Zobrazeno 1 - 10
of 10 179
pro vyhledávání: '"Spark (mathematics)"'
Publikováno v:
IEEE Transactions on Cloud Computing. 11:639-652
Apache Spark as a popular in-memory data analytic framework has been employed by various applications---such as machine learning, graph computation, and scientific computing, which benefit from the long-running process (e.g. executor) programming mod
Autor:
H. T. Manjula, Neha Mangla
Publikováno v:
Materials Today: Proceedings. 80:3492-3499
Distributed Denial of service (DDoS) attacks is an enormous threat to today’s cyber world, cyber networks are compromised by the attackers to distribute attacks in a large volume by denying the service to legitimate users. The toughest and challeng
Autor:
Benallal Mohamed Anis, Reguieg Hicham
Publikováno v:
Journal of King Saud University - Computer and Information Sciences. 34:8478-8489
Process mining is one of business process management techniques which is used to extract values from process execution logs. Process discovery algorithms, like alpha and heuristic miners, are used to automatically discover/rebuild business process mo
Autor:
M. Subaji, P. Shanmuga Sundari
Publikováno v:
Journal of King Saud University - Computer and Information Sciences. 34:8390-8400
The proposed work aims to solve data sparsity problem in the recommendation system. It handles two-level pre-processing techniques to reduce the data size at the item level. Additional resources like items genre, tag, and time are added to learn and
Autor:
Sunil Kumar, Krishna Kumar Mohbey
Publikováno v:
Journal of King Saud University - Computer and Information Sciences. 34:6491-6503
In recent days, social media, online services, smartphones, and the Internet of Things (IoT) produces large quantities of data every second. The generated data is structured, unstructured, or semi-structured and available in various formats. Therefor
Publikováno v:
Journal of King Saud University - Computer and Information Sciences. 34:4968-4982
The healthcare industry has become increasingly challenging, requiring retrieval of knowledge from large amounts of complex data to find the best treatments. Several works have suggested the use of Data Mining tools to overcome the challenges; howeve
Publikováno v:
IEEE Transactions on Services Computing. 15:2883-2896
Distributed in-memory computing frameworks usually have lots of parameters (e.g., the buffer size of shuffle) to form a configuration for each execution. A well-tuned configuration can bring large improvements of performance. However, to improve reso
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:7708-7720
When dealing with traffic big data under the background of Internet of Things (IoT), traffic control under the single-machine computing environment is difficult to adapt to the massive and rapid analysis and decision-making. To tackle this problem, w
Autor:
Deepa Merlin Dixon K, Binu Ayyappan, Jaison Mulerikkal, Vinith Rejathalal, Sajanraj Thandassery
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:9146-9156
This paper deals with an intelligent data analytics platform - Jaison-Paul Data Analytics Platform (JP-DAP) - for metro rail transport systems. JP-DAP is intended to ensure smooth functioning, improved customer experience, ridership forecasting, and
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 33:1407-1420
Many geo-distributed data analytics (GDA) systems have focused on the network performance-bottleneck: inter-data center network bandwidth to improve performance. Unfortunately, these systems may encounter a cost-bottleneck ( ${\$}$ $ ) because they h