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北京石油化工學(xué)院2026年研究生招生接收調(diào)劑公告

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1樓 2012-03-29 21:03:52

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okitworks

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unitjava: 金幣+10, ★★★很有幫助, 謝謝，另請看http://emuch.net/bbs/viewthread.php?tid=4296788 2012-03-30 11:21:05

跟一般的數(shù)據(jù)相比，物聯(lián)網(wǎng)數(shù)據(jù)總是大規(guī)模的、分布式的、時間相關(guān)的和位置相關(guān)的，數(shù)據(jù)的來源是各異的，節(jié)點的資源是有限的。
這些特征帶來了很多集中數(shù)據(jù)挖掘的問題。
物聯(lián)網(wǎng)數(shù)據(jù)龐大需要實時處理，若采用中央結(jié)構(gòu)，則對硬件中央節(jié)點的要求非常高。
Data of the Internet of Things, comparing with normal data,  are always appearing as mass, distributed, time-correlated and location-correlated. Their sources are diverse. The Node resources are limited.
These characteristics brought plenty of  problems of concentrated data mining.
For requirement of real-time processing of mass data from the Internet of Things, the proposal of centralized structure utilization would demand high ability of  hardware central node(nodes?).

考慮到數(shù)據(jù)安全性、數(shù)據(jù)隱私、容錯、商業(yè)競爭、法律約束和其他方面，將所有相關(guān)數(shù)據(jù)放在一起的戰(zhàn)略通常是不可行的。
節(jié)點的資源是有限的。將數(shù)據(jù)放在中心節(jié)點的策略沒有優(yōu)化昂貴資源傳輸。在大多數(shù)情況下，中心節(jié)點不需要所有的數(shù)據(jù)，但是需要估計一些參數(shù)。所以可以在分布式節(jié)點中預(yù)處理原始數(shù)據(jù)，再將必要信息傳送給接收者。
However, considering data safety, data privacy, fault-tolerance, commercial competition, legal restraint and other aspects, it is infeasible to centralize all related data as a strategy.
The Node resources are limited. The strategy do not optimize costly data transmission. In most cases, the central node does(the central nodes do) not need all data, but a few parameters are required to be estimated. Therefore, original data could be pre-processed at distributed nodes, after which necessary infomations could be transmitted to receivers.

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2樓2012-03-30 10:22:00

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benmao_mogu

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unitjava: 金幣+15, 翻譯EPI+1, ★★★很有幫助, 謝謝，另請看http://emuch.net/bbs/viewthread.php?tid=4320076 2012-03-30 11:20:16

Compare with common data, The data in Internet of things are always massive, distributive, time-relating and location- relating, also, the sources of data are distinctive and the resources of the joint are limited.
all of the features above bring in numerous problems about central data mining.
the enormous numbers in the internet of things need a real-time processing. So a pretty high demand will be needed if central construction is adopted.
Therefore, it is not a viable strategy to put all the relevant data together considering some aspects on data like, safety, privacy fault-tolerance, commercial competition, restriction of law and others.
The resources of the panel joints are limited. It doesn’t optimize the transition of the expensive resources to lay all the data on the central joint. In most cases, the central joint doesn’t need all the data, but need to estimate some parameters, therefore, we can preprocess the original data in the distributive joint, then send necessary information to receivers.

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3樓2012-03-30 10:27:39

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