Web Mining is not used in which of the following areas ?

Web mining is the application of data-mining techniques to data produced by the World Wide Web, and it has three standard branches: web content mining (patterns in the text, images and documents of pages), web structure mining (patterns in the hyperlink graph that connects pages), and web usage mining (patterns in server logs, sessions and navigation trails). Every branch is analytical and knowledge-discovery oriented — it reads large volumes of accumulated historical web data to uncover previously unknown patterns, rather than recording individual business events as they occur.

Testing each listed area against that definition:

• Information filtering — a profile is built from page content and a user’s past browsing behaviour, and incoming pages, news items and messages are scored against it. This combines web content mining with web usage mining.

• Crime fighting on the internet — page text, the hyperlink structure joining suspicious sites, and web access logs are mined to surface fraudulent listings, illicit marketplaces and coordinated accounts. This is a documented web mining application.

• Click stream analysis — the ordered sequence of page requests recorded in web-server logs is reconstructed into navigation paths and sessions. This is the textbook example of web usage mining.

• Online transaction processing (OLTP) — short, ACID, read-write transactions such as placing an order, booking a seat or transferring funds are executed against a current-state operational database. The goal is to record each business event correctly and quickly, not to discover patterns, so no mining takes place.

Cross-check by contrasting the two kinds of system directly:

OLTP is the operational system that generates data for later analysis; it sits opposite OLAP and mining in the standard classification. Hence web mining is not used in online transaction processing.