This three-volume set CCIS 2873-2875 constitutes the revised selected papers of the 7th International Conference on Soft Computing and its Engineering Applications, icSoftComp 2025, held in Hanoi, Vietnam, during December 9–11, 2025.
This book constitutes the refereed proceedings of the 18th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2026, held in Kaohsiung, Taiwan during April 13–15, 2026.
This book constitutes the refereed proceedings of the 18th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2026, held in Kaohsiung, Taiwan during April 13–15, 2026.
Multidimensional statistical analysis of textual data is a powerful technique that enables researchers to uncover deeper insights into the context and meaning of documents.
Multidimensional statistical analysis of textual data is a powerful technique that enables researchers to uncover deeper insights into the context and meaning of documents.
This three-volume set CCIS 2873-2875 constitutes the revised selected papers of the 7th International Conference on Soft Computing and its Engineering Applications, icSoftComp 2025, held in Hanoi, Vietnam, during December 9–11, 2025.
This three-volume set CCIS 2873-2875 constitutes the revised selected papers of the 7th International Conference on Soft Computing and its Engineering Applications, icSoftComp 2025, held in Hanoi, Vietnam, during December 9–11, 2025.
This book constitutes the proceedings of the 26th International Conference on Business Information Systems, BIS 2026, which took place in Prague, Czech Republic, during June 10-12, 2026.
This book constitutes the proceedings of the 26th International Conference on Business Information Systems, BIS 2026, which took place in Prague, Czech Republic, during June 10-12, 2026.
Graph Neural Networks (GNNs) have revolutionized the way we learn representations from graph-structured data, becoming a cornerstone for applications in social networks, recommendation systems, biology, and beyond.
Graph Neural Networks (GNNs) have revolutionized the way we learn representations from graph-structured data, becoming a cornerstone for applications in social networks, recommendation systems, biology, and beyond.
This book constitutes the refereed proceedings of the 8th International Conference on Machine Learning for Networking, MLN 2025, held in Paris, France, during December 2–4, 2025.
This book constitutes the refereed proceedings of the 8th International Conference on Machine Learning for Networking, MLN 2025, held in Paris, France, during December 2–4, 2025.
This book constitutes the proceedings of the 6th International Conference on Financial Technology, ICFT 2025, held in Hong Kong, China, during November 6–8, 2025.
This book constitutes the proceedings of the 6th International Conference on Financial Technology, ICFT 2025, held in Hong Kong, China, during November 6–8, 2025.
This three-volume set delves into the intersection of cutting-edge technology and environmental science to address pressing challenges in the water sector and develop digitalization solutions that can have practical implementation in decision-making and management of wastewater treatment.
This three-volume set delves into the intersection of cutting-edge technology and environmental science to address pressing challenges in the water sector and develop digitalization solutions that can have practical implementation in decision-making and management of wastewater treatment.
The transformative impact of emerging technologies such as AI, blockchain, and machine learning on industries and societies, particularly in Africa, can drive sustainable development, improve governance, and address global challenges like climate change, economic inequality, and data privacy.
The objective of the conference is to bring to focus the recent technological advancements across all the stages of data analysis including acquisition, processing, and communication.
The objective of the conference is to bring to focus the recent technological advancements across all the stages of data analysis including acquisition, processing, and communication.
The breadth of problems that can be solved with data science is astonishing, and this book provides the required tools and skills for a broad audience.
Unstructured Mining Approaches to Solve Complex Scientific ProblemsAs the volume of scientific data and literature increases exponentially, scientists need more powerful tools and methods to process and synthesize information and to formulate new hypotheses that are most likely to be both true and important.
Since the beginning of the Internet age and the increased use of ubiquitous computing devices, the large volume and continuous flow of distributed data have imposed new constraints on the design of learning algorithms.
The breadth of problems that can be solved with data science is astonishing, and this book provides the required tools and skills for a broad audience.
Innovation and Knowledge Management in Manufacturing Industry: Case Studies and Applications is a valuable resource to organizations in the modern manufacturing setting where change is fast, competition is intense, and where technological changes take place continuously.
The transformative impact of emerging technologies such as AI, blockchain, and machine learning on industries and societies, particularly in Africa, can drive sustainable development, improve governance, and address global challenges like climate change, economic inequality, and data privacy.
Bringing together market research reports, business analyst briefings, and technology references into one comprehensive volume, Business Intelligence for Telecommunications identifies those advances in both methods and technology that are being employed to inform decision-making and give companies an edge in the rapidly growing and highly competitive telecommunications industry.
Exploiting the rich information found in electronic health records (EHRs) can facilitate better medical research and improve the quality of medical practice.
This book discusses the relevance of probabilistic supervised learning, to the pursuit of automated and reliable prediction of an unknown that is in a state of relationship with another variable.
Applies the Principles of Informatics to the Pharmacy ProfessionEmphasizes Evidence-Based Practice and Quality Improvement ApproachesLeading the way in the integration of information technology with healthcare, Pharmacy Informatics reflects some of the rapid changes that have developed in the pharmacy profession.
Innovation and Knowledge Management in Manufacturing Industry: Case Studies and Applications is a valuable resource to organizations in the modern manufacturing setting where change is fast, competition is intense, and where technological changes take place continuously.
Effective decision support systems (DSS) are quickly becoming key to businesses gaining a competitive advantage, and the effectiveness of these systems depends on the ability to construct, maintain, and extract information from data warehouses.
As artificial intelligence (AI) permeates day-to-day life-influencing who is granted what type of healthcare, determining who is granted an employment interview or academic enrollment, or delivering what information to whom-it frames individuals and society.
As artificial intelligence (AI) permeates day-to-day life-influencing who is granted what type of healthcare, determining who is granted an employment interview or academic enrollment, or delivering what information to whom-it frames individuals and society.
This book discusses the relevance of probabilistic supervised learning, to the pursuit of automated and reliable prediction of an unknown that is in a state of relationship with another variable.
Das Buch betrachtet das Thema Suchmaschinen ausgehend von der täglichen Recherche und führt in die technischen Grundlagen, in Recherchetechniken sowie die gesellschaftlichen und wirtschaftlichen Bedingungen der Recherche im Web ein.
Der Autor gibt eine umfassende Übersicht der Konzepte für Quality of Service (QoS) und Quality of Experience im Mobilkommunikationsbereich, also die vom Endkunden wahrgenommene Qualität entsprechender Dienste und Funktionen, die Definition der Messgrößen und die praktische Umsetzung.
