Data Mining with R: Learning with Case Studies, Second by Luis Torgo

By Luis Torgo

Data Mining with R: studying with Case reviews, moment Edition makes use of functional examples to demonstrate the facility of R and information mining. delivering an intensive replace to the best-selling first variation, this re-creation is split into elements. the 1st half will function introductory fabric, together with a brand new bankruptcy that gives an creation to facts mining, to counterpoint the already present advent to R. the second one half contains case experiences, and the recent version strongly revises the R code of the case stories making it extra updated with fresh programs that experience emerged in R.

The booklet doesn't imagine any previous wisdom approximately R. Readers who're new to R and knowledge mining may be in a position to keep on with the case reviews, and they're designed to be self-contained so the reader can begin anyplace within the rfile.

The booklet is observed by means of a suite of freely on hand R resource records that may be acquired on the book’s website. those records comprise all of the code utilized in the case experiences, they usually facilitate the "do-it-yourself" procedure within the book.

Designed for clients of knowledge research instruments, in addition to researchers and builders, the e-book might be priceless for somebody drawn to getting into the "world" of R and information mining.

About the Author

Luís Torgo is an affiliate professor within the division of laptop technology on the collage of Porto in Portugal. He teaches Data Mining in R in the NYU Stern college of industrial’ MS in enterprise Analytics application. An lively researcher in desktop studying and knowledge mining for greater than two decades, Dr. Torgo can also be a researcher within the Laboratory of synthetic Intelligence and knowledge research (LIAAD) of INESC Porto LA.

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Additional info for Data Mining with R: Learning with Case Studies, Second Edition

Example text

In effect, when we ask R the content of a matrix, R will show it with a specific format on the screen. This happens because there is a specific print method associated with all objects of the class matrix. In summary, the class of an object determines (1) the methods that are used by some general functions when applied to these objects, and also (2) the representation of the objects of that class. This representation consists of the information that is stored by the objects of this class. R has many predefined classes of objects, together with associated methods.

This allows for easy interactive exploration of ideas that may solve your data analysis problems. Frequently, after this exploration phase one tends to dump the sequence of R commands that lead to the solution we have found into an R script file. These script files can then be reused, for instance by asking R to execute all commands contained in the script file in sequence. The interaction with the R console consists of typing some instruction followed by the Enter key, and receiving back the result of this command.

As we will see, this recycling rule is also applied with other objects, such as arrays and matrices. 7 Factors Factors provide an easy and compact form of handling categorical (nominal) data. Factors have levels that are the possible values they can take. Factors are particularly useful in datasets where you have nominal variables with a fixed number of possible values. Several graphical and summarization functions that we will explore in the following chapters take advantage of this type of information.

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