By Luis Torgo

The flexible services and massive set of add-on applications make R a good substitute to many present and infrequently pricey information mining instruments. Exploring this zone from the point of view of a practitioner, Data Mining with R: studying with Case Studies makes use of sensible examples to demonstrate the facility of R and information mining.



Assuming no past wisdom of R or information mining/statistical suggestions, the booklet covers a various set of difficulties that pose diverse demanding situations by way of dimension, kind of facts, ambitions of study, and analytical instruments. to give the most info mining techniques and strategies, the writer takes a hands-on procedure that makes use of a sequence of particular, real-world case studies:




  1. Predicting algae blooms

  2. Predicting inventory industry returns

  3. Detecting fraudulent transactions

  4. Classifying microarray samples

With those case experiences, the writer offers all precious steps, code, and data.


Web Resource
A helping web site mirrors the do-it-yourself technique of the textual content. It bargains a suite of freely on hand R resource documents that surround the entire code utilized in the case reviews. the location additionally offers the knowledge units from the case reviews in addition to an R package deal of numerous functions.

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