TY  - GEN
AB  - The new edition of this textbook presents a practical, updated approach to predictive analytics for classroom learning. The authors focus on using analytics to solve business problems and compares several different modeling techniques, all explained from examples using the SAS Enterprise Miner software. The authors demystify complex algorithms to show how they can be utilized and explained within the context of enhancing business opportunities. Each chapter includes an opening vignette that provides real-life examples of how business analytics have been used in various aspects of organizations to solve issues or improve their results. A running case provides an example of a how to build and analyze a complex analytics model and utilize it to predict future outcomes. The new edition includes chapters on clusters and associations and text mining to support predictive models. An additional case is also included that can be used with each chapter or as a semester project.
AU  - McCarthy, Richard V.
AU  - McCarthy, Mary M.
AU  - Ceccucci, Wendy.
CN  - QA76.9.D343
CY  - Cham :
DA  - 2021.
DO  - 10.1007/978-3-030-83070-0
DO  - doi
ET  - 2nd ed.
ID  - 1443591
KW  - Data mining.
KW  - SAS (Computer program language)
KW  - Exploration de données (Informatique)
KW  - SAS (Langage de programmation)
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-83070-0
N2  - The new edition of this textbook presents a practical, updated approach to predictive analytics for classroom learning. The authors focus on using analytics to solve business problems and compares several different modeling techniques, all explained from examples using the SAS Enterprise Miner software. The authors demystify complex algorithms to show how they can be utilized and explained within the context of enhancing business opportunities. Each chapter includes an opening vignette that provides real-life examples of how business analytics have been used in various aspects of organizations to solve issues or improve their results. A running case provides an example of a how to build and analyze a complex analytics model and utilize it to predict future outcomes. The new edition includes chapters on clusters and associations and text mining to support predictive models. An additional case is also included that can be used with each chapter or as a semester project.
PB  - Springer,
PP  - Cham :
PY  - 2021.
SN  - 9783030830700
SN  - 3030830705
T1  - Applying predictive analytics :finding value in data /
TI  - Applying predictive analytics :finding value in data /
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-83070-0
ER  -