Results 11 to 20 of about 11,102,357 (292)
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, 2015 We propose LASH, a scalable, distributed algorithm for mining sequential patterns in the presence of hierarchies. LASH takes as input a collection of sequences, each composed of items from some application-specific vocabulary. In contrast to traditional approaches to sequence mining, the items in the vocabulary are arranged in a hierarchy: both input ...
Kaustubh Beedkar, Rainer Gemulla
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Evolutionary approach for large-Scale mine scheduling
Information Sciences, 2020 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Elsayed, S +3 more
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Mining Traces of Large Scale Systems [PDF]
, 2005 Large scale distributed computing infrastructure captures the use of high number of nodes, poor communication performance and continously varying resources that are not available at any time. In this paper, we focus on the different tools available for mining traces of the activities of such aforementioned architecture.
Cérin, Christophe, Koskas, Michel
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Distributed mining of convoys in large scale datasets
GeoInformatica, 2021 Tremendous increase in the use of the mobile devices equipped with the GPS and other location sensors has resulted in the generation of a huge amount of movement data. In recent years, mining this data to understand the collective mobility behavior of humans, animals and other objects has become popular.
Faisal Orakzai +2 more
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Adaptive Partitioning for Large-Scale Dynamic Graphs [PDF]
, 2013 —In the last years, large-scale graph processing has gained increasing attention, with most recent systems placing particular emphasis on latency. One possible technique to improve runtime performance in a distributed graph processing system is to reduce
Martella, Claudio +13 more
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On Accelerating Ultra-Large-Scale Mining
2017 IEEE/ACM 39th International Conference on Software Engineering: New Ideas and Emerging Technologies Results Track (ICSE-NIER), 2017 Ultra-large-scale mining has been shown to be useful for a number of software engineering tasks e.g. mining specifications, defect prediction. We propose a new research direction for accelerating ultra-large-scale mining that goes beyond parallelization.
Ganesha Upadhyaya, Hridesh Rajan
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Advances and visions in large-scale hydrological modelling : findings from the 11th Workshop on Large-Scale Hydrological Modelling [PDF]
, 2008 Large-scale hydrological modelling has become increasingly wide-spread during the last decade. An annual workshop series on large-scale hydrological modelling has provided, since 1997, a forum to the German-speaking community for discussing recent ...
K. Berkhoff +21 more
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Efficient monitoring of large scale infrastructure as a service clouds [PDF]
, 2015 Cloud computing has had a transformative effect upon distributed systems research. It has been one of the precursors of supposed big data revolution and has amplified the scale of software, networks, data and deployments.
Ward, Jonathan Stuart
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Advances in Civil Engineering, 2021 The existence of large-scale weak zone will have a great adverse impact on coal mining in high confined aquifer. Taking the Wutongzhuang Coal Mine which is threatened by high-pressure water as an example, this paper studies the difference between the ...
Jing Jia +10 more
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Large-Scale Image Mining with Flickr Groups [PDF]
, 2015 The availability of large annotated visual resources, such as ImageNet, recently led to important advances in image mining tasks. However, the manual annotation of such resources is cumbersome. Exploiting Web datasets as a substitute or complement is an interesting but challenging alternative.
Ginsca, Alexandru Lucian +5 more
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