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Machine Learning for Data Science Handbook
This book organizes key concepts, theories, standards, methodologies, trends, challenges and applications of data mining and knowledge discovery in databases. It first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. It also gives in-depth descriptions of data mining applications in various interdisciplinary industries.
Conceptual Structures: Knowledge Architectures for Smart Applications
Researchers and professionals in the relevant fields will find this book a must-read, as it defines the leading edge of current research into conceptual structures. It constitutes the refereed proceedings of the 15th International Conference on Conceptual Structures, held in Sheffield, UK in July 2007. With almost 50 papers contained in its 500 pages, it includes a special focus on the application of conceptual structures in business and technological settings and is organized into topical sections for ease of reference.
Web-powered Databases
This text provides a snapshot of contemporary research and development activities in the area of Web and Internet databases. It also provides case studies of successful Web database applications, including an online pay claim, a product catalogue and multiple-choice assessment through the Web.
Advances in Informatics
This volume contains a subset of the papers presented at the 10th Panhellenic Conference in Informatics (PCI 2005), which took place at the City of Volos, Greece, during November 11–13, 2005. After an international call for papers, 252 full papers were submitted. The number of the submitted papers constitutes a record number for the conf- ence and reveals its growing dynamics. The authors represented universities and institutes from the following countries: Algeria, Bulgaria, China, Cyprus, Czech Republic, Finland, Greece, The Netherlands, Hungary, Italy, Japan, Korea, The Kingdom of Saudi Arabia, Lebanon, Lithuania, Malaysia, Poland, Romania, Spain, Taiwan, Turkey, Ukraine, UK, and USA. O...
Exploring Religious Dimensions in AI and Humanity
Exploring Religious Dimensions in A.I. and Humanity explores how the phenomenal advancements of artificial intelligence can reshape our spiritual journeys and influence established ethical frameworks. Very Reverend Dr. Aristarchos Gkrekas offers insights grounded in deep religious understanding. Nicholas Kokkinos provides insightful analyses of the ethical implications of emerging technologies and the potential for AI to serve as a dynamic repository of religious knowledge. Through years of collaboration, both authors sought a common approach to navigate the exponential growth of technology and its impact on humanity's enduring questions about consciousness, ethics, and spirituality. This book is an essential read for those intrigued by the evolving dialogue between technology and spirituality and is enriched by references to centuries-old texts. It promises to ignite curiosity and spark a deeper understanding of our digital age's spiritual dimensions and the ethical questions that arise from these phenomenal developments.
Machine Learning and Knowledge Discovery in Databases, Part III
This three-volume set LNAI 6911, LNAI 6912, and LNAI 6913 constitutes the refereed proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2011, held in Athens, Greece, in September 2011. The 121 revised full papers presented together with 10 invited talks and 11 demos in the three volumes, were carefully reviewed and selected from about 600 paper submissions. The papers address all areas related to machine learning and knowledge discovery in databases as well as other innovative application domains such as supervised and unsupervised learning with some innovative contributions in fundamental issues; dimensionality reduction, distance and similarity learning, model learning and matrix/tensor analysis; graph mining, graphical models, hidden markov models, kernel methods, active and ensemble learning, semi-supervised and transductive learning, mining sparse representations, model learning, inductive logic programming, and statistical learning. a significant part of the papers covers novel and timely applications of data mining and machine learning in industrial domains.
Engineering Applications of Neural Networks
This book constitutes the refereed proceedings of the 24th International Conference on Engineering Applications of Neural Networks, EANN 2023, held in León, Spain, in June 2023. The 41 revised full papers and 8 revised short papers presented were carefully reviewed and selected from 125 submissions. The papers are organized in topical sections on artificial intelligence - computational methods - ethology; classification - filtering - genetic algorithms; complex dynamic networks' optimization/ graph neural networks; convolutional neural networks/spiking neural networks; deep learning modeling; deep/machine learning in engineering; LEARNING (reinforcemet - federated - adversarial - transfer); natural language - recommendation systems.
Web Information Systems
The era of web technology has enabled information and application sharing through the Internet. The large amount of information on the Internet, the large number of users, and the complexity of the application and information types have introduced new areas whereby these issues are explored and addressed.
Advances in Informatics
This book constitutes the thoroughly refereed post-proceedings of the 8th Panhellenic Conference on Informatics, PCI 2001, held in Nicosia, Cyprus in November 2001. The 31 revised full papers presented were carefully selected and improved during two months of reviewing from 104 conference papers. The papers cover the areas of databases, data mining and intelligent systems, e-learning, human computer interaction, image processing, networks and systems, software and languages, and theoretical computer science.
Web Data Management Practices
"This book provides an understanding of major issues, current practices and the main ideas in the field of Web data management, helping readers to identify current and emerging issues, as well as future trends. The most important aspects are discussed: Web data mining, content management on the Web, Web applications and Web services"--Provided by publisher.
