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Information Management: 10th International Conference, ICIM 2024, Cambridge, UK, March 8–10, 2024, Revised Selected Papers (Communications in Computer and Information Science #2102)
by Shuliang LiThis book constitutes the refereed proceedings of the 10th International Conference on Information Management, ICIM 2024, held in Cambridge, UK, during March 8–10, 2024. The 26 full papers and 12 short papers included in this book were carefully reviewed and selected from 139 submissions. They were organized in topical sections as follows: data based information systems and security management, design and development of digital information platform based on AI, knowledge based technological innovation and management, data oriented recommendation system and information management, process optimization and management in modern integrated information systems, intelligent information system and platform construction.
Information Management and Big Data: Second Annual International Symposium, Simbig 2015, Cusco, Peru, September 2-4, 2015, And Third Annual International Symposium, Simbig 2016, Cusco, Peru, September 1-3, 2016, Revised Selected Papers (Communications In Computer And Information Science #656)
by Hugo Alatrista-Salas Juan Antonio Lossio-VenturaThis book constitutes the refereed proceedings of the 4th Annual International Symposium on Information Management and Big Data, SIMBig 2017, held in Lima, Peru, in September 2017.The 10 revised full papers presented were carefully reviewed and selected from 71 submissions. The papers address issues such as Data Science, Big Data, Data Mining, Natural Language Processing, Text Mining, Information Retrieval, Machine Learning, Semantic Web, Ontologies, Web Mining, Knowledge Representation and Linked Open Data, Social Web and Web Science, Information Visualization.
Information Management and Big Data: 10th Annual International Conference, SIMBig 2023, Mexico City, Mexico, December 13–15, 2023, Proceedings (Communications in Computer and Information Science #2142)
by Juan Antonio Lossio-Ventura Hugo Alatrista-Salas Hiram Calvo Genoveva Vargas-Solar Eduardo Ceh-Varela Ricardo Marcacini Claude TadonkiThis book constitutes the refereed proceedings of the 10th Annual International Conference on Information Management and Big Data, SIMBig 2023, held in Mexico City, Mexico, during December 13–15, 2023. The 19 full papers and 6 short papers included in this book were carefully reviewed and selected from 64 submissions. SIMBig 2023 introduced innovative approaches for analyzing and handling datasets as well as new methods based on Artificial Intelligence (AI), Data Science, Machine Learning, Natural Language Processing, Semantic Web, Data-driven Software Engineering, Health Informatics, and more.
Information Management and Big Data: 6th International Conference, SIMBig 2019, Lima, Peru, August 21–23, 2019, Proceedings (Communications in Computer and Information Science #1070)
by Juan Antonio Lossio-Ventura Nelly Condori-Fernandez Jorge Carlos Valverde-RebazaThis book constitutes the refereed proceedings of the 6th International Conference on Information Management and Big Data, SIMBig 2019, held in Lima, Peru, in August 2019.The 15 full papers and 16 short papers presented were carefully reviewed and selected from 104 submissions. The papers address issues such as data mining, artificial intelligence, Natural Language Processing, information retrieval, machine learning, web mining.
Information Management and Big Data: 7th Annual International Conference, SIMBig 2020, Lima, Peru, October 1–3, 2020, Proceedings (Communications in Computer and Information Science #1410)
by Juan Antonio Lossio-Ventura Jorge Carlos Valverde-Rebaza Eduardo Díaz Hugo Alatrista-SalasThis book constitutes the refereed proceedings of the 7th International Conference on Information Management and Big Data, SIMBig 2020, held in Lima, Peru, in October 2020.*The 32 revised full papers and 7 revised short papers presented were carefully reviewed and selected from 122 submissions. The papers address topics such as natural language processing and text mining; machine learning; image processing; social networks; data-driven software engineering; graph mining; and Semantic Web, repositories, and visualization. *The conference was held virtually.
