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Marketing Analytics A Machine Learning Approach

Marketing Analytics A Machine Learning Approach

With businesses becoming ever more competitive marketing strategies need to be more precise and performance oriented. Companies are investing considerably in analytical infrastructure for marketing. This new volume Marketing Analytics: A Machine Learning Approach enlightens readers on the application of analytics in marketing and the process of analytics providing a foundation on the concepts and algorithms of machine learning and statistics. The book simplifies analytics for businesses and explains its uses in different aspects of marketing in a way that even marketers with no prior analytics experience will find it easy to follow giving them to tools to make better business decisions. This volume gives a comprehensive overview of marketing analytics incorporating machine learning methods of data analysis that automates analytical model building. The volume covers the important aspects of marketing analytics including segmentation and targeting analysis statistics for marketing marketing metrics consumer buying behavior neuromarketing techniques for consumer analytics new product development forecasting sales and price web and social media analytics and much more. This well-organized and straight-forward volume will be valuable for marketers managers decision makers and research scholars and faculty in business marketing and information technology and would also be suitable for classroom use. | Marketing Analytics A Machine Learning Approach

GBP 124.00
1

Mechanical Engineering for Sustainable Development: State-of-the-Art Research

Cognitive Computing Systems Applications and Technological Advancements

Handbook of Artificial Intelligence in Biomedical Engineering

Bioelectronics and Medical Devices Applications and Technology

Computational Intelligence in Analytics and Information Systems 2-volume set

Computational Intelligence in Analytics and Information Systems 2-volume set

This new two-volume addresses a number of state-of-the-art developments and unsolved open issues in the field of computational intelligence. Volume 1 focuses on data science and artificial intelligence. It highlights the use of predictive analytics of data from various application domains to find timely solutions to various problems. The book focuses on the research developments limitations and management of real-time problems using computational intelligence by identifying applicable approaches in order to enhance automate and develop effective solutions. The volume introduces empirical research prospects of theoretical research and applications in data science and artificial intelligence. The chapters present diverse application of computer intelligence and machine learning in security healthcare and medicine agriculture traffic science/smart cities and language and text conversion. Volume 2 demonstrates empirical theoretical and application perspectives on smart technologies computational intelligence in network technologies and computational intelligence in software engineering identifying the advantages and limitations of each. The chapters on smart technologies address their application in such areas as communication services healthcare and assistive technology urban waste management vehicle pollution and accident detection and more. The technologies encompass the use of machine learning blockchain fog computing satellite communication technology ant colony optimization algorithms etc. Together these two volumes offer new research on presented by young and dynamic researchers and experts from industry and academia sharing a plethora of new and emerging technologies that support their effective operations in computational intelligence in information systems. These peer-review chapters were selected from the International Conference on Computational Intelligence in Analytics and Information Systems’ (CIAIS- 2021) held in April 2021 at Manav Rachna University India. | Computational Intelligence in Analytics and Information Systems 2-volume set

GBP 208.00
1

Handbook of Research on Artificial Intelligence and Soft Computing Techniques in Personalized Healthcare Services

Diseases of Horticultural Crops: Diagnosis and Management Volume 3: Ornamental Plants and Spice Crops

Sustainable Management of Land Resources An Indian Perspective

Sustainable Management of Land Resources An Indian Perspective

The depletion of land resources is one of the greatest challenges for mankind in this millennium. Shrinking land resources weather aberrations deterioration of land quality and the globalization and liberalization of market economies have become intertwined to influence the sustainable management of land resources and land use plans. This important volume Sustainable Management of Land Resources: An Indian Perspective addresses these challenges. This comprehensive volume covering important research much of it gathered with the use of new technology tools and applications is organized into four sections: (add bullets)land resource inventory and characterizationgeospatial technologies in land resource mapping and managementsoil nutrient status and management land use planning and livelihood securityThe volume looks at how scientists translate their knowledge and experience in sustainable land resources and management into implementable policy decisions with a particular focus on India. Since India is an agrarian economy the land resources assume a very critical role affecting the livelihood of a vast majority of populace in the country. The information gathered—and the methods by which it is gathered—is applicable globally. This comprehensive publication will be highly useful for the researchers academicians extension workers policymakers planners officials of land resources survey planning and management institutions/agencies/departments and others. | Sustainable Management of Land Resources An Indian Perspective

