Cargando…

Visual data mining : the VisMiner approach /

A visual approach to data mining. Data mining has been defined as the search for useful and previously unknown patterns in large datasets, yet when faced with the task of mining a large dataset, it is not always obvious where to start and how to proceed. This book introduces a visual methodology for...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Anderson, Russell K.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Chichester, West Sussex, U.K. ; Hoboken, N.J. : Wiley, 2012.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

LEADER 00000cam a2200000 a 4500
001 OR_ocn793340277
003 OCoLC
005 20231017213018.0
006 m o d
007 cr un|---uuuuu
008 120507s2012 enk ob 001 0 eng
010 |a  2012018905 
040 |a DLC  |b eng  |e pn  |c DLC  |d YDX  |d N$T  |d EBLCP  |d UIU  |d YDXCP  |d E7B  |d DG1  |d UMI  |d B24X7  |d COO  |d UBY  |d COD  |d DEBSZ  |d DKDLA  |d LLB  |d S4S  |d OCLCF  |d REB  |d OCL  |d DEBBG  |d OCLCQ  |d CNNOR  |d DG1  |d MOR  |d LIP  |d PIFAG  |d ZCU  |d MERUC  |d OCLCQ  |d OCLCO  |d U3W  |d OCLCQ  |d OCLCO  |d UUM  |d STF  |d WRM  |d NRAMU  |d ICG  |d INT  |d VT2  |d OCLCQ  |d OCLCO  |d WYU  |d G3B  |d TKN  |d OCLCQ  |d OCLCO  |d OCLCQ  |d DKC  |d OCLCQ  |d OCLCO  |d CNCEN  |d OTZ  |d ERF  |d UKBTH  |d UHL  |d OCLCQ  |d OCLCO  |d OCLCQ 
019 |a 841331959  |a 841480703  |a 852506107  |a 992864303  |a 1105791910  |a 1107424706  |a 1112603773  |a 1113182721  |a 1113510116 
020 |a 9781118439234  |q (Adobe PDF) 
020 |a 1118439236  |q (Adobe PDF) 
020 |a 9781118439258  |q (ePub) 
020 |a 1118439252  |q (ePub) 
020 |a 9781118439142  |q (MobiPocket) 
020 |a 1118439147  |q (MobiPocket) 
020 |a 9781118444818 
020 |a 1118444817 
020 |a 9781119967545 
020 |a 1119967546 
020 |z 9781118111253  |q (cloth) 
024 8 |a 9781118439258 
029 1 |a AU@  |b 000049125504 
029 1 |a AU@  |b 000051433034 
029 1 |a AU@  |b 000057247426 
029 1 |a AU@  |b 000058372782 
029 1 |a AU@  |b 000065314846 
029 1 |a CHBIS  |b 010900678 
029 1 |a CHNEW  |b 000608181 
029 1 |a CHNEW  |b 000939833 
029 1 |a CHVBK  |b 480201250 
029 1 |a DEBBG  |b BV041121691 
029 1 |a DEBBG  |b BV043394535 
029 1 |a DEBBG  |b BV044168736 
029 1 |a DEBSZ  |b 383100224 
029 1 |a DEBSZ  |b 396766137 
029 1 |a DEBSZ  |b 39739330X 
029 1 |a DEBSZ  |b 485019965 
029 1 |a GWDNB  |b 1060102277 
029 1 |a GWDNB  |b 1060102323 
029 1 |a NZ1  |b 14765475 
029 1 |a NZ1  |b 15341063 
035 |a (OCoLC)793340277  |z (OCoLC)841331959  |z (OCoLC)841480703  |z (OCoLC)852506107  |z (OCoLC)992864303  |z (OCoLC)1105791910  |z (OCoLC)1107424706  |z (OCoLC)1112603773  |z (OCoLC)1113182721  |z (OCoLC)1113510116 
037 |a CL0500000213  |b Safari Books Online 
042 |a pcc 
050 0 0 |a QA76.9.D343 
072 7 |a COM  |x 021030  |2 bisacsh 
082 0 0 |a 006.3/12  |2 23 
049 |a UAMI 
100 1 |a Anderson, Russell K. 
245 1 0 |a Visual data mining :  |b the VisMiner approach /  |c Russell K. Anderson. 
260 |a Chichester, West Sussex, U.K. ;  |a Hoboken, N.J. :  |b Wiley,  |c 2012. 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file 
500 |a Includes index. 
505 0 |a Initial data exploration and dataset preparation using VisMiner -- Advanced topics in initial exploration and dataset preparation using VisMiner -- Prediction algorithms for data mining -- Classification models in VisMiner -- Regression analysis -- Cluster analysis. 
588 0 |a Print version record and CIP data provided by publisher. 
504 |a Includes bibliographical references and index. 
