Neuromining: Definition, Purpose, and Discussion!
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| Neuromining: Definition, Purpose, and Discussion! |
Neuromining: Definition, Purpose, and Discussion!
MR JIM | The following is an article posting in the Artificial Intelligence category which discusses an explanation of the meaning, definition and meaning of the term neuromining based on a summary of various types of relevant, related and reliable sources (references).
What is actually meant by neuromining ?
Neuromining is the process of applying various behavioral intelligence and machine learning (ML) techniques to analyze human behavior.
The goal is to understand human behavior in depth in order to manipulate and influence it on a scale.
Instead of limiting data sources to online user activity and survey participants, neuromining takes advantage of neurological mapping to create synthetic data independent of direct user interaction.
While traditional data mining and analytics techniques focus on extracting information and insights directly from data, neuromining skips the hypothesis stage and provides a thorough understanding of behavior patterns in test subjects – often customers and users.
Neuromining is an advanced application of behavioral and intelligence analysis aimed at better customer relationships with brands.
This allows the service to provide a customized experience for each user, not only based on their interests and past activities but based on how they react on a deeper level.
Combining artificial intelligence (AI) – and its subset ML – with behavioral science allows neurosurgery to describe and understand which human systems are dominant across diverse user sets.
At its core, neuromining is an upgrade to known behavior engineering techniques.
Neuromining can be used to better predict which sales and advertising messages will work best for which individual people.
Not to mention, the insights gathered by neuromining can provide personalized recommendations that go beyond the outward behavior of individuals or groups.
Discussion of what is the definition, meaning, and technical terms of the word neuromining
Illustration of a discussion picture of what is the meaning and definition of the term, acronym, technical jargon, or neuromining terminology
Well, so that we can go deeper into the meaning of the explanation and intent of the acronym or word mentioned above, of course we also need to understand more deeply about the discussion about what is the meaning, meaning and acronym, term, jargon or terminology of neuromining .
The practice of Neuromining is an increase in data collection in response to the devaluation of personal data collecting traditional ways.
According to behavioral tracking measures, 40% of consumers will invalidate personal data and information (providing false information or clicking on ads they are not interested in to thwart algorithms, for example) to make it more difficult to monetize by 2024.
Despite a substantial increase in the number of Internet users and the volume of data generated, privacy-aware and data protection laws are stronger than ever.
Neuromining is a way to collect data and generate useful insights for product growth and marketing without infringing on the privacy of their customers and clients.
This technology uses AI and ML to generate data synthetically, not organically.
Done right using trained AI and ML software, synthetic data can be just as valuable and insightful as its organic counterparts but without the risk of damage in the event of a data breach or leak.
Behavioral intelligence on synthetic data
Synthetic data comes in all shapes and sizes, from audio and text files to media.
Neuromining, however, focuses on specific types of data that are artificially generated with the goal of further understanding and manipulating user behavior.
In addition, neuromining is a more instantaneous method of obtaining data that is not limited by organization or sample size.
It also allows the nerves to dive deeper into previously unexplored territory.
In addition, neuromining has the capability and potential to become a self-feeding loop, where neurons extract data used to train AI and ML systems which, in turn, enable better neuromining.
Synthetic data is already being used to train ML applications that work in the real world and far beyond limited ecosystems.
Neuromining Challenge
Neuromining for data is easier said than done.
Basing data and insights on prior knowledge is sufficient for analyzing past events and occurrences, but it does not make for reliable insights and predictability.
While AI systems can help the nervous system grow and evolve well into future user behavior and predictions, the process requires massive amounts of computing power and honest collaboration between third-party service providers to make this happen.
As we have seen above, this term is one of a collection of dictionaries, acronyms, terms, jargon or terminology in the field of technology that begin with the alphabet or prefix N, and are terms related to Artificial Intelligence with the Machine Learning subcategory .
Neuromining Meaning in Indonesian and English Translated Dictionary
In addition to discussing the meaning and discussion of the definition, to further deepen it, here we also need to know what the word neuromining means in Indonesian and English translation dictionaries.
To make it easier to understand, in this article we will describe it in the form of Indonesian and English translation tables as follows.
- Type | Indonesian | English
- Terminology | neuromining | neuromining
- Category | artificial intelligence | artificial intelligence
Closing
All right, above is a discussion and explanation of what neuromining means.
Hopefully posting the articles that we have shared can be useful and can add insight to all of us.
