Results 61 to 70 of about 2,924 (186)
Scalable Matching and Clustering of Entities with FAMER
Complex Systems Informatics and Modeling Quarterly, 2018 Entity resolution identifies semantically equivalent entities, e.g. describing the same product or customer. It is especially challenging for Big Data applications where large volumes of data from many sources have to be matched and integrated.
Alieh Saeedi +3 more
doaj +1 more source
Applied Computational Intelligence and Soft Computing, Volume 2025, Issue 1, 2025.Stroke disease has been the leading cause of death globally for the last several decades. Thus, the death rate can be decreased by early recognition of disease and ongoing surveillance. However, the largest obstacle to perform advanced analytics using the conventional approach is the growth of massive amount of data from various sources, including ...
Assefa Senbato Genale +2 more
wiley +1 more source
International Journal of Intelligent Systems, Volume 2025, Issue 1, 2025.Intelligent systems have been widely used in various fields. They generate a large number of high‐dimensional time series monitoring data in the process of operation, which often hide various potential abnormal conditions, which bring hidden dangers to the stable operation of the system.
Feng Ye +4 more
wiley +1 more source
Edge and cluster computing as enabling infrastructure for Internet of Medical Things [PDF]
, 2018 (c) 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or ...
Giordano, Andrea +2 more
core +1 more source
SLA-Based Adaptation Schemes in Distributed Stream Processing Engines
Applied Sciences, 2019 With the upswing in the volume of data, information online, and magnanimous cloud applications, big data analytics becomes mainstream in the research communities in the industry as well as in the scholarly world.
Muhammad Hanif +3 more
doaj +1 more source
Automatically Leveraging MapReduce Frameworks for Data-Intensive Applications
, 2018 MapReduce is a popular programming paradigm for developing large-scale, data-intensive computation. Many frameworks that implement this paradigm have recently been developed.
Cheung Alvin +2 more
core +1 more source
Probabilistic Graphical Models on Multi-Core CPUs using Java 8 [PDF]
, 2016 In this paper, we discuss software design issues related to the development of parallel computational intelligence algorithms on multi-core CPUs, using the new Java 8 functional programming features.
Borchani, Hanen +2 more
core +2 more sources
Managing Measurement and Occurrence Uncertainty in Complex Event Processing Systems
IEEE Access, 2019 Complex event processing (CEP) is a powerful technology for analyzing streams of real-time events, coming from different sources, and for extracting conclusions from them.
Nathalie Moreno +3 more
doaj +1 more source
Spatiotemporal Aspects of Big Data
Applied Computer Systems, 2018 Data has evolved into a large-scale data as big data in the recent era. The analysis of big data involves determined attempts on previous data. As new era of data has spatiotemporal facts that involve the time and space factors, which make them distinct ...
Karim Saadia +2 more
doaj +1 more source
The Ubiquity of Large Graphs and Surprising Challenges of Graph Processing: Extended Survey
, 2019 Graph processing is becoming increasingly prevalent across many application domains. In spite of this prevalence, there is little research about how graphs are actually used in practice.
Lin, Jimmy +4 more
core +1 more source