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Computing Predictive Analytics, Business Intelligence, and Economics

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Admissible Heuristic
Boolean Functions
BPMN Model
Business Process
Business Process Modeling Languages
Cart Tree
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Category=UNF
Competence Ontology
competitive model analytics for startups
customer relationship management
Data Discovery
data visualization
E-business
economics modeling
Elementary Embedding
enterprise resource planning
Epistemic Accessibility
eq_bestseller
eq_business-finance-law
eq_computing
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eq_isMigrated=2
eq_nobargain
eq_non-fiction
ERP System
Feasible Production Schedules
Flexible Product Innovation
Game Trees
Gated Communities
Generic Diagram
heterogeneous computing
impact competitive models
LSA
management science
ontology-based systems
predictive analytics models
Proof Trees
Service Supply Chain
Skolem Functions
Supply Chain Parameters
Sustainable Supply Chain Management
Tactical Planning Model
TU Berlin
User Story

Product details

  • ISBN 9781771887298
  • Weight: 634g
  • Dimensions: 152 x 229mm
  • Publication Date: 19 Jun 2019
  • Publisher: Apple Academic Press Inc.
  • Publication City/Country: CA
  • Product Form: Hardback
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Description

This volume brings together research and system designs that address the scientific basis and the practical systems design issues that support areas ranging from intelligent business interfaces and predictive analytics to economics modeling.

Applications for management science and IT have been of interest areas for business schools and computing experts during recent years. Among the areas that are being treated are modern analytics, heterogeneous computing, business intelligence, ERP (enterprise resource planning), and decision science. Consumers have been pledging their love for data visualizations for a while now, and data is the area being explored, such as B2B and EC (E-commerce), E-business and the Intelligent Web, CRM (customer relationship management), infrastructures, and more. The digitization implications of these many new applications are described and explored in this informative volume.

One of BookAuthority’s Best New Analytics Books to Read in 2020!
About

Dr. Cyrus F. Nourani has a national and international reputation in computer science, artificial intelligence, mathematics, virtual haptic computation, enterprise modeling, decision theory, data sciences, predictive analytics economic games, information technology, and management science. In recent years he has been engaged as a Research Professor at Simon Frasier University in Burnaby, British Columbia, Canada, and at the Technical University of Berlin, Germany, and has been working on research projects in Germany, Sweden, and France.