영어에서 User behavior 을 사용하는 예와 한국어로 번역
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Colloquial
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Ecclesiastic
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Ecclesiastic
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Programming
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Computer
Machine learning, heuristics analysis, and statistical analysis can be used to attribute the cause of user behavior to content exposure.
User Behavior Analytics identifies potentially malicious user activity and enables automated policy controls to secure your data and accounts.
Citrix Analytics applies machine learning to provide user behavior analytics and proactive security insights.
Apps installed on millions of android phones tracked user behavior to execute a multi-million-dollar ad fraud scheme[Source: Buzzfeed].
The statistical analysis module 224 may be used in the social networking system 100 to track the cause of user behavior with other modules.
Analyze user behavior data across cloud applications, including SaaS, IaaS, PaaS and IDaaS environments for correlated security insights.
In the Security Operations Center(SOC), SIEM combined with advanced user behavior analytics are the key enablers to identify and investigate insider threats.
The list of events can also be used to analyze application performance and detect user behavior trends, or to obtain other useful business information.
By using Akamai intelligent solutions, we were able to quickly respond to any changes in web content, user behavior, and connection quality on a real-time basis.
In another embodiment, the relationship data may be based on implicit user behavior.
The ability to scrape data from across multiple social media platforms, capturing user behavior patterns and comments are unprecedented.
This collected user behavior data is analyzed for behavioral profiling at block 208.
User behavior awareness and training should also continue to evolve with the threats, mobile researchers say.
This collected user behavior data is analyzed for behavioral profiling at block 208.
Enable third parties to aggregate anonymous user behavior data and provide such research data to Fidelis.
Freshsales is a full-fledged CRM with integrated phone and email, user behavior tracking, lead scoring, deal pipeline management and more.
Comprehensive botnet analysis and complex user behavior tracking, enable Finteza to detect 12 types of low-quality traffic from each channel.
User behavior profiling applying machine learning to reach higher context level by aggregating more data.
Depending on the warning and based on the driver's user behavior, the digital companion offers smart suggestions on how to proceed.