520 |a A visual approach to data mining. Data mining has been defined as the search for useful and previously unknown patterns in large datasets, yet when faced with the task of mining a large dataset, it is not always obvious where to start and how to proceed. This book introduces a visual methodology for data mining demonstrating the application of methodology along with a sequence of exercises using VisMiner. VisMiner has been developed by the author and provides a powerful visual data mining tool enabling the reader to see the data that they are working on and to visually evaluate the models created from the data. Key features: Presents visual support for all phases of data mining including dataset preparation. Provides a comprehensive set of non-trivial datasets and problems with accompanying software. Features 3-D visualizations of multi-dimensional datasets. Gives support for spatial data analysis with GIS like features. Describes data mining algorithms with guidance on when and how to use. Accompanied by VisMiner, a visual software tool for data mining, developed specifically to bridge the gap between theory and practice. Visual Data Mining: The VisMiner Approach is designed as a hands-on work book to introduce the methodologies to students in data mining, advanced statistics, and business intelligence courses. This book provides a set of tutorials, exercises, and case studies that support students in learning data mining processes. In praise of the VisMiner approach: "What we discovered among students was that the visualization concepts and tools brought the analysis alive in a way that was broadly understood and could be used to make sound decisions with greater certainty about the outcomes"--Dr. James V. Hansen, J. Owen Cherrington Professor, Marriott School, Brigham Young University, USA "Students learn best when they are able to visualize 
520 8 |a Relationships between data and results during the data mining process. VisMiner is easy to learn and yet offers great visualization capabilities throughout the data mining process. My students liked it very much and so did I."--Dr. Douglas Dean, Assoc. Professor of Information Systems, Marriott School, Brigham Young University, USA 
542 |f Copyright © John Wiley & Sons  |g 2013 
590 |a O'Reilly  |b O'Reilly Online Learning: Academic/Public Library Edition 
630 0 0 |a VisMiner (Electronic resource) 
630 0 7 |a VisMiner (Electronic resource)  |2 blmlsh 
630 0 7 |a VisMiner (Electronic resource)  |x VisMiner (Electronic resource)  |2 blmlsh 
630 0 7 |a VisMiner (Electronic resource)  |2 fast  |0 (OCoLC)fst01938229 
650 0 |a Data mining. 
650 0 |a Information visualization. 
650 2 |a Data Mining 
650 6 |a Exploration de données (Informatique) 
650 6 |a Visualisation de l'information. 
650 7 |a COMPUTERS  |x Database Management  |x Data Mining.  |2 bisacsh 
650 7 |a Data mining.  |2 fast  |0 (OCoLC)fst00887946 
650 7 |a Information visualization.  |2 fast  |0 (OCoLC)fst00973185 
776 0 8 |i Print version:  |a Anderson, Russell K.  |t Visual data mining.  |d Chichester, West Sussex, U.K. ; Hoboken, N.J. : Wiley, 2012  |z 9781118111253  |w (DLC) 2012018033 
856 4 0 |u https://learning.oreilly.com/library/view/~/9781118439258/?ar  |z Texto completo (Requiere registro previo con correo institucional) 
938 |a Books 24x7  |b B247  |n bks00051289 
938 |a ProQuest Ebook Central  |b EBLB  |n EBL4035396 
938 |a ProQuest Ebook Central  |b EBLB  |n EBL1037159 
938 |a ebrary  |b EBRY  |n ebr10608644 
938 |a EBSCOhost  |b EBSC  |n 490429 
938 |a YBP Library Services  |b YANK  |n 9785543 
938 |a YBP Library Services  |b YANK  |n 12675965 
938 |a YBP Library Services  |b YANK  |n 9922297 
994 |a 92  |b IZTAP