نتایج جستجو برای: data stream
تعداد نتایج: 2448875 فیلتر نتایج به سال:
Real-time event stream processing (RT-ESP) applications must synchronize continuous data streams despite fluctuations in resource availability. Satisfying these needs of RT-ESP applications requires predictable QoS from the underlying publish/subscribe (pub/sub) middleware. If a transport protocol is not capable of meeting the QoS requirements within a dynamic environment, the middleware must b...
This paper outlines the successive steps in the setting up of a labelled data bank of German read and spontaneous speech at IPDS Kiel.
Mining frequent itemsets through static Databases has been extensively studied and used and is always considered a highly challenging task. For this reason it is interesting to extend it to data streams field. In the streaming case, the frequent patterns’ mining has much more information to track and much greater complexity to manage. Infrequent items can become frequent later on and hence cann...
case 0: /* just waste a cycle and loop */ break; case 1: /* use the first output from two cycles */ *buf++ ^= nltap(R, r) ^ 0x69; r = cycle(R, r); break; case 2: /* use the second output from two cycles */ r = cycle(R, r); *buf++ ^= nltap(R, r); break; case 3: /* return from one cycle */ *buf++ ^= nltap(R, r) ^ 0x96; break; } } } /* encrypt/decrypt a frame of data */ void sober_genbytes(unsigne...
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A data stream is an emerging research area and also a challenging problem in present days. Streaming is a technique for transferring data from one place to another. A data stream is a continuous, real time, uninterrupted sequence of coherent data. The paper presents the overall study about data stream and its process model and structure used for data set preparation in data mining analysis.
In this demo, we show that intelligent load shedding is essential in achieving optimum results in mining data streams under various resource constraints. The Loadstar system introduces load shedding techniques to classifying multiple data streams of large volume and high speed. Loadstar uses a novel metric known as the quality of decision (QoD) to measure the level of uncertainty in classificat...
Much of the research regarding streaming data has focused only on real time querying and analysis of recent data stream allowable in memory. However, as data stream mining, or tracking of past data streams, is often required, it becomes necessary to store large volumes of streaming data in stable storage. Moreover, as stable storage has restricted capacity, past data stream must be summarized. ...
A new class of data management systems that operate on highvolume streaming data is becoming increasingly important. As this kind of systems has to process unpredictable streaming data in real-time and deliver instantaneous responses, it becomes very difficult to precisely validate stream processing results in timely manner, verify stream computation that took place and investigate processing s...
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