| Publisher | University of Massachusetts | ||
|---|---|---|---|
| Format | 534.2KB PDF | Date added | 09 Nov 2002 |
| Topics | Data Mining - Analysis | ||
| Downloads | 101 | ||
Recent research projects in two closely related areas of computer science - machine learning and data mining - have developed methods for constructing statistical models of network data. Examples of such data include social networks, networks of web pages, complex relational databases, and data on interrelated people, places, things, and events extracted from text documents. Such data sets are often called "Relational" because the relations among entities are central (e.g., acquaintanceship ties between people, links between web pages, or organizational affiliations between people and organizations). These algorithms differ from a substantially older and more established set of data mining algorithms developed to analyze propositional data.
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