Results 51 to 60 of about 9,135 (230)
Recognizing Indonesian Acronym and Expansion Pairs with Supervised Learning and MapReduce
Information, 2020 During the previous decades, intelligent identification of acronym and expansion pairs from a large corpus has garnered considerable research attention, particularly in the fields of text mining, entity extraction, and information retrieval.
Taufik Fuadi Abidin +4 more
doaj +1 more source
PUC: parallel mining of high-utility itemsets with load balancing on spark
Journal of Intelligent Systems, 2022 Distributed programming paradigms such as MapReduce and Spark have alleviated sequential bottleneck while mining of massive transaction databases. Of significant importance is mining High Utility Itemset (HUI) that incorporates the revenue of the items ...
Brahmavar Anup Bhat +2 more
doaj +1 more source
Journal of Intelligent Systems, 2022 Recently, big data analytics have gained significant attention in healthcare industry due to generation of massive quantities of data in various forms such as electronic health records, sensors, medical imaging, and pharmaceutical details.
Bhukya Hanumanthu, Manchala Sadanandam
doaj +1 more source
An AI knowledge‐based system for police assistance in crime investigation
Expert Systems, Volume 42, Issue 1, January 2025.Abstract The fight against crime is often an arduous task overall when huge amounts of data have to be inspected, as is currently the case when it comes for example in the detection of criminal activity on the dark web. This work presents and describes an artificial intelligence (AI) based system that combines various tools to assist police or law ...
Carlos Fernandez‐Basso +4 more
wiley +1 more source
Big Data Analytics in Online Structural Health Monitoring
International Journal of Prognostics and Health Management, 2016 This manuscript explores the application of big data analytics in online structural health monitoring. As smart sensor technology is making progress and low cost online monitoring is increasingly possible, large quantities of highly heterogeneous data ...
Guowei Cai, Sankaran Mahadevan
doaj +1 more source
Zhejiang Daxue xuebao. Lixue ban, 2014 随着卫星定位技术和移动互联网技术的飞速发展，地理空间数据来源变得更加多源异构.面对海量地理空间数据，如何快速有效地找到目标周围的兴趣点变得异常重要.依据空间k近邻(kNN)查询算法，提高效率的关键在数据索引和数据块存储结构设计，通过引入云计算的MapReduce编程模型，设计了一种面向MapReduce的地理空间数据双层倒排网格索引，利用CircularTrip算法实现了目标点近邻查询计算，最终获得距离目标点最邻近的数据点集.实验结果表明，该索引方法较单层倒排网格索引下的kNN查询效率有明显提高 ...
ZHAOMinchao(赵敏超) +4 more
doaj +1 more source
Parallel Computation of Rough Set Approximations in Information Systems with Missing Decision Data
Computers, 2018 The paper discusses the use of parallel computation to obtain rough set approximations from large-scale information systems where missing data exist in both condition and decision attributes.
Thinh Cao +4 more
doaj +1 more source
Cytometry Part A, Volume 105, Issue 11, Page 816-828, November 2024.Abstract Imaging flow cytometry (IFC) provides single‐cell imaging data at a high acquisition rate. It is increasingly used in image‐based profiling experiments consisting of hundreds of thousands of multi‐channel images of cells. Currently available software solutions for processing microscopy data can provide good results in downstream analysis, but ...
Maxim Lippeveld +3 more
wiley +1 more source
Distributing relational model transformation on MapReduce [PDF]
Journal of Systems and Software, 2018 MDE has been successfully adopted in the production of software for several domains. As the models that need to be handled in MDE grow in scale, it becomes necessary to design scalable algorithms for model transformation (MT) as well as suitable frameworks for storing and retrieving models efficiently. One way to cope with scalability is to exploit the
Amine Benelallam +3 more
openaire +5 more sources
WIREs Data Mining and Knowledge Discovery, Volume 14, Issue 6, November/December 2024.Visualizing a Decade of MapReduce‐Based Clustering Research: A Bibliometric Review (2013–2023). Leveraging digital text‐mining and data analysis tools, this study assesses the evolution, impact, and challenges of MapReduce‐enabled partitioning, hierarchical, and density clustering algorithms. Key findings include trends in scholarly output, influential
Tanvir Habib Sardar
wiley +1 more source