Data Mining and Predictive Analytics for Business Decisions
Mercury Learning & Information (Verlag)
978-1-68392-675-7 (ISBN)
Features:
Covers basic descriptive statistics, such as summarization and tabulation, to more sophisticated predictive techniques, such as linear and logistic regression, clustering, classification, and text analytics
Uses R, Python, Jamovi and JASP interfaces, and the Orange3 data mining interface
Includes companion files with the case study files from the book, solution spreadsheets, data sets, etc.
Fortino Andres : Andres Fortino, PhD holds an appointment as a clinical associate professor of management and systems at the NYU School of Professional Studies, where he teaches courses in business analytics, data mining, and data visualization. He also leads his own consulting company, Fortino Global Education. Dr. Fortino has published ten books and over 40 academic papers, and has received IBM's First Invention Level Award for his work in semiconductor research. He holds three US patents and ten invention disclosures.
1: Data Mining and Business
2: The Data Mining Process
3: Framing Analytical Questions
4: Data Preparation
5: Descriptive Analysis
6: Modeling
7: Predictive Analytics with Regression Models
8: Classification
9: Clustering
10: Time Series Forecasting
11: Feature Selection
12: Anomaly Detection
13: Text Data Mining
14: Working with Large Data Sets
15: Visual Programming
Index
Erscheinungsdatum | 02.03.2023 |
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Sprache | englisch |
Gewicht | 631 g |
Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
Mathematik / Informatik ► Informatik ► Theorie / Studium | |
Wirtschaft ► Betriebswirtschaft / Management ► Allgemeines / Lexika | |
Wirtschaft ► Betriebswirtschaft / Management ► Unternehmensführung / Management | |
ISBN-10 | 1-68392-675-7 / 1683926757 |
ISBN-13 | 978-1-68392-675-7 / 9781683926757 |
Zustand | Neuware |
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