Metaheuristics for Big Data

✍ Clarisse Dhaenens, Laetitia Jourdan 📂 Library 📅 2016 🏛 Wiley-ISTE 🌐 English

Big Data is a new field, with many technological challenges to be understood in order to use it to its full potential. These challenges arise at all stages of working with Big Data, beginning with data generation and acquisition. The storage and management phase presents two critical challenges: in

Metaheuristics for Enterprise Data Intel

📁 Metaheuristics for Enterprise Data Intelligence

✍ Kaustubh Vaman Sakhare, Vibha Vyas, Apoorva S Shastri 📂 Library 📅 2024 🏛 CRC Press 🌐 English

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 rol

Metaheuristics for Data Clustering and I

📁 Metaheuristics for Data Clustering and Image Segmentation

✍ Meera Ramadas, Ajith Abraham 📂 Library 📅 2019 🏛 Springer International Publishing 🌐 English

In this book, differential evolution and its modified variants are applied to the clustering of data and images. Metaheuristics have emerged as potential algorithms for dealing with complex optimization problems, which are otherwise difficult to solve using traditional methods. In this regard,

Cognitive Big Data Intelligence with a M

📁 Cognitive Big Data Intelligence with a Metaheuristic Approach (Cognitive Data Science in Sustainable Computing)

✍ Sushruta Mishra (editor), Hrudaya Kumar Tripathy (editor), Pradeep Kumar Mallick 📂 Library 📅 2021 🏛 Academic Press 🌐 English

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 in

Cognitive Big Data Intelligence with a M

📁 Cognitive Big Data Intelligence with a Metaheuristic Approach (Cognitive Data Science in Sustainable Computing)

✍ Sushruta Mishra (editor), Hrudaya Kumar Tripathy (editor), Pradeep Kumar Mallick 📂 Library 📅 2021 🏛 Academic Press 🌐 English

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 in

Bio-inspired Algorithms for Data Streami

📁 Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing

✍ Simon James Fong, Richard C. Millham 📂 Library 📅 2021 🏛 Springer Singapore;Springer 🌐 English

This book aims to provide some insights into recently developed bio-inspired algorithms within recent emerging trends of fog computing, sentiment analysis, and data streaming as well as to provide a more comprehensive approach to the big data management from pre-processing to analytics to visu