Encyclopedia of Business Analytics and Optimization, 1st Edition

  • John Wang
  • Published By:
  • ISBN-10: 1466652039
  • ISBN-13: 9781466652033
  • DDC: 658.4
  • Grade Level Range: College Freshman - College Senior
  • 2754 Pages | eBook
  • Original Copyright 2014 | Published/Released February 2016
  • This publication's content originally published in print form: 2014

  • Price:  Sign in for price

About

Overview

As the age of Big Data emerges, it becomes necessary to take the five dimensions of Big Data- volume, variety, velocity, volatility, and veracity- and focus these dimensions towards one critical emphasis - value. The Encyclopedia of Business Analytics and Optimization confronts the challenges of information retrieval in the age of Big Data by exploring recent advances in the areas of knowledge management, data visualization, interdisciplinary communication, and others. Through its critical approach and practical application, this book will be a must-have reference for any professional, leader, analyst, or manager interested in making the most of the knowledge resources at their disposal.

Table of Contents

Front Cover.
Half Title Page.
Copyright Page.
Editorial Advisory Board.
List of Contributors.
Table of Contents by Volume.
Table of Contents by Category.
Preface.
Acknowledgment.
About the Editor.
Title Page.
1: 3-Step Analytics Success with Parsimonious Models.
2: A Mathematical Model to Plan the Adoption of EHR Systems.
3: A New Tree-Based Classifier for Satellite Images.
4: Academic Analytics.
5: Advance Information Sharing in Supply Chains.
6: Advanced Methodologies Descriptions and Applications.
7: Agent-Based Service Analytics.
8: An Overview of Cognition Roles in Decision-Making.
9: Analysis of Maintenance Operations: A Case Application.
10: Analysis of Non-Stationary Time-Series Business Data.
11: Analytic Rubrics for Decision Making.
12: Analytics for Nonprofits.
13: Anonymity and Pseudonymity in Data-Driven Science.
14: Ant Colony Algorithm for Single Stage Supply Chain.
15: Ant Colony Algorithm for Two Stage Supply Chain.
16: Applied Game Theory in Business Analytics.
17: Applying Process Mining to the Emergency Department.
18: Artificial Bee Colony Algorithm.
19: Artificial Neural Networks for Business Analytics.
20: Assessment of Disruption Risks in Supply Chains.
21: Bankruptcy Prediction Using Data Mining Tools.
22: Barriers to E-Application in Agrifood Supply Chain.
23: Bayesian Variable Selection.
24: Behavioral Performance Evaluation.
25: Behavioral Planning Theory.
26: Benchmarking of Indian Rail Freight by DEA.
27: Bender Decomposition.
28: Biased Randomization of Classical Heuristics.
29: Big Data Analytics: Trends and Case Studies.
30: Big Data Mining and Analytics.
31: Big Data Problem, Technologies and Solutions.
32: Big Data Techniques and Applications.
33: Bio-Inspired Modelling to Generate Alternatives.
34: Business Case Analytics.
35: Business Intelligence through Analytics and Foresight.
36: Business Model Innovation and the Balanced Scorecard.
37: Business Processes, Dynamic Contexts, Learning.
38: Business Successes of Malaysian Housing Developers.
39: Centralize vs. Decentralize Supply Chain Analysis.
40: Chaos in Economics.
41: Class-Based Weighted NB for Text Categorization.
42: Class-Dependent Principal Component Analysis.
43: Composite Classifiers for Bankruptcy Prediction.
44: Computational Intelligence in Survival Analysis.
45: Concept-Oriented Model.
46: Concept-Oriented Query Language.
47: Constrained Nonlinear Optimization in Business.
48: Copula-Based Multivariate Time Series Models.
49: Credit Scoring in the Age of Big Data.
50: Cuckoo Search Algorithm.