mass map mining. Firstly, it introduces the concept of cloud computing and the related concepts of the derivation of the sub graph and the problem description. Then, according to the MapReduce parallel processing model ...

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 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 ...

December 2014 12-14th, hosted by the China Computer Society (CCF), CCF large data Expert committee, the Chinese Academy of Sciences and CSDN co-organizer of the 2014 China Large Data Technology conference (DA data Marvell Conference 2014,BDTC 2014 will be opened at Crowne Plaza Hotel, New Yunnan, Beijing. The three-day conference aims to promote the development of large data technology in the industry, and to set up "large data Infrastructure" and "large data ..."

Hadoop is a large data distributed system infrastructure developed by the Apache Foundation, the earliest version of which was the 2003 original Yahoo! Dougcutting based on Google's published academic paper. Users can easily develop and run applications that process massive amounts of data in Hadoop without knowing the underlying details of the distribution. The features of low cost, high reliability, high scalability, high efficiency and high fault tolerance make Hadoop the most popular large data analysis system, yet its HDFs and mapreduc ...

Spark is a cluster computing platform that originated at the University of California, Berkeley Amplab. It is based on memory calculation, from many iterations of batch processing, eclectic data warehouse, flow processing and graph calculation and other computational paradigm, is a rare all-round player. Spark has formally applied to join the Apache incubator, from the "Spark" of the laboratory "" EDM into a large data technology platform for the emergence of the new sharp. This article mainly narrates the design thought of Spark. Spark, as its name shows, is an uncommon "flash" of large data. The specific characteristics are summarized as "light, fast ...