Which filtering method is described as a technique looking for matches based on specific rules?

Rule-Based Filtering is a technique that operates by applying specific rules to identify and match data. This method utilizes predetermined criteria or conditions set by the user or system administrator to sift through data, looking for exact matches or specific characteristics. The rules can define various parameters, such as certain keywords, patterns, or value ranges, allowing the filter to categorize or reject data accordingly.

This approach is highly effective in scenarios where precise control over the filtering process is required, as it allows users to tailor the filtering criteria to their specific needs. For instance, in spam detection, rule-based filtering can effectively identify unsolicited emails based on set rules that detect common spam characteristics, such as phrases or sender addresses.

In contrast, methods such as hybrid filtering combine multiple filtering techniques, delay-based filtering focuses on time-sensitive data, and content or keyword filtering primarily looks for specific words or topics in the content. While all these methods serve the purpose of filtering, rule-based filtering's emphasis on adhering to explicit rules makes it distinct and applicable in various scenarios where precision and customization are key.