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Extra resources for Data Mining: Concepts and Techniques, Second Edition (The Morgan Kaufmann Series in Data Management Systems)

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Outlier analysis may uncover fraudulent usage of credit cards by detecting purchases of extremely large amounts for a given account number in comparison to regular charges incurred by the same account. Outlier values may also be detected with respect to the location and type of purchase, or the purchase frequency. Outlier analysis is also discussed in Chapter 7. 6 Evolution Analysis Data evolution analysis describes and models regularities or trends for objects whose behavior changes over time.

Heterogeneous Databases and Legacy Databases A heterogeneous database consists of a set of interconnected, autonomous component databases. The components communicate in order to exchange information and answer queries. Objects in one component database may differ greatly from objects in other component databases, making it difficult to assimilate their semantics into the overall heterogeneous database. Many enterprises acquire legacy databases as a result of the long history of information technology development (including the application of different hardware and operating systems).

Data cleaning and data integration techniques may be performed on the data. Database or data warehouse server: The database or data warehouse server is responsible for fetching the relevant data, based on the user’s data mining request. 1 A popular trend in the information industry is to perform data cleaning and data integration as a preprocessing step, where the resulting data are stored in a data warehouse. 2 Sometimes data transformation and consolidation are performed before the data selection process, particularly in the case of data warehousing.

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