This comprehensive book presents an in-depth and systematic introduction to ensemble methods for researchers in machine learning, data mining, and related areas. It helps readers solve modem problems in machine learning using these methods. The author covers the spectrum of rese…
Combined classifiers, which are central to the ubiquitous performance of pattern recognition and machine learning, are generally considered more accurate than single classifiers. In a didactic, detailed assessment, Combining Pattern Classifiers examines the basic theories and ta…
"Fundamentals of Database Indexing and Searching presents well-known database searching and indexing techniques. It focuses on similarity search queries, showing how to use distance functions to measure the notion of dissimilarity.After defining database queries and similarity s…
"Knowledge science is a problem-oriented interdisciplinary field that explores the modeling and application of the knowledge creation process. It encompasses disciplines such as knowledge management, technology and service management, knowledge synthesis and creation, and innova…
by Davenport, Thomas H., Kudyba, Stephan, Kudyba, Stephan
"Foreword Big data and analytics promise to change virtually every industry and business function over the next decade. Any organization that gets started early with big data can gain a significant competitive edge. Just as early analytical competitors in the "small data" era (i…
"Foreword Big data and analytics promise to change virtually every industry and business function over the next decade. Any organization that gets started early with big data can gain a significant competitive edge. Just as early analytical competitors in the "small data" era (i…
"Deep Learning: A Comprehensive Guide focuses on all the relevant topics in the field of Deep Learning. Covers the conceptual, mathematical and practical aspects of all relevant topics in deep learning Offers real time practical examples Provides case studies This book is aimed …
"This book aims to explain Data Analytics towards decision making in terms of models and algorithms, theoretical concepts, applications, experiments in relevant domains or focused on specific issues. It explores the concepts of database technology, machine learning, knowledge-ba…
Consent is necessary for collecting, processing and transferring Personal Identifiable Information (PII) and sensitive personal data. But to what extent? What are the limitations and restricts to avoid penalties under The General Data Protection Regulation 2018 (GDPR) rules, whi…
The strategically sound combination of edge computing and artificial intelligence (AI) results in a series of distinct innovations and disruptions enabling worldwide enterprises to visualize and realize next-generation software products, solutions and services. Businesses, indiv…
"The book focuses on suggesting software solutions for supporting societal issues such as health care, learning and monitoring mythology for disables and also technical solutions for better living. It also has the high potential to be used as recommended textbook for research sc…
"Focusing on the cutting-edge applications of AI cognitive computing from neuromorphic to quantum cognition as applied to AI business analytics, this new volume explores AI's importance in managing cognitive processes along with ontological modeling concepts for venturing into n…
"This book will focus on RFID (Radio Frequency Identification), IoT (Internet of Things), and WSN (Wireless Sensor Network). It will include contributions that discuss the security and privacy issues as well as the opportunities and applications that are tightly linked to sensit…
"In a world of soaring digitization, social media, financial transactions, and production and logistics processes constantly produce massive data. Employing analytical tools to extract insights and foresights from data improves the quality, speed, and reliability of solutions to…
IoT is empowered by various technologies used to detect, gather, store, act, process, transmit, oversee, and examine information. The combination of emergent technologies for information processing and distributed security, such as Cloud computing, Artificial intelligence, and B…
A Strong Practical Focus on Applications and AlgorithmsComputational Statistics Handbook with MATLAB®, Third Edition covers today's most commonly used techniques in computational statistics while maintaining the same philosophy and writing style of the bestselling previous editi…
Fundamental concepts on neural networks -- Some common neural network models -- Multivariate statistics neural network models -- Regression neural network models -- Survival analysis and other networks.
"Topics included plan verification, generation, and execution, negotiation operators, representation, network management problem, and conflict-resolution paradigms. The manuscript elaborates on negotiating task decomposition and allocation using partial global planning and mecha…
