Efficient Frequent Pattern Mining in Data Streams
نویسندگان
چکیده
منابع مشابه
Frequent Pattern Mining in Data Streams
Frequent pattern mining is a core data mining operation and has been extensively studied over the last decade. Recently, mining frequent patterns over data streams have attracted a lot of research interests. Compared with other streaming queries, frequent pattern mining poses great challenges due to high memory and computational costs, and accuracy requirement of the mining results. In this cha...
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Proefschrift voorgelegd tot het behalen van de graad van Doctor in de Wetenschappen, richting Informatica te verdedigen door Acknowledgements Many people have contributed to the realization of this thesis. First an foremost, I am grateful to my advisor Jan Van den Bussche for his guidance throughout my doctoral studies and all the time and effort he put in the development of me and my work. The...
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Nowadays, streams of data can be continuously generated by sensors in various real-life applications such as environment surveillance. Partially due to the inherited limitation of the sensors, data in these streams can be uncertain. To discover useful knowledge in the form of frequent patterns from streams of uncertain data, a few algorithms have been developed. They mostly use the sliding wind...
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As technology advances, streams of data can be produced in many applications such as social networks, sensor networks, bioinformatics, and chemical informatics. These kinds of streaming data share a property in common—namely, they can be modeled in terms of graph-structured data. Here, the data streams generated by graph data sources in these applications are graph streams. To extract implicit,...
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The increasing importance of data stream arising in a wide range of advanced applications has led to the extensive study of mining frequent patterns. Mining data streams poses many new challenges amongst which are the one-scan nature, the unbounded memory requirement and the high arrival rate of data streams. In this paper, we propose a new approach for mining itemsets on data stream. Our appro...
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ژورنال
عنوان ژورنال: IOP Conference Series: Earth and Environmental Science
سال: 2019
ISSN: 1755-1315
DOI: 10.1088/1755-1315/234/1/012066