By Luis Torgo
The flexible services and massive set of add-on programs make R an exceptional replacement to many current and infrequently pricey information mining instruments. Exploring this zone from the viewpoint of a practitioner, Data Mining with R: studying with Case Studies makes use of useful examples to demonstrate the facility of R and information mining.
Assuming no previous wisdom of R or information mining/statistical innovations, the ebook covers a various set of difficulties that pose assorted demanding situations by way of measurement, form of facts, pursuits of research, and analytical instruments. to give the most facts mining strategies and strategies, the writer takes a hands-on process that makes use of a chain of special, real-world case studies:
- Predicting algae blooms
- Predicting inventory industry returns
- Detecting fraudulent transactions
- Classifying microarray samples
With those case experiences, the writer provides all useful steps, code, and data.
A aiding web site mirrors the do-it-yourself technique of the textual content. It bargains a suite of freely on hand R resource records that surround all of the code utilized in the case experiences. the positioning additionally presents the information units from the case reviews in addition to an R package deal of numerous functions.
Read or Download Data Mining with R: Learning with Case Studies (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) PDF
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