Principles of Data Mining
The growing interest in data mining is motivated by a common problem across disciplines: how does one store, access, model, and ultimately describe and understand very large data sets? Historically, different aspects of data mining have been addressed independently by different disciplines. This is the first truly interdisciplinary text on data mining, blending the contributions of information science, computer science, and statistics.The book consists of three sections. The first,...
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The first truly interdisciplinary text on data mining, blending the contributions of information science, computer science, and statistics.
List of TablesList of FiguresSeries ForewordPreface1Introduction12Measurement and Data253Visualizing and Exploring Data534Data Analysis and Uncertainty935A Systematic Overview of Data Mining Algorithms1416Models and Patterns1657Score Functions for Data Mining Algorithms2118Search and Optimization Methods2359Descriptive Modeling27110Predictive Modeling for Classification32711Predictive Modeling for Regression36712Data Organization and Databases39913Finding Patterns and Rules42714Retrieval by Content449AppRandom Variables485References491Index525
