Abstract
Knowledge discovery in databases remains an active area of research since its inception in the late 1980s. Numerous applications of knowledge discovery in databases are reported in various domains. One of the popular domains is market basket data and the early research results are based on it. On the other hand, the time-stamped data are being generated continuously as time component is related to virtually all data. As a result, it remains an active area of research over time. But, research reports on mining multiple related databases started coming in early 2000s. The domain of multiple related databases is expanding since many applications generate multiple databases. This book presents some advances in the above three areas. This chapter ends with a note of future trends of data mining.
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Adhikari, A., Adhikari, J. (2015). Introduction. In: Advances in Knowledge Discovery in Databases. Intelligent Systems Reference Library, vol 79. Springer, Cham. https://doi.org/10.1007/978-3-319-13212-9_1
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