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Many environments currently employ machine learning models for data processing and analytics that were built using a limited number of training data points. Once deployed, the models are exposed to significant amounts of previously-unseen data, not a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::377e5bb3aee45c7823deb507ee71d8c1
http://arxiv.org/abs/2005.09787
http://arxiv.org/abs/2005.09787
Autor:
Mohammed Iftekhar, Bhavani Thuraisingham, Latifur Khan, Mohiuddin Solaimani, Joey Burton Ingram
Publikováno v:
CICS
Anomaly detection refers to identifying the patterns in data that deviate from expected behavior. These non-conforming patterns are often termed as outliers, malwares, anomalies or exceptions in different application domains. This paper presents a no
Autor:
Mengxia Zhu, Joey Burton Ingram
Publikováno v:
HPCC
Recent advances in high-throughput genomic technology, such as micro arrays, usually produce vast amounts of gene expression data under many experimental conditions. Analyzing such data is often difficult due to the colossal data size and the intensi