By Luis Torgo

The flexible functions and big set of add-on programs make R a superb replacement to many current and infrequently pricey facts mining instruments. Exploring this zone from the point of view of a practitioner, Data Mining with R: studying with Case Studies makes use of functional examples to demonstrate the facility of R and information mining.

Assuming no previous wisdom of R or info mining/statistical concepts, the e-book covers a various set of difficulties that pose diversified demanding situations when it comes to dimension, form of facts, pursuits of study, and analytical instruments. to give the most information mining approaches and strategies, the writer takes a hands-on strategy that makes use of a sequence of targeted, real-world case studies:

  1. Predicting algae blooms

  2. Predicting inventory marketplace returns

  3. Detecting fraudulent transactions

  4. Classifying microarray samples

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

Web Resource
A aiding web site mirrors the do-it-yourself method of the textual content. It deals a suite of freely to be had R resource documents that surround the entire code utilized in the case experiences. the location additionally presents the information units from the case reviews in addition to an R package deal of a number of functions.

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