A resource aware distributed LSI algorithm for scalable information retrieval [PDF]
, 2011 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Latent Semantic Indexing (LSI) is one of the popular techniques in the information retrieval fields.
Liu, Yang
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MapReduce based RDF assisted distributed SVM for high throughput spam filtering [PDF]
, 2013 This thesis was submitted for the degree of Doctor of Philosophy and was awarded by Brunel UniversityElectronic mail has become cast and embedded in our everyday lives. Billions of legitimate emails are sent on a daily basis.
Caruana, Godwin
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Mammoth : gearing Hadoop towards memory-intensive MapReduce applications [PDF]
, 2015 The MapReduce platform has been widely used for large-scale data processing and analysis recently. It works well if the hardware of a cluster is well configured.
Hai Jin +15 more
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Hadoop Performance Analysis Model with Deep Data Locality
Information, 2019 Background: Hadoop has become the base framework on the big data system via the simple concept that moving computation is cheaper than moving data. Hadoop increases a data locality in the Hadoop Distributed File System (HDFS) to improve the performance ...
Sungchul Lee, Ju-Yeon Jo, Yoohwan Kim
doaj +1 more source
Attribute based honey encryption algorithm for securing big data: Hadoop distributed file system perspective [PDF]
PeerJ Computer Science, 2020 Hadoop has become a promising platform to reliably process and store big data. It provides flexible and low cost services to huge data through Hadoop Distributed File System (HDFS) storage.
Gayatri Kapil +5 more
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CloudDOE: a user-friendly tool for deploying Hadoop clouds and analyzing high-throughput sequencing data with MapReduce. [PDF]
PLoS ONE, 2014 BackgroundExplosive growth of next-generation sequencing data has resulted in ultra-large-scale data sets and ensuing computational problems. Cloud computing provides an on-demand and scalable environment for large-scale data analysis.
Wei-Chun Chung +9 more
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OEHadoop: Accelerate Hadoop Applications by Co-Designing Hadoop With Data Center Network
IEEE Access, 2018 Big data applications in Hadoop usually cause heavy bandwidth demand and network bottleneck in the current data center network (DCN). On one hand, the design of DCN does not take the traffic demand and the traffic patterns of Hadoop applications into ...
Yinan Tang +7 more
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Optimised Transformation Algorithm For Hadoop Data Loading in Web ETL Framework [PDF]
EAI Endorsed Transactions on Scalable Information Systems, 2020 Web ETL unlike conventional ETL framework requires considerable improvements in all the three layers i.e. Extraction, Transformation and Loading due to the inherent nature of web input data.
Gaurav Gupta +2 more
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Using Hadoop to implement a semantic method for assessing the quality of medical data [PDF]
Recent technological advances in modern healthcare have lead to a vast wealth of patient data being collected. This data is not only utilised for diagnosis but also has the potential to be used for medical research.
Bonner, Stephen Arthur Robert
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An Intrusive Analyzer for Hadoop Systems Based on Wireless Sensor Networks
International Journal of Distributed Sensor Networks, 2014 Owing to the acceleration of IoT- (Internet of Things-) based wireless sensor networks, cloud-computing services using Big Data are rapidly growing. In order to manage and analyze Big Data efficiently, Hadoop frameworks have been used in a variety of ...
Byoung-Jin Bae +4 more
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