Data Science and Digital Business

Data Science and Digital Business
  • eBook:
    Data Science and Digital Business
  • Author:
    Fausto Pedro García Márquez, Benjamin Lev
  • Edition:
    1st ed. 2019 edition
  • Categories:
  • Data:
    January 5, 2019
  • ISBN:
  • ISBN-13:
  • Language:
  • Pages:
    316 pages
  • Format:

Book Description
This book combines the analytic principles of digital business and data science with business practice and big data. The interdisciplinary, contributed volume provides an interface between the main disciplines of engineering and technology and business administration. Written for managers, engineers and researchers who want to understand big data and develop new skills that are necessary in the digital business, it not only discusses the latest research, but also presents case studies demonstrating the successful application of data in the digital business.


Introduction to Data Science and Digital Business
Data Management and Visualization Using Big Data Analytics
Data Science and Digital Business
Data Science and Conversational Interfaces: A New Revolution in Digital Business
After 2017: Managers Exit and Banks Arise
Synergies Between Association Rules and Collaborative Filtering in Recommender System: An Application to Auto Industry
Information Security Research Challenges in the Process of Digitizing Business: A Review Based on the Information Security Model of IBM
Deploying a Scalable Data Science Environment Using Docker
Clean up CHAOS and Use E-CRM (A Digital Concept) to Expand the Business: A Case of Pakistan
Furthering Big Data Utilization in Tourism
C-LASSO Estimator for Generalized Additive Logistic Regression Based on B-Spline
An Efficient Bundle-Like Algorithm for Data-Driven Multi-objective Bi-level Signal Design for Traffic Networks with Hazardous Material Transportation
Advanced Regression Models: Least Squares, Nonlinear, Poisson and Binary Logistics Regression Using R
Student Desertion: What Is and How Can It Be Detected on Time?
Bioelectric Potential Plant
False Alarms Management by Data Science

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