TY -
GEN
AU - Fortino, Andres
TI -
Data mining and predictive analytics for business decisions
a case study approach
PB - Mercury Learning and Information
SN - 9781683926740
KW - Data mining
KW - Electronic data processing
KW - Decision making Statistical methods
KW - Business intelligence
KW - Management Statistical methods
KW - Machine learning
KW - COMPUTERS / Database Management / Data Mining
KW - JASP
KW - Jamovi
KW - Orange3
KW - Python
KW - business
KW - computer science
KW - data analysis
KW - data science
KW - machine learning
KW - Data Mining
KW - Entscheidungsfindung
KW - Unternehmen
KW - Entscheidung
PY - 2023
PY - , ©2023
N2 - Frontmatter
N2 - Contents
N2 - Preface
N2 - Acknowledgments
N2 - Chapter 1: Data Mining and Business
N2 - Chapter 2: The Data Mining Process
N2 - Chapter 3: Framing Analytical Questions
N2 - Chapter 4: Data Preparation
N2 - Chapter 5: Descriptive Analysis
N2 - Chapter 6: Modeling
N2 - Chapter 7: Predictive Analytics with Regression Models
N2 - Chapter 8: Classification
N2 - Chapter 9: Clustering
N2 - Chapter 10: Time Series Forecasting
N2 - Chapter 11: Feature Selection
N2 - Chapter 12: Anomaly Detection
N2 - Chapter 13: Text Data Mining
N2 - Chapter 14: Working with Large Data Sets
N2 - Chapter 15: Visual Programming
N2 - Index
CY - Dulles, VA
UR - http://slubdd.de/katalog?TN_libero_mab2
ER -