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Data Mining - Stanford University

Chapter 1 data MiningIn this intoductory chapter we begin with the essence of datamining and a dis-cussion of how data Mining is treated by the various disciplines that contributeto this field. We cover Bonferroni s Principle, which is really a warning aboutoverusing the ability to mine data . This chapter is also the place where wesummarize a few useful ideas that are not data Mining but are useful in un-derstanding some important data - Mining concepts. These include the of word importance, behavior of hash functions and indexes, and iden-tities involvinge, the base of natural logarithms. Finally, we give an outlineofthe topics covered in the balance of the What is data Mining ?The most commonly accepted definition of data Mining is thediscovery of models for data .

A common sort of data-mining problem involves discovering unusual events hidden within massive amounts of data. This section is a discussion of the ... sense that they have no cause other than that random data will always have some number of unusual features that look significant but aren’t. A theorem

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