Results 51 to 60 of about 935,434 (195)
, 2012 Data stream management systems (DSMS) so far focus on event queries and hardly consider combined queries to both data from event streams and from a database.
Brodt, Simon, Bry, François
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Duplicate elimination algorithm for data streams with SKIP Bloom filter
Tongxin xuebao, 2012 According to the dynamic characteristics of data streams,a duplicate elimination algorithm was proposed with low time complexity and high accuracy based on SKIP Bloom filter.A moving cursor and double Bloom filter were used to differentiate history data ...
Hai-na TANG, Xiao-la LIN, Chun-jing HAN
doaj
Learning CP-Nets Structure From Preference Data Streams
IEEE Access, 2018 With the sharp increase of digital data emerging at present, the data in new applications are generated fast. Continuous cumulative data have gradually become massive and difficult to be handled due to limited workspace and limited amount of time.
Zhaowei Liu +4 more
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Hellinger Distance Trees for Imbalanced Streams [PDF]
, 2014 Classifiers trained on data sets possessing an imbalanced class distribution are known to exhibit poor generalisation performance. This is known as the imbalanced learning problem.
Brooke, J. M. +3 more
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Proceedings of the 9th International Conference on Cloud Computing and Services Science, 2019 Nowadays many applications require to analyse the continuous flow of data produced by different data sources before the data is stored. Data streaming engines emerged as a solution for processing data on the fly. At the same time, computer architectures have evolved to systems with several interconnected CPUs and Non Uniform Memory Access (NUMA), where
Patiño Martínez, Marta +1 more
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Exploring complex and big data
International Journal of Applied Mathematics and Computer Science, 2017 This paper shows how big data analysis opens a range of research and technological problems and calls for new approaches. We start with defining the essential properties of big data and discussing the main types of data involved.
Stefanowski Jerzy +2 more
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IEEE Access, 2021 The Internet of Things (IoT) is constantly growing, generating an uninterrupted data stream pipeline to monitor physical world information. Hence, Artificial Intelligence (AI) continuously evolves, improving life quality and business and academic ...
Alejandro Carnero +5 more
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Knowledge-infused and Consistent Complex Event Processing over Real-time and Persistent Streams
, 2016 Emerging applications in Internet of Things (IoT) and Cyber-Physical Systems (CPS) present novel challenges to Big Data platforms for performing online analytics. Ubiquitous sensors from IoT deployments are able to generate data streams at high velocity,
Prasanna, Viktor +2 more
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Estimating Entropy of Data Streams Using Compressed Counting [PDF]
, 2009 The Shannon entropy is a widely used summary statistic, for example, network traffic measurement, anomaly detection, neural computations, spike trains, etc. This study focuses on estimating Shannon entropy of data streams.
Li, Ping
core
Ordering in bidirectional pedestrian flows and its influence on the fundamental diagram
, 2012 Experiments under laboratory conditions were carried out to study the ordering in bidirectional pedestrian streams and its influence on the fundamental diagram (density-speed-flow relation). The Voronoi method is used to resolve the fine structure of the
Klingsch, Wolfram +3 more
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