Incremental Data

Discover incremental data, include the articles, news, trends, analysis and practical advice about incremental data on alibabacloud.com

Research on incremental learning on cloud computing platform

Research on incremental learning on cloud computing platform Nanjing University of Posts and Telecommunications Li This paper combines the characteristics of traditional incremental learning algorithm, after deeply analyzing the MapReduce framework mechanism, integrates modular integrated learning into incremental learning process, designs two incremental classification algorithms based on cloud computing platform. The map phase of the two algorithms is the training of the corresponding base classifier, and the different map tasks can be executed in a high degree of parallelism. Reduce stage according to the learning environment whether there is a concept drift phenomenon of production, respectively, using classifier ...

Research on an incremental processing mechanism of parallel data based on NoSQL

Research on an incremental processing mechanism of parallel data based on NoSQL Huazhong University of Liu Cloud computing has brought new opportunities and challenges to the process of data processing. The traditional relational database is unable to meet the requirement of large data, and the distributed non relational database can satisfy the high concurrency and high demand of reading and writing because of its high reliability and high availability. However, the superior performance of distributed, relational databases is at the expense of SQL data-processing capabilities. Therefore, it is an important research to improve the data processing ability of the non relational database.

A real-time preprocessing model for massive data streams based on incremental learning

A real-time preprocessing model for massive data streams based on incremental learning Chen Danwei Chenhauzhuangjun for the real-time and high efficiency of data stream preprocessing under mass data environment, a real-time preprocessing model of data flow in large data environment is proposed, based on MMHC (maxmin hillclimbing) and using incremental learning method to improve the construction process of Bayesian network model, improve the effectiveness of the preprocessing model, but also reduce the time consumed by the model update, to some extent, to prevent the backlog of data, support the dynamic update of the network structure, ...

How products for incremental innovation

[Core Tip] Youdao Dictionary This foreign language learning product can grow into a leader in its class, which is backed by constant incremental innovation. Right way is not a "pig on the tuyere", can achieve the current status of foreign language learning products today, relying on their frequent product innovation. Among them are incremental innovation, but also subversive innovation, youdao dictionary these innovative measures will be divided into four categories. 1) technology innovation is a proper way to search the gene, the search is based on big data technology, so youdao dictionary also on big data and machine learning, data digging ...

Incremental Data 處理 based on MapReduce

Incremental Data 處理 based on MapReduce cairong Yan Xin yang Ze Yu Min Li Xiaolin Li incmr Framework was proposed in Monitors for incrementally 處理 new data ...

Micro-blog event detection and tracking based on the incremental hierarchical density clustering of representative points in cloud computing environment

Micro-blog event detection and tracking based on representative point increment hierarchical density clustering in cloud computing environment Fung Han Nan Jadong to extract news events from a large number of real-time information generated from the microblogging service platform, a complete set of micro-blog event detection and tracking algorithm in cloud computing environment is proposed. Firstly, a new weight calculation method based on micro-Bo forwarding number and comment number is used to represent the micro-Bowenben as a vector space model, and then the incremental hierarchical density clustering (rihdbscan) algorithm based on the representative point is adopted to extract the keywords and finally realize the detection and tracking of news events. For single ...

A cloud storage service client incremental synchronization algorithm

A cloud storage service client incremental synchronization algorithm Lu Yu Liu Mazhizuo dan with the rapid development of cloud computing technology, more and more users choose to use cloud storage service to save personal files. Cloud storage sharing and collaboration technology allows users to share cloud files, enabling other users to read and write files through clients on various intelligent terminals. Cloud storage sharing and collaboration technology brings the need for large-scale shared scenarios of file history versions, which is a great test for the concurrent I/O performance of the cloud storage system. For cloud storage services to share the characteristics of the scene, mining file history version ...

The incremental dilemma of the US mission's billions of targets

The group buying market reached a scale of more than 20 billion in 2011, with the unfortunate fact that it included a good deal of data, not including a local business service of more than 10 billion. Here a little explanation, group purchase originally is a localized life service transactions, can do a lot of physical products are also called Group buy mixed in among them, such as the cost of gathering. But the main business model of this and the United States is different, the United States Regiment of physical products not exceeding 10%. The following group purchase refers to http://www.aliyun.com/zixun/aggregation/5033.htm ...

Intel Wugansha: Large Data development context

On the morning of 26th, Mr. Wugansha, chief engineer of the Intel China Research Institute, delivered a speech on the theme of "Big Data development: Seeing yourself, seeing the world, seeing sentient beings". In the speech, Wugansha pointed out that the next wave of the big science and technology revolution has been ready, large data models can be divided into three categories, the first category to see themselves, as Socrates said you have to know yourself. The second level is to see heaven and earth, you have to pay attention to yourself, to the world between heaven and earth, to understand the community and social behavior. The third is to see sentient beings, the so-called sentient beings are heaven and earth, nature, all things, the so-called all sentient beings have Buddha nature, this is the day ...

Huaijin, president of Beijing Aerospace University: Cloud computing gives big data new value

August 13 News, Beijing Aerospace University president Huaijin Peng in the afternoon, "Hall of Fame-Internet trend Forum," said that cloud computing under the big data will produce new value.  One is commercial social value, the other is academic value.  Large data not only change our communication model, but also affect our economic and social development model, more importantly, it may be an important means of future academic and scientific discoveries.  But he also said the application of large data would inevitably involve privacy. Huai Jin Peng proposed that the site using large data can be a lot of personal information mining out ...

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