// MODEL OPTIMIZATION AND PROMPT SYNTAX TERM
Data Mining
The process of discovering patterns, insights, and knowledge from large datasets using various analytical techniques.
TECHNICAL DEFINITION
Data mining is the computational process of discovering patterns and insights from large datasets, often involving techniques from machine learning, statistics, and database systems, to extract valuable information for decision-making.
BACKGROUND
Generative artificial intelligence (GenAI) is a subfield of artificial intelligence (AI) that uses generative models to generate text, images, videos, audio, software code or other forms of data. These models learn the underlying patterns and structures of their training data, and use them to generate new data in response to input, which often takes the form of natural language prompts.
READ MORE ON WIKIPEDIASYNONYMS & ALIASES
- Knowledge discovery
- pattern extraction
- data analysis
USAGE NOTE
Businesses use data mining to understand customer behavior, predict trends, and optimize operations.
DEVELOPERS
Organizations developing technology related to Data Mining.
Develops data analysis platforms like Gotham and Foundry, which are used by government agencies and large corporations for complex data mining tasks to identify patterns and relationships within massive datasets.
A global leader in analytics software, providing a suite of products for advanced analytics, business intelligence, and data management. Their software is fundamentally designed for data mining and statistical analysis.
Offers numerous data mining tools, including the SPSS Modeler and components within the Watson AI platform. These tools enable businesses to build predictive models and uncover insights from their data.
Integrates data mining capabilities directly into its database products with Oracle Data Mining (ODM). This allows users to build and apply predictive models on data stored within the Oracle Database.
Provides an analytics automation platform that allows users to prepare, blend, and analyze data. The platform's visual workflow design is widely used for data mining and building complex analytical models without coding.
A data science platform that provides an integrated environment for data preparation, machine learning, and predictive model deployment. It is specifically designed to accelerate the process of data mining.
An open-source data analytics, reporting, and integration platform. KNIME (Konstanz Information Miner) allows users to create visual data science workflows for data mining and machine learning tasks.
Provides data mining tools through its Azure Machine Learning platform and SQL Server Analysis Services (SSAS). These services enable the creation of predictive models using various algorithms on large-scale datasets.