GBP 82.99
1

Agricultural Drones A Peaceful Pursuit

Agricultural Drones A Peaceful Pursuit

Agricultural drones are expected to revolutionize the way we conduct agronomic procedures and maintain natural vegetation on earth. This book explores the increasing importance of the role of aerial robots in managing agricultural farms and natural resources. Agricultural Drones: A Peaceful Pursuit provides a wealth of information on drone usage in agriculture. The book discusses the advanced sensors and imaging capabilities of drones that give farmers new ways to increase yields and reduce crop damage. An introductory chapter provides historical data with details about various models of drones as well as the most recent and popular agricultural drones in usage. The book goes onto look at such topics as the use of drones for soil fertility production agronomy irrigation weed control pest and disease control grain yield forecasting and economic advantages from drone use. This timely and useful volume will be a valuable resource for faculty agricultural extension officers and farmers and farm consultancy agencies. This book would also serve as an excellent textbook for students in agriculture engineering geography etc. Key features:• outlines the advantages of using drones in agriculture such as for the management of soil fertility the study of natural resources and vegetation the maintenance of adequate irrigation and the control of weeds and pests• covers the economic advantages of using drones in agriculture• examines the regulatory aspects of agricultural drones• provides actual examples of drone usage in agriculture | Agricultural Drones A Peaceful Pursuit

GBP 82.99
1

Computational Intelligence in Analytics and Information Systems Volume 1: Data Science and AI​ ​Selected Papers from CIAIS-2021

Computational Intelligence in Analytics and Information Systems Volume 1: Data Science and AI​ ​Selected Papers from CIAIS-2021

The new book presents a valuable selection of state-of-the-art technological advancements using the concepts of AI and machine learning highlighting the use of predictive analytics of data to find timely solutions to real-time problems. It helps to identify applicable approaches in order to enhance automate and develop effective solutions to challenges in data science and artificial intelligence. The various novel approaches include applications in healthcare natural language processing and smart cities. As such the book is divided into sections that address: Computational Intelligence in Image Processing Computational Intelligence in Healthcare Techniques for Natural Language Processing Computational Intelligence in Smart Cities The very diverse range of topics include AI and machine learning applications for In security: For using digital image processing for image fusion (face recognition feature extraction object detection as well tracking moving object identification) for person re-identification for security purposes. In healthcare and medicine: For diagnosis and prediction of breast cancer other cancers diabetes heart disease; for predicting susceptibility to COVID-19; for prediction of mood and anxiety disorders. In agriculture: For prediction of crop profit; for prediction of cropping patterns and recommendation for crop cultivation. In traffic science/smart cities: For understanding road scene images for detection of traffic signs for devising a fog-based intelligent traffic phase timing regulation system In language/speech/text: For automatic text summarization for document indexing for unstructured data for speech/accent recognition for sound separation for American Sign Language interpretation for nonsigners for emotional recognition and analysis through speech body postures with facial expressions and other body movements (to improve the performance of virtual personal assistants / emotion recognition using speech body postures with facial expressions and other body movements. This volume offers valuable information for researchers working in interdisciplinary or multidisciplinary areas of healthcare image analysis natural language processing and smart cities. This includes academicians people in industry and students with engineering background with research interest in these areas. These peer-review chapters were selected from the International Conference on Computational Intelligence in Analytics and Information Systems (CIAIS- 2021) held in April 2021 at Manav Rachna University India. Together with Volume 2: Advances in Digital Transformation this 2-volume set offers an abundacne of valuable information on emerging technologies in computational intelligence in information systems focusing on data science and artificial intelliegence. | Computational Intelligence in Analytics and Information Systems Volume 1: Data Science and AI​ ​Selected Papers from CIAIS-2021

GBP 147.00
1

Computational Intelligence in Analytics and Information Systems Volume 2: Advances in Digital Transformation Selected Papers from CIAIS-2021

Computational Intelligence in Analytics and Information Systems Volume 2: Advances in Digital Transformation Selected Papers from CIAIS-2021

This new volume presents a selection of state-of-the-art technological advancements in IoT network technologies and software engineering that address unsolved issues in computational intelligence. The volume focuses on empirical theoretical and application perspectives on smart technologies and computational intelligence identifying the advantages and limitations of each. The chapters on smart technologies address their application in communication services healthcare and assistive technology urban waste management vehicle pollution and accident detection and more. The technologies encompass the use of machine learning blockchain fog computing etc. The volume goes on to discuss computational intelligence in network technologies as well as cryptography mechanisms internet privacy protection satellite communication technology ant colony optimization algorithms etc. The topics on computational intelligence in software engineering include security optimization via software-defined networking education-based interactive automated agent data warehouse requirement engineering and more. Together with Volume 1: Data Science and AI Selected Papers from CIAIS-2021 this 2-volume set offers and abundance of valuable information on emerging technologies in computational intelligence. | Computational Intelligence in Analytics and Information Systems Volume 2: Advances in Digital Transformation Selected Papers from CIAIS-2021

GBP 147.00
1