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# Information integration and String metric

## Difference between Information integration and String metric

### Information integration vs. String metric

Information integration (II) is the merging of information from heterogeneous sources with differing conceptual, contextual and typographical representations. In mathematics and computer science, a string metric (also known as a string similarity metric or string distance function) is a metric that measures distance ("inverse similarity") between two text strings for approximate string matching or comparison and in fuzzy string searching.

## Similarities between Information integration and String metric

Information integration and String metric have 4 things in common (in Unionpedia): Approximate string matching, Data deduplication, Data integration, Data mining.

### Approximate string matching

In computer science, approximate string matching (often colloquially referred to as fuzzy string searching) is the technique of finding strings that match a pattern approximately (rather than exactly).

### Data deduplication

In computing, data deduplication is a specialized data compression technique for eliminating duplicate copies of repeating data.

### Data integration

Data integration involves combining data residing in different sources and providing users with a unified view of them.

### Data mining

Data mining is the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems.

### The list above answers the following questions

• What Information integration and String metric have in common
• What are the similarities between Information integration and String metric

## Information integration and String metric Comparison

Information integration has 10 relations, while String metric has 42. As they have in common 4, the Jaccard index is 7.69% = 4 / (10 + 42).

## References

This article shows the relationship between Information integration and String metric. To access each article from which the information was extracted, please visit:

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