In data mining, linking occurrences to a single event is called:

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We start by restating the question and listing the options to ensure clarity on what is being evaluated.
Question: In data mining, linking occurrences to a single event is called:
Answer options: ["association.", "clustering.", "sequencing.", "classification."]

Option 1: association. This option is correct because association in data mining refers to discovering relationships or links between occurrences or items, often captured as associations or rules that show how often items occur together and relate to a particular event or outcome. It emphasizes connections among data points rather than isolated instances.

Option 2: clustering. Clustering groups similar data points into clusters based on their attributes, aiming to maximize similarity within a cluster and minimize similarity between clusters. It is about grouping, not explicitly linking occurrences to a single event, so it does not describe linking occurrences to a single event.

Option 3: sequencing. Sequencing involves analyzing the order of events over time, focusing on temporal patterns and the progression of activities. While it deals with events, its goal is understanding order and causality in sequences, not simply linking occurrences to one event.

Option 4: classification. Classification assigns data points to predefined categories or labels based on features. It creates mappings from input features to classes, not specifically linking occurrences to a single event, so it does not capture the idea of tying occurrences to one event.

In summary, option 1 best matches the concept of linking occurrences to a single event by highlighting relationships or associations between items or events, whereas the other options describe different data mining tasks (clustering, sequencing, classification) that do not fit this exact description.

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In data mining, linking occurrences to a single event is called:

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