Explain On-Line Analytical Mining (OLAM) wit its figure.

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 On-Line Analytical Mining (OLAM)

• On-line analytical mining (OLAM) (also called OLAP mining) integrates online analytical processing (OLAP) with data mining and mining knowledge in multidimensional databases.

• OLAM is particularly important for the following reasons:

- High quality of data in data warehouses

- Available information processing infrastructure surrounding data warehouses

- OLAP-based exploratory data analysis

- On-line selection of data mining functions



• An OLAM server performs analytical mining in data cubes in a similar manner as an OLAP server performs online analytical processing.

• An integrated OLAM and OLAP architecture is shown in the figure above, where the OLAM and OLAP servers both accept user on-line queries (or commands) via a graphical user interface API and work with the data cube in the data analysis via a cube API.

• A metadata directory is used to guide the access of the data cube.

• The data cube can be constructed by accessing and/or integrating multiple databases via an MDDB API and/or by filtering a data warehouse via a database API that may support OLE DB or ODBC connections.

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