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The surge in big data and analytics has catalysed the proliferation of cybercrime, largely driven by organisations’ intensified focus on gathering and processing personal data for profit while often overlooking security considerations.
Cephas Mpungu +2 more
doaj +1 more source
This graphical abstract illustrates the cloud‐based GWAS platform as a hub that integrates six major multiomics domains: phenomics, neuroscience, proteomics, microbiomics, metabolomics, and nutrigenomics. The platform unifies diverse data types—including clinical phenotypes, neuroimaging, plasma proteomics, microbiome profiles, metabolic biomarkers ...
Xiaohong Ke +12 more
wiley +1 more source
Multi‐Omics‐Augmented GWAS for Crop Improvement: From Mechanisms to Breeding
This review presents an integrated framework that synergises multi‐omics with GWAS and machine learning to decode the genetic basis of complex agronomic traits, bridging biological discovery to precision breeding for climate‐resilient crops. ABSTRACT Global food security demands innovative strategies to enhance crop resilience and productivity amidst ...
Naimatullah Mangi +17 more
wiley +1 more source
Architecture design of coal mine data center based on Hadoop
According to business requirements of coal mine safety production and development requirements of smart mine, the new coal mine data center needs to meet efficient processing, caching, calculation, storage and release of massive and multivariate data of ...
HAN An
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A Systematic Overview of Caching Mechanisms to Improve Hadoop Performance
ABSTRACT In today's distributed computing environments, the rapid generation of large‐scale data from diverse sources poses significant challenges in terms of storage, management, and processing, particularly for traditional relational databases. Hadoop has emerged as a widely adopted framework for handling such data through parallel processing across ...
Rana Ghazali, Douglas G. Down
wiley +1 more source
A Pattern‐Referencing Model for Hourly Temperature Forecasting in Coastal Regions
A novel pattern‐referencing model forecasts hourly temperatures in Taiwan's southwestern coastal region. It robustly handles missing data, achieving high accuracy (MAE 0.323°C–0.539°C, RMSE 0.450°C–0.807°C) even during extreme weather, offering a practical solution for real‐time decision‐making.
Nan‐Jing Wu, Fan‐Hua Nan
wiley +1 more source
Finding Top- $k$ Dominance on Incomplete Big Data Using MapReduce Framework
Incomplete data is one major kind of multi-dimensional dataset that has random-distributed missing nodes in its dimensions. It is very difficult to retrieve information from this type of dataset when it becomes large.
Payam Ezatpoor +3 more
doaj +1 more source
High-performance and high-concurrency encryption scheme for Hadoop platform
To address the problem that as preventing data leakage on Hadoop platform,the existing encryption schemes suffer from several problems (e.g.,single encryption algorithm,complicated key management,low encryption performance) and they cannot protect data ...
Wei JIN +4 more
doaj +2 more sources
Slicing and Dictionaries: A New Approach to Medical Big Data
We present SliceDB, a dual‐dimensional data partitioning framework that optimizes healthcare data access through strategic row‐wise and column‐wise slicing coupled with semantic dictionaries, enabling efficient querying of massive clinical datasets on standard computing resources without specialized database expertise.
Jing Zhang +3 more
wiley +1 more source
MASSIVE SIMULATIONS USING MAPREDUCE MODEL
In the last few years cloud computing is growing as a dominant solution for large scale numerical problems. It is based on MapReduce programming model, which provides high scalability and flexibility, but also optimizes costs of computing infrastructure.
Artur Krupa, Bartosz Sawicki
doaj +1 more source

