Due to rapid growth of the population of online shopping, Internet companies collect Terabytes-Level web logs and data every day. These data records every single consumer’s activities, which have very high value to mine and research. Through processing these data, companies can get considerable potential and valuable information. Then analysts can learn consumers’ behavior patterns
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As a desktop product which has a large number of users, QQ Pcmgr has to handle massive user data. Process and analysis of the user data contribute a lot to the improvement of product quality. However, it is difficult for QQ Pcmgr back end routine jobs to apply for process resource, because the company’s data
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The rapid development of Internet has brought explosive growth of the amount of information, how to obtain useful and accurate information among the mass of information becomes urgent and necessary. Based on the needs of users, information filtering technology can filter out information which does not meet the requirements of users from the dynamic information
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Futures, increasing fast, is treated as an important means to do investment. At the same time, the amount of data related to futures is increasing day by day. So, it becomes more and more import to take good use of these data. We can find useful information from the raw data by some data-mining tools;
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Futures, increasing fast, is treated as an important means to do investment. At the same time, the amount of data related to futures is increasing day by day. So, it becomes more and more import to take good use of these data. We can find useful information from the raw data by some data-mining tools;
(Read More…)
Futures, increasing fast, is treated as an important means to do investment. At the same time, the amount of data related to futures is increasing day by day. So, it becomes more and more import to take good use of these data. We can find useful information from the raw data by some data-mining tools;
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In the past few decades, large-scale distributed computing systems have been widely used to serve a growing number of applications. Lots of firms have deployed their own large and complex distributed systems consisting of thousands of computers. In the distributed computing system, resources are shared by large amount of users in a time-shared manner. In
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The current internet is facing on the difficult problems of PB level’s data storage and computation. Hadoop is being growingly used to deal with massive data distributed storage and computation, is an easily expansive distributed computing framework, connect with the cheap PC node together to provide services of storage and computing. Its MapReduce framework provides
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Cluster computing, internet of things, cloud computing and wireless sensor networks emerged in recent years are distributed systems technology for commercial applications. Therefore, to build a distributed system is effective to achieve the basic requirements of these applications. This thesis mainly studies the distributed system of communication and load balance problems. After a brief introduction
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The design of Autonomous Underwater Vehicle is a complicated project, which involves many disciplines. Multidisciplinary Design Optimization is an effective method to solve the design of optimization for the large-scale complex engineering system. Multidisciplinary Design Optimization computing framework is the problem-solving environment that supports application of multidisciplinary design optimization, which includes hardware and software architecture.This
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