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Big Data

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Detecting Reconnaissance and Discovery Tactics from the MITRE ATT&CK Framework in Zeek Conn Logs Using Spark's Machine Learning in the Big Data Framework.

Sensors (Basel, Switzerland)
While computer networks and the massive amount of communication taking place on these networks grow, the amount of damage that can be done by network intrusions grows in tandem. The need is for an effective and scalable intrusion detection system (ID...

New Algorithm of Traditional Chinese Medicine and Protection of Intangible Cultural Heritage Based on Big Data Deep Learning.

BioMed research international
Traditional Chinese medicine (TCM) is a summary of the diagnosis and treatment experience formed by the working people in the long-term struggle against diseases, so it is very important to protect the intangible cultural heritage of TCM. How to extr...

Multi-Task Assignment Method of the Cloud Computing Platform Based on Artificial Intelligence.

Computational intelligence and neuroscience
To realize load balancing of cloud computing platforms in big data processing, the method of finding the optimal load balancing physical host in the algorithm cycle is adopted at present. This optimal load balancing strategy that overly focuses on th...

Financial Data Mining Model Based on K-Truss Community Query Model and Artificial Intelligence.

Computational intelligence and neuroscience
With the continuous development of Internet technology and related industries, emerging technologies such as big data and cloud computing have gradually integrated into and influenced social life. Emerging technologies have, to a large extent, revolu...

Sustainable Trend of Big Data in Enterprise Supply Chain Under the Artificial Intelligence Green Financial System.

Journal of environmental and public health
Today, with the rapid development of the Internet, society has entered the era of "information explosion." Financial data are a particularly important part of network information, and it has also reached a new level of public demand. The frequent app...

Analysis of Structured Data in Biomedicine Using Soft Computing Techniques and Computational Analysis.

Computational intelligence and neuroscience
In the field of biomedicine, enormous data are generated in a structured and unstructured form every day. Soft computing techniques play a major role in the interpretation and classification of the data to make appropriate decisions for making polici...

Artificial Intelligence and Big Data Science in Neurocritical Care.

Critical care clinics
In recent years, the volume of digitalized web-based information utilizing modern computer-based technology for data storage, processing, and analysis has grown rapidly. Humans can process a limited number of variables at any given time. Thus, the de...

Higher Education Environment Monitoring and Quality Assessment Model Using Big Data Analysis and Deep Learning.

Journal of environmental and public health
A university exists to help students develop their skills. The goal of university development is to raise the standard of personnel training, and the core component of university development is teaching quality. Whether the level of practical trainin...

The Emerging Trends of Multi-Label Learning.

IEEE transactions on pattern analysis and machine intelligence
Exabytes of data are generated daily by humans, leading to the growing needs for new efforts in dealing with the grand challenges for multi-label learning brought by big data. For example, extreme multi-label classification is an active and rapidly g...