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Meaning of knowledge discovery
The primary meaning of "knowledge discovery" refers to the process of identifying and extracting useful, previously unknown, or hidden patterns, relationships, or insights from large datasets or sources of information.
Etymology of knowledge discovery
The term "knowledge discovery" originated in the 1980s, derived from the concept of discovering new knowledge or insights from data, which has its roots in the Latin words "scientia" (knowledge) and "discoverire" (to discover).
Historically, the concept of knowledge discovery has evolved from manual, labor-intensive processes to automated, computer-based techniques, driven by advances in data storage, processing power, and machine learning algorithms.
Synonyms
Definitions
- The process of automatically searching large stores of data for patterns and relationships, typically using computer-based techniques: knowledge discovery in databases is an important area of research.
- The process of extracting useful knowledge or insights from data, typically using automated methods: the goal of knowledge discovery is to identify valid, novel, and potentially useful patterns.
Usage Examples
- The company uses knowledge discovery techniques to analyze customer data and identify new marketing opportunities.
- Researchers applied knowledge discovery methods to the large dataset, revealing previously unknown relationships between genetic factors and disease susceptibility.
- The knowledge discovery process involved using machine learning algorithms to identify patterns in the financial data, which helped detect fraudulent transactions.