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MuDi-Stream: A multi density clustering algorithm for evolving data stream
Published 2016“…Density-based method has emerged as a worthwhile class for clustering data streams. Recently, a number of density-based algorithms have been developed for clustering data streams. …”
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Approximation algorithms for mining patterns from data streams
Published 2008“…The contributions of this research are claimed as follows: A novel algorithm named EStream is developed to address the problem of online mining frequent patterns from data streams with precise error guarantee.…”
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Thesis -
3
Comparison analysis of stream cipher algorithms for digital communication
Published 2007“…The stream cipher algorithms evaluated are based on the linear feedback shift register (LFSR) with nonlinear combining function. …”
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Hardware Implementation Of Rc4a Stream Cipher Algorithm
Published 2007“…The implementation is able to support variable key lengths from 8 bits up to 512 bits. Unlike other stream ciphers, the proposed implementation generates two output streams at a time, whereas others generate only one output stream. …”
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Thesis -
5
Video streaming performance under wellknown packet scheduling algorithms
Published 2011“…It is demonstrated via computer simulation that Proportional Fair (PF) algorithm outperforms other well-known algorithms by providing video streaming QoS at acceptable levels whilst maximizing cell throughput. …”
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On density-based data streams clustering algorithms: A survey
Published 2017“…Recently, a lot of density-based clustering algorithms are extended for data streams. The main idea in these algorithms is using density-based methods in the clustering process and at the same time overcoming the constraints, which are put out by data stream’s nature. …”
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Conference or Workshop Item -
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Practical algorithm for minimum delay peer-to-peer media streaming
Published 2011“…Though the existence of a minimum delay peer-to-peer media streaming scheme has been shown (under the name of snowball streaming), no actual algorithm has ever been designed so far, due to the lack of a systematic way to construct the chunk scheduling that achieves the minimum delay bound. …”
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Conference Paper -
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Embeddings of Schatten norms with applications to data streams
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Journal Article -
9
A study of density-grid based clustering algorithms on data streams
Published 2011“…Several clustering algorithms have been introduced for data streams based on distance which are incompetent to find cluster of arbitrary shapes and cannot handle the outliers. …”
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Conference or Workshop Item -
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On approximating matrix norms in data streams
Published 2021“…When p is not an even integer, we show that any one-pass algorithm with constant success probability requires near-linear space in terms of bits. …”
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Journal Article -
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An online density-based clustering algorithm for data stream based on local optimal radius and cluster pruning
Published 2019“…BOCEDS clusters the data stream in a single stage. The algorithm summarizes the data from data stream in micro-clusters. …”
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Thesis -
14
A novel drift detection algorithm based on features’ importance analysis in a data streams environment
Published 2020“…The RFFT algorithm implements solutions inspired by the Random Forest algorithm to the data stream scenarios. …”
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Journal Article -
15
Advanced classification for streaming time series and data streams
Published 2013“…Conventional stream mining algorithms only focus on stand-alone mining tasks. …”
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Thesis -
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Data stream mining
Published 2009“…The essential to a data stream mining algorithms is that we can only read data once. …”
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Final Year Project (FYP) -
18
Data stream mining
Published 2010“…Data streaming is one area of data mining that has been studied extensively. …”
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Final Year Project (FYP) -
19
RunStream: A High-Level Rapid Prototyping Framework for Stream Ciphers
Published 2016“…We present RunStream, a rapid prototyping framework for realizing stream cipher implementations based on algorithmic specifications and architectural customizations desired by the users. …”
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Journal Article -
20
Concurrent data stream mining
Published 2009“…We implemented and evaluated the algorithm. The performance evaluation showed that the performance of MM-Stream is comparable or better than existing standalone stream mining algorithms (D-Stream, On-Demand-Stream classifier). …”
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Final Year Project (FYP)