Metaheuristics For Enterprise Data Intelligence
Download Metaheuristics For Enterprise Data Intelligence full books in PDF, epub, and Kindle. Read online free Metaheuristics For Enterprise Data Intelligence ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Metaheuristics for Enterprise Data Intelligence
Author | : Kaustubh Vaman Sakhare,Vibha Vyas,Apoorva S Shastri |
Publsiher | : CRC Press |
Total Pages | : 159 |
Release | : 2024-08-07 |
Genre | : Computers |
ISBN | : 9781040096475 |
Download Metaheuristics for Enterprise Data Intelligence Book in PDF, Epub and Kindle
With the emergence of the data economy, information has become integral to business excellence. Every enterprise, irrespective of its domain of interest, carries and processes a lot of data in their day-to-day activities. Converting massive datasets into insightful information plays an important role in developing better business solutions. Data intelligence and its analysis pose several challenges in data representation, building knowledge systems, issue resolution and predictive systems for trend analysis and decisionmaking. The data available could be of any modality, especially when data is associated with healthcare, biomedical, finance, retail, cybersecurity, networking, supply chain management, manufacturing, etc. The optimization of such systems is therefore crucial to leveraging the best outcomes and conclusions. To this end, AI-based nature-inspired optimization methods or approximation-based optimization methods are becoming very powerful. Notable metaheuristics include genetic algorithms, differential evolution, ant colony optimization, particle swarm optimization, artificial bee colony, grey wolf optimizer, political optimizer, cohort intelligence and league championship algorithm. This book provides a systematic discussion of AI-based metaheuristics application in a wide range of areas, including big data intelligence and predictive analytics, enterprise analytics, graph optimization algorithms, machine learning and ensemble learning, computer vision enterprise practices and data benchmarking.
Cognitive Big Data Intelligence with a Metaheuristic Approach
Author | : Sushruta Mishra,Hrudaya Kumar Tripathy,Pradeep Kumar Mallick,Arun Kumar Sangaiah,Gyoo-Soo Chae |
Publsiher | : Academic Press |
Total Pages | : 374 |
Release | : 2021-11-09 |
Genre | : Computers |
ISBN | : 9780323851183 |
Download Cognitive Big Data Intelligence with a Metaheuristic Approach Book in PDF, Epub and Kindle
Cognitive Big Data Intelligence with a Metaheuristic Approach presents an exact and compact organization of content relating to the latest metaheuristics methodologies based on new challenging big data application domains and cognitive computing. The combined model of cognitive big data intelligence with metaheuristics methods can be used to analyze emerging patterns, spot business opportunities, and take care of critical process-centric issues in real-time. Various real-time case studies and implemented works are discussed in this book for better understanding and additional clarity. This book presents an essential platform for the use of cognitive technology in the field of Data Science. It covers metaheuristic methodologies that can be successful in a wide variety of problem settings in big data frameworks. Provides a unique opportunity to present the work on the state-of-the-art of metaheuristics approach in the area of big data processing developing automated and intelligent models Explains different, feasible applications and case studies where cognitive computing can be successfully implemented in big data analytics using metaheuristics algorithms Provides a snapshot of the latest advances in the contribution of metaheuristics frameworks in cognitive big data applications to solve optimization problems
Metaheuristics for Business Analytics
Author | : Abraham Duarte,Manuel Laguna,Rafael Marti |
Publsiher | : Springer |
Total Pages | : 136 |
Release | : 2017-11-24 |
Genre | : Business & Economics |
ISBN | : 9783319681191 |
Download Metaheuristics for Business Analytics Book in PDF, Epub and Kindle
This essential metaheuristics tutorial provides descriptions and practical applications in the area of business analytics. It addresses key problems in predictive and prescriptive analysis, while also illustrating how problems that arise in business analytics can be modelled and how metaheuristics can be used to find high-quality solutions. Readers will be introduced to decision-making problems for which metaheuristics offer the most effective solution technique. The book not only shows business problem modelling on a spreadsheet but also how to design and create a Visual Basic for Applications code. Extra Material can be downloaded at http://extras.springer.com/978-3-319-68117-7.
