Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples. The text requires only a modest background in mathematics.
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Introduction to Data Mining() Michigan State University PangNing TanUniversity of MinnesotaMichael Steinbach,:、、。
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MultiDimensional View of Data Mining •Data to be mined •Database data (extendedrelational, objectoriented, heterogeneous, legacy), data warehouse, transactional data, stream, spatiotemporal, timeseries, sequence, text and web, multimedia, graphs social and information networks •Knowledge to be mined (or: Data mining functions)
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What is data mining? What is KD? z"Data mining is the process of extracting previously unknown comprehensible and actionable information from large databases and using it to make crucial business decision". (Zekulin) z"Knowledge discoveryis the nontrivial extraction of implicit, unknown, and potentially useful information from data". Fayyad
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Introduction to Data Mining is a complete introduction to data mining for students, researchers, and professionals. It provides a sound understanding of the foundations of data mining, in addition to covering many important advanced topics.
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— Lots of hype misinformation about data mining out there — Data mining is part of a much larger process — 10% of 10% of 10% of 10% — Accuracy not always the most important measure of data mining — The data itself is critical — Algorithms aren''t as important as some people think
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Outlier is defined by its distance from the central object data set in comparison to other objects in the data set. Depending on the precision of the data set and outlier can be at future distance from the central of the data set greater than a defined radial distance.
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Introduction to Data Mining — PangNing Tan, Michael Steinbach, Vipin Kumar Distances, such as the Euclidean distance, have some wellknown properties. If d(x, y) is the distance between two points, x and y, then the following properties hold.
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