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Full Description
The versatile capabilities and large set of add-on packages make R an excellent alternative to many existing and often expensive data mining tools. Exploring this area from the perspective of a practitioner, Data Mining with R: Learning with Case Studies uses practical examples to illustrate the power of R and data mining.Assuming no prior knowledge of R or data mining/statistical techniques, the book covers a diverse set of problems that pose different challenges in terms of size, type of data, goals of analysis, and analytical tools. To present the main data mining processes and techniques, the author takes a hands-on approach that utilizes a series of detailed, real-world case studies:Predicting algae bloomsPredicting stock market returns Detecting fraudulent transactions Classifying microarray samplesWith these case studies, the author supplies all necessary steps, code, and data.Web ResourceA supporting website mirrors the do-it-yourself approach of the text. It offers a collection of freely available R source files that encompass all the code used in the case studies. The site also provides the data sets from the case studies as well as an R package of several functions.
Contents
Introduction How to Read This BookA Short Introduction to RA Short Introduction to MySQLPredicting Algae BloomsProblem Description and Objectives Data Description Loading the Data into R Data Visualization and Summarization Unknown ValuesObtaining Prediction ModelsModel Evaluation and Selection Predictions for the 7 AlgaePredicting Stock Market ReturnsProblem Description and Objectives The Available DataDefining the Prediction TasksThe Prediction ModelsFrom Predictions into Actions Model Evaluation and Selection The Trading SystemDetecting Fraudulent Transactions Problem Description and Objectives The Available DataDefining the Data Mining TasksObtaining Outlier RankingsClassifying Microarray SamplesProblem Description and ObjectivesThe Available DataGene (Feature) SelectionPredicting Cytogenetic AbnormalitiesBibliographyIndex Index of Data Mining TopicsIndex of R Functions
