This book includes the proceedings of the International Conference on Artificial Neural Networks (ICANN 2006) held on September 10-14, 2006 in Athens, Greece, with tutorials being presented on September 10, the main conference taking place during September 11-13 and accompanying workshops on perception, cognition and interaction held on September 14, 2006.
Foreword from the Program Chairs These proceedings contain the papers selected for presentation at the 10th - ropean Symposium on Research in Computer Security (ESORICS), held S- tember 12-14, 2005 in Milan, Italy.
Since its inception in 1997,the EuropeanConferenceon Researchand Advanced Technology for Digital Libraries (ECDL) has come a long way, creating a strong interdisciplinarycommunityofresearchersandpractitionersinthe?
The European Conference on Machine Learning (ECML) and the European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD) were jointly organized this year for the ?
The European Conference on Machine Learning (ECML) and the European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD) were jointly organized this year for the ?
For more than a decade, data warehousing and knowledge discovery technologies have been developing into key technologies for decision-making processes in com- nies.
During its 30-year existence, the International Workshop on Graph-Theoretic Concepts in Computer Science has become a distinguished and high-quality computer science event.
This volume contains revised versions of selected papers presented during the biannual meeting of the Classification and Data Analysis Group of SocietA Italiana di Statistica, which was held in Bologna, September 22-24, 2003.
This book constitutes the refereed proceedings of the 11th International Conference on Data Science, ICPCSEE 2025, held in Hiroshima, Japan, during September 19–21, 2025.
The two volume set LNBIP 566 - 567 constitutes the refereed post-conference proceedings of the 26th International Conference on Enterprise Information Systems, ICEIS 2024, which was held in Angers, France, during April 2024.
The two volume set LNBIP 566 - 567 constitutes the refereed post-conference proceedings of the 26th International Conference on Enterprise Information Systems, ICEIS 2024, which was held in Angers, France, during April 2024.
This text provides a mathematically rigorous introduction to modern methods of machine learning and data analysis at the advanced undergraduate/beginning graduate level.
The two volume set LNBIP 566 - 567 constitutes the refereed post-conference proceedings of the 26th International Conference on Enterprise Information Systems, ICEIS 2024, which was held in Angers, France, during April 2024.
This three-set volume LNCS 16217-16219 constitutes the refereed proceedings of 27th International Conference on Information and Communications Security, ICICS 2025, held in Nanjing, China, during October 29–31, 2025.
As industries move toward intelligent, adaptive, and efficient manufacturing processes, the integration of (artificial intelligence) AI, (Internet of Things) IoT, signal processing, and computer vision is crucial.
This book on statistical models and learning methods for complex data comprises a selection of peer-reviewed post-conference papers presented at the 14th Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical Society (CLADAG 2023), held in Salerno, Italy, September 11-13, 2023.
This three-set volume LNCS 16217-16219 constitutes the refereed proceedings of 27th International Conference on Information and Communications Security, ICICS 2025, held in Nanjing, China, during October 29–31, 2025.
The book covers theoretical foundations on how LLMs can enhance learning, cognitive reinforcement, improving learning efficiency, and personalization in learning, applications across the curriculum, teacher training and support for LLM integration, using in assessment and evaluation, and measuring the impact and affordances of LLMs.
Site characterization is indispensable to good geotechnical or rock engineering practice as every site is unique, but technical, budget, time, or access constraints typically result in only a tiny fraction of the underground soil and rock in a site being visually inspected, sampled, or tested.
Site characterization is indispensable to good geotechnical or rock engineering practice as every site is unique, but technical, budget, time, or access constraints typically result in only a tiny fraction of the underground soil and rock in a site being visually inspected, sampled, or tested.
Business Analytics is an emerging area which encompasses various technical understanding, essential for both engineering and management fields of study.
The book aims to develop methodologies and throw light on the advances in empirical research of various machine learning systems through data mining and parallel programming using GPU approaches.
The book aims to develop methodologies and throw light on the advances in empirical research of various machine learning systems through data mining and parallel programming using GPU approaches.
