Description
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.
Reviews and Testimonials
I strongly recommend The Encyclopedia of Business Analytics and Optimization as a useful source of information about the new challenges that Business Analytics will have to deal during the next years. It provides the reader with deep knowledge about recent works in business analytics, and many ideas for solving problems in optimization and business analytics using powerful methodologies such as machine learning and data mining techniques.
– Dr. Albert Bifet, University of Waikato, Machine Learning Research Group
Successful enterprises recognize that analytics based on ever-increasing and vast amounts of data, coupled with optimized decision processes, signal tremendous opportunities for new business advantage. If you are looking for new knowledge in this area, go no further – filled with a diverse set of topics, this five-volume book is a valuable resource of Business Analytics for the academic and the practitioner alike.
– Dr. Chanaka Edirisinghe, The University of Tennessee, USA
The content of the encyclopedia is vast and diverse, which from my point of view is a very strong asset. I believe the target audience will be primarily from the fields of Operations Research and from Business/Economics, but researchers from other fields like Computer Engineering would be highly interested since many chapters are based on concepts from this field of research as well. Highly recommended.
– Skordilis Erotokritos, PhD Candidate, Dept. of Mechanical Engineering, University of Thessaly
Contains over 250 essays in five volumes and is also available online. Topical categories range from "Algorithms and Programming" to "Fuzzy Methods" and "Game Theory and Gaming." Some 370 contributors and their affiliations are included. [...] The preface summarizes the articles, and each article features an introduction, background, and conclusion, as well as references, key terms, and definitions. Recommended for graduate students and above.
– S.G. Marvin, CHOICE Magazine, Vol. 52, 2
Author's/Editor's Biography
John Wang (Ed.)
John Wang is a professor in the Department of Information Management and Business Analytics at Montclair State University, USA. Having received a scholarship award, he came to the USA and completed his PhD in operations research from Temple University. Due to his extraordinary contributions beyond a tenured full professor, Dr. Wang has been honored with two special range adjustments in 2006 and 2009, respectively. He has published over 100 refereed papers and seventeen books. He has also developed several computer software programs based on his research findings. He serves as Editor-in-Chief for ten Scopus-indexed journals, such as Int. J. of Business Analytics, Int. J. of Information Systems and Supply Chain Management, Int. J. of Information Systems in the Service Sector, Int. J. of Applied Management, Int. J. of Information and Decision Sciences, Int. J. of Data Mining, Modelling and Management, etc. He is the Editor of Encyclopedia of Business Analytics and Optimization (five-volume), Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications (six-volume) and the Editor of the Encyclopedia of Data Warehousing and Mining, 1st (two-volume) and 2nd (four-volume). His long-term research goal is on the synergy of operations research, data mining and cybernetics.