000 03006nam a22004335i 4500
001 978-1-4419-9890-3
003 DE-He213
005 20140220083731.0
007 cr nn 008mamaa
008 110801s2011 xxu| s |||| 0|eng d
020 _a9781441998903
_9978-1-4419-9890-3
024 7 _a10.1007/978-1-4419-9890-3
_2doi
050 4 _aQA276-280
072 7 _aPBT
_2bicssc
072 7 _aPD
_2bicssc
072 7 _aMAT029000
_2bisacsh
082 0 4 _a519.5
_223
100 1 _aWilliams, Graham.
_eauthor.
245 1 0 _aData Mining with Rattle and R
_h[electronic resource] :
_bThe Art of Excavating Data for Knowledge Discovery /
_cby Graham Williams.
264 1 _aNew York, NY :
_bSpringer New York,
_c2011.
300 _aXX, 374p. 95 illus., 80 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aUse R
505 0 _aIntroduction -- Getting Started -- Working with Data -- Loading Data -- Exploring Data -- Interactive Graphics -- Transforming Data -- Descriptive and Predictive Analytics -- Cluster Analysis -- Association Analysis -- Decision Trees -- Random Forests -- Boosting -- Support Vector Machines -- Model Performance Evaluation -- Deployment.
520 _aData mining is the art and science of intelligent data analysis. By building knowledge from information, data mining adds considerable value to the ever increasing stores of electronic data that abound today. In performing data mining many decisions need to be made regarding the choice of methodology, the choice of data, the choice of tools, and the choice of algorithms. Throughout this book the reader is introduced to the basic concepts and some of the more popular algorithms of data mining. With a focus on the hands-on end-to-end process for data mining, Williams guides the reader through various capabilities of the easy to use, free, and open source Rattle Data Mining Software built on the sophisticated R Statistical Software. The focus on doing data mining rather than just reading about data mining is refreshing. The book covers data understanding, data preparation, data refinement, model building, model evaluation,  and practical deployment. The reader will learn to rapidly deliver a data mining project using software easily installed for free from the Internet. Coupling Rattle with R delivers a very sophisticated data mining environment with all the power, and more, of the many commercial offerings.
650 0 _aStatistics.
650 1 4 _aStatistics.
650 2 4 _aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781441998897
830 0 _aUse R
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4419-9890-3
912 _aZDB-2-SMA
999 _c106148
_d106148