Descriptive Data Mining

Häftad, Engelska, 2018

AvDavid L. Olson,David L Olson

1 559 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

Finns i fler format (1)

Inbunden

1 949 kr

Skickas inom 10-15 vardagar

Chapter 2 covers data visualization, including directions for accessing R open source software (described through Rattle). Chapter 7 goes on to describe link analysis, social network metrics, and open source NodeXL software, and demonstrates link analysis application using PolyAnalyst output.

Produktinformation

Utgivningsdatum2018-07-05
Mått155 x 235 x 7 mm
Vikt191 g
FormatHäftad
SpråkEngelska
SerieComputational Risk Management
Antal sidor116
FörlagSpringer Verlag, Singapore
ISBN9789811098475

Tillhör följande kategorier

Systemvetenskap och AI inom Data och it
Ledarskapsböcker inom Ekonomi och ledarskap
Referensverk och tvärvetenskap inom Samhalle och politik
Databaser inom Data och it

David L. Olson is the James & H.K. Stuart Professor in MIS and Chancellor’s Professor at the University of Nebraska. He has published over 200 articles in refereed journals, primarily on the topic of multiple objective decision-making and information technology. He has authored over 20 books, is co-editor-in-chief of the International Journal of Services Sciences and associate editor of a number of journals. He has given over 150 presentations at international and national conferences. He is a member of the Decision Sciences Institute, the Institute for Operations Research and Management Sciences, and the Multiple Criteria Decision Making Society. He was a Lowry Mays endowed Professor at Texas A&M University from 1999 to 2001, was named the Raymond E. Miles Distinguished Scholar in 2002, and was James C. and Rhonda Seacrest Fellow from 2005 to 2006. He was named Best Enterprise Information Systems Educator by IFIP in 2006. He is a Fellow of the Decision Sciences Institute.