Systematic review of clustering high-dimensional and large datasets
D Pandove, S Goel, R Rani - … on Knowledge Discovery from Data (TKDD …, 2018 - dl.acm.org
Technological advancement has enabled us to store and process huge amount of data in
relatively short spans of time. The nature of data is rapidly changing, particularly its …
relatively short spans of time. The nature of data is rapidly changing, particularly its …
Cyber physical systems design, methodology, and integration: the current status and future outlook
A Darwish, AE Hassanien - Journal of Ambient Intelligence and …, 2018 - Springer
Emerging cyber-physical systems (CPS) field will impact on every activity of the daily life in
the next few years With the increasing advances in ICT information communication …
the next few years With the increasing advances in ICT information communication …
Benchmarking big data architectures for social networks data processing using public cloud platforms
When considering popular On-line Social Networks (OSN) containing heterogeneous
multimedia data sources, the complexity of the underlying processing systems becomes …
multimedia data sources, the complexity of the underlying processing systems becomes …
Bigdatabench: A scalable and unified big data and ai benchmark suite
Several fundamental changes in technology indicate domain-specific hardware and
software co-design is the only path left. In this context, architecture, system, data …
software co-design is the only path left. In this context, architecture, system, data …
Hadoop configuration tuning with ensemble modeling and metaheuristic optimization
X Hua, MC Huang, P Liu - IEEE Access, 2018 - ieeexplore.ieee.org
MapReduce is a popular programming model for big data processing. Although the
distributed processing framework Hadoop greatly reduced the development complexity of …
distributed processing framework Hadoop greatly reduced the development complexity of …
Discovering mobile application usage patterns from a large-scale dataset
FA Silva, ACSA Domingues, TRMB Silva - ACM Transactions on …, 2018 - dl.acm.org
The discovering of patterns regarding how, when, and where users interact with mobile
applications reveals important insights for mobile service providers. In this work, we exploit …
applications reveals important insights for mobile service providers. In this work, we exploit …
Data motif-based proxy benchmarks for big data and AI workloads
For the architecture community, reasonable simulation time is a strong requirement in
addition to performance data accuracy. However, emerging big data and AI workloads are …
addition to performance data accuracy. However, emerging big data and AI workloads are …
[PDF][PDF] BigDataBench: a dwarf-based big data and AI benchmark suite
BigDataBench: A Dwarf-based Big Data and AI Benchmark Suite Page 1 IN STITU TE O F C
O M P U TIN GT E C H N O L O GY BigDataBench: A Dwarf-based Big Data and AI …
O M P U TIN GT E C H N O L O GY BigDataBench: A Dwarf-based Big Data and AI …
Pretopology and Topic Modeling for Complex Systems Analysis: Application on Document Classification and Complex Network Analysis
QV Bui - 2018 - theses.hal.science
The work of this thesis presents the development of algorithms for document classification
on the one hand, or complex network analysis on the other hand, based on pretopology, a …
on the one hand, or complex network analysis on the other hand, based on pretopology, a …
Cobell: Runtime prediction for distributed dataflow jobs in shared clusters
Distributed dataflow systems have been developed to help users analyze and process large
datasets. While they make it easier for users to develop massively-parallel programs, users …
datasets. While they make it easier for users to develop massively-parallel programs, users …