Meta Heuristic Techniques in Software Engineering and Its Applications
Author | : Mihir Narayan Mohanty,Swagatam Das,Mitrabinda Ray,Bichitrananda Patra |
Publsiher | : Springer Nature |
Total Pages | : 368 |
Release | : 2022-10-17 |
Genre | : Technology & Engineering |
ISBN | : 9783031117138 |
Download Meta Heuristic Techniques in Software Engineering and Its Applications Book in PDF, Epub and Kindle
This book discusses an integration of machine learning with metaheuristic techniques that provide more robust and efficient ways to address traditional optimization problems. Modern metaheuristic techniques, along with their main characteristics and recent applications in artificial intelligence, software engineering, data mining, planning and scheduling, logistics and supply chains, are discussed in this book and help global leaders in fast decision making by providing quality solutions to important problems in business, engineering, economics and science. Novel ways are also discovered to attack unsolved problems in software testing and machine learning. The discussion on foundations of optimization and algorithms leads beginners to apply current approaches to optimization problems. The discussed metaheuristic algorithms include genetic algorithms, simulated annealing, ant algorithms, bee algorithms and particle swarm optimization. New developments on metaheuristics attract researchers and practitioners to apply hybrid metaheuristics in real scenarios.
Modeling Analysis and Applications in Metaheuristic Computing Advancements and Trends
Author | : Yin, Peng-Yeng |
Publsiher | : IGI Global |
Total Pages | : 446 |
Release | : 2012-03-31 |
Genre | : Computers |
ISBN | : 9781466602717 |
Download Modeling Analysis and Applications in Metaheuristic Computing Advancements and Trends Book in PDF, Epub and Kindle
"This book is a collection of the latest developments, models, and applications within the transdisciplinary fields related to metaheuristic computing, providing readers with insight into a wide range of topics such as genetic algorithms, differential evolution, and ant colony optimization"--Provided by publisher.
Intelligent Techniques for Data Analysis in Diverse Settings
Author | : Celebi, Numan |
Publsiher | : IGI Global |
Total Pages | : 353 |
Release | : 2016-04-20 |
Genre | : Computers |
ISBN | : 9781522500766 |
Download Intelligent Techniques for Data Analysis in Diverse Settings Book in PDF, Epub and Kindle
Data analysis forms the basis of many forms of research ranging from the scientific to the governmental. With the advent of machine intelligence and neural networks, extracting, modeling, and approaching data has been unimpeachably altered. These changes, seemingly small, affect the way societies organize themselves, deliver services, or interact with each other. Intelligent Techniques for Data Analysis in Diverse Settings addresses the specialized requirements of data analysis in a comprehensive way. This title contains a comprehensive overview of the most innovative recent approaches borne from intelligent techniques such as neural networks, rough sets, fuzzy sets, and metaheuristics. Combining new data analysis technologies, applications, emerging trends, and case studies, this publication reviews the intelligent, technological, and organizational aspects of the field. This book is ideally designed for IT professionals and students, data analysis specialists, healthcare providers, and policy makers.
Computational Intelligence for Business Analytics
Author | : Witold Pedrycz,Luis Martínez,Rafael Alejandro Espin-Andrade,Gilberto Rivera,Jorge Marx Gómez |
Publsiher | : Springer Nature |
Total Pages | : 417 |
Release | : 2021-10-26 |
Genre | : Technology & Engineering |
ISBN | : 9783030738198 |
Download Computational Intelligence for Business Analytics Book in PDF, Epub and Kindle
Corporate success has been changed by the importance of new developments in Business Analytics (BA) and furthermore by the support of computational intelligence- based techniques. This book opens a new avenues in these subjects, identifies key developments and opportunities. The book will be of interest for students, researchers and professionals to identify innovative ways delivered by Business Analytics based on computational intelligence solutions. They help elicit information, handle knowledge and support decision-making for more informed and reliable decisions even under high uncertainty environments.Computational Intelligence for Business Analytics has collected the latest technological innovations in the field of BA to improve business models related to Group Decision-Making, Forecasting, Risk Management, Knowledge Discovery, Data Breach Detection, Social Well-Being, among other key topics related to this field.
Advanced Metaheuristic Methods in Big Data Retrieval and Analytics
Author | : Bouarara, Hadj Ahmed,Hamou, Reda Mohamed,Rahmani, Amine |
Publsiher | : IGI Global |
Total Pages | : 320 |
Release | : 2018-11-02 |
Genre | : Computers |
ISBN | : 9781522573395 |
Download Advanced Metaheuristic Methods in Big Data Retrieval and Analytics Book in PDF, Epub and Kindle
The amount of data shared and stored on the web and other document repositories is steadily on the rise. Unfortunately, this growth increases inefficiencies and difficulties when trying to find the most relevant and up-to-date information due to unstructured data. Advanced Metaheuristic Methods in Big Data Retrieval and Analytics examines metaheuristic techniques as an important alternative model for solving complex problems that are not treatable by deterministic methods. Recent studies suggest that IR and biomimicry can be used together for several application problems in big data and internet of things, especially when conventional methods would be too expensive or difficult to implement. Featuring coverage on a broad range of topics such as ontology, plagiarism detection, and machine learning, this book is ideally designed for engineers, graduate students, IT professionals, and academicians seeking an overview of new trends in information retrieval in big data.