Ajith Abraham Poradie kníh

This comprehensive text is the first of three volumes on computational social networks (CSNs), exploring the intersection of social behavior and computer systems. It features contributions from global experts, focusing on practical tools, applications, and research opportunities. Ideal for researchers and students, it covers design, analysis, and simulations of social networks.

This book constitutes the thoroughly refereed post-conference proceedings of the first International Symposium on Intelligent Informatics (ISI'12) held in Chennai, India during August 4-5, 2012. The 54 revised papers presented were carefully reviewed and selected from 165 initial submissions. The papers are organized in topical sections on data mining, clustering and intelligent information systems, multi agent systems, pattern recognition, signal and image processing and, computer networks and distributed systems. The book is directed to the researchers and scientists engaged in various fields of intelligent informatics.

This volume is the first part of a four-volume set (CCIS 190, CCIS 191, CCIS 192, CCIS 193), which constitutes the refereed proceedings of the First International Conference on Computing and Communications, ACC 2011, held in Kochi, India, in July 2011. The 68 revised full papers presented in this volume were carefully reviewed and selected from a large number of submissions. The papers are organized in topical sections on ad hoc networks; advanced micro architecture techniques; autonomic and context-aware computing; bioinformatics and bio-computing; cloud, cluster, grid and P2P computing; cognitive radio and cognitive networks; cyber forensics; database and information systems.

This volume is the third part of a four-volume set (CCIS 190, CCIS 191, CCIS 192, CCIS 193), which constitutes the refereed proceedings of the First International Conference on Computing and Communications, ACC 2011, held in Kochi, India, in July 2011. The 70 revised full papers presented in this volume were carefullyreviewed and selected from a large number of submissions. The papers are organized in topical sections on security, trust and privacy; sensor networks; signal and image processing; soft computing techniques; system software; vehicular communications networks.

The International Symposium on Distributed Computing and Artificial Intelligence 2011 (DCAI 2011) serves as a dynamic forum for the scientific community to foster collaboration in the fields of Distributed Computing and Artificial Intelligence. This conference highlights innovative techniques applied to complex problems, showcasing the transformative impact of artificial intelligence on society. Its applications in distributed environments—such as the internet, e-commerce, environmental monitoring, mobile communications, and wireless devices—are rapidly expanding, offering significant social and economic benefits across industry, quality of life, and research. The continuous evolution of these technologies is driven by extensive research efforts in both academic and industrial settings. Facilitating the exchange of ideas among scientists and technicians is crucial for developing systems that address contemporary societal needs. This edition of DCAI consolidates past experiences, current research, and promising trends in distributed computing and artificial intelligence, aiming to provide efficient solutions to real-world challenges. Organized by the Bioinformatics, Intelligent System and Educational Technology Research Group at the University of Salamanca, the symposium took place in Salamanca, Spain, from April 6 to 8, 2011.

Cluster analysis organizes an unlabeled collection of objects into distinct groups based on similarity. This process has been explored through various domains, including graph theory, multivariate analysis, neural networks, and fuzzy set theory. While clustering is often labeled as an unsupervised learning method, many traditional algorithms require prior specification of the number of clusters, which limits its unsupervised nature. Modern data mining tools necessitate rapid and fully automatic clustering of large datasets with minimal user intervention to predict future trends and behaviors for informed decision-making. This volume presents clustering as an optimization problem, aiming to find the best partitioning of a dataset by minimizing or maximizing one or more objective functions. It showcases real-world applications and demonstrates the effectiveness of several metaheuristics, particularly the Differential Evolution algorithm, in both single and multi-objective clustering scenarios where the number of clusters is not predetermined. Comprising seven chapters, the book starts with fundamental definitions and concludes with significant research challenges. It offers valuable insights for academics, scientists, and engineers involved in optimization techniques and data mining research and applications.

This book is focused on the latest technologies related to Hybrid Soft Computing targeting academia, scientists, researchers, and graduate students.

Along the years, rough set theory has earned a well-deserved reputation as a sound methodology for dealing with imperfect knowledge in a simple though mathematically sound way. This edited volume aims at continue stressing the benefits of applying rough sets in many real-life situations while still keeping an eye on topological aspects of the theory as well as strengthening its linkage with other soft computing paradigms. The volume comprises 11 chapters and is organized into three parts. Part 1 deals with theoretical contributions while Parts 2 and 3 focus on several real world data mining applications. Chapters authored by pioneers were selected on the basis of fundamental ideas/concepts rather than the thoroughness of techniques deployed. Academics, scientists as well as engineers working in the rough set, computational intelligence, soft computing and data mining research area will find the comprehensive coverage of this book invaluable.

Evolutionary design of intelligent systems is gaining much popularity due to its capabilities in handling several real world problems involving optimization, complexity, noisy and non-stationary environment, imprecision, uncertainty and vagueness. This edited volume 'Engineering Evolutionary Intelligent Systems' deals with the theoretical and methodological aspects, as well as various evolutionary algorithm applications to many real world problems originating from science, technology, business or commerce. This volume comprises of 15 chapters including an introductory chapter which covers the fundamental definitions and outlines some important research challenges. Chapters were selected on the basis of fundamental ideas/concepts rather than the thoroughness of techniques deployed.

Swarm Intelligence is an innovative distributed intelligent paradigm for solving optimization problems that originally took its inspiration from the biological examples by swarming, flocking and herding phenomena in vertebrates. Data Mining is an analytic process designed to explore large amounts of data in search of consistent patterns and/or systematic relationships between variables, and then to validate the findings by applying the detected patterns to new subsets of data. This book deals with the application of swarm intelligence in data mining. Addressing the various issues of swarm intelligence and data mining using different intelligent approaches is the novelty of this edited volume. This volume comprises of 11 chapters including an introductory chapter giving the fundamental definitions and some important research challenges. Important features include the detailed overview of the various swarm intelligence and data mining paradigms, excellent coverage of timely, advanced data mining topics, state-of-the-art theoretical research and application developments and chapters authored by pioneers in the field. Academics, scientists as well as engineers engaged in research, development and application of optimization techniques and data mining will find the comprehensive coverage of this book invaluable.