Information Management and Big Data: 5th International Conference, SIMBig 2018, Lima, Peru, September 3–5, 2018, Proceedings (Communications in Computer and Information Science #898)
by Juan Antonio Lossio-Ventura Denisse Muñante Hugo Alatrista-SalasThis book constitutes the refereed proceedings of the 5th International Conference on Information Management and Big Data, SIMBig 2018, held in Lima, Peru, in September 2018. The 34 papers presented were carefully reviewed and selected from 101 submissions. The papers address issues such as data mining, artificial intelligence, Natural Language Processing, information retrieval, machine learning, web mining.
Information Management and Big Data: 9th Annual International Conference, SIMBig 2022, Lima, Peru, November 16–18, 2022, Proceedings (Communications in Computer and Information Science #1837)
by Juan Antonio Lossio-Ventura Jorge Valverde-Rebaza Eduardo Díaz Hugo Alatrista-SalasThis book constitutes the refereed proceedings of the 9th Annual International Conference on Information Management and Big Data, SIMBig 2022, held in Lima, Peru, during November 16–18, 2022.The 18 full papers and 1 short paper included in this book were carefully reviewed and selected from 50 submissions. The volume presented novel methods for the analysis and management of large data, in fields like Artificial Intelligence (AI), Data Science, Machine Learning, Natural Language Processing, Semantic Web, Data-driven Software Engineering, Health Informatics.
Information Management and Big Data: 8th Annual International Conference, SIMBig 2021, Virtual Event, December 1–3, 2021, Proceedings (Communications in Computer and Information Science #1577)
by Juan Antonio Lossio-Ventura Jorge Valverde-Rebaza Eduardo Díaz Denisse Muñante Carlos Gavidia-Calderon Alan Demétrius Baria Valejo Hugo Alatrista-SalasThis book constitutes the refereed proceedings of the 8th International Conference on Information Management and Big Data, SIMBig 2021, held as a virtual event in December 2021. The 25 revised full papers and 2 revised short papers presented were carefully reviewed and selected from 67 submissions. The papers are organized in topical sections on data mining and applications; deep learning and applications; data-driven software engineering; health, NLP, and social media; image processing, machine learning, and semantic web.
Information Management and Machine Intelligence: Proceedings of ICIMMI 2019 (Algorithms for Intelligent Systems)
by Dinesh Goyal Valentina Emilia Bălaş Abhishek Mukherjee Victor Hugo C. de Albuquerque Amit Kumar GuptaThis book features selected papers presented at the International Conference on Information Management and Machine Intelligence (ICIMMI 2019), held at the Poornima Institute of Engineering & Technology, Jaipur, Rajasthan, India, on December 14–15, 2019. It covers a range of topics, including data analytics; AI; machine and deep learning; information management, security, processing techniques and interpretation; applications of artificial intelligence in soft computing and pattern recognition; cloud-based applications for machine learning; application of IoT in power distribution systems; as well as wireless sensor networks and adaptive wireless communication.
Information Management Capabilities in Public Safety and Security: Challenges, Strategies and Frameworks (Advanced Sciences and Technologies for Security Applications)
by Fraser Moffatt Brian RectorThis book provides thoughtful and extensively researched perspectives, to improve understanding of risks and rewards, and to outline strategies for developing and implementing mature information management capabilities focused on core public safety and security outcomes. Decision makers in Canadian public safety and security organizationslaw enforcement, fire and paramedic services, emergency management and national security, from local to national scopes and scales—are faced with an onslaught of rapidly changing technologies with uncertain application in an increasingly complex safety and security. How do these technologies fit into a strategic information management capability for public safety and security organizations? How do these technologies impact other areas of the organization? How can we harness these technologies to improve safety and security outcomes for Canadians? How would information governance strategy, governance and resourcing need to be structured and how would this function in the current operating environment and how would ethics, standards, privacy and information sharing and protection mechanisms need to be addressed in the face of compliance with legislation, regulation or policy? This volume makes the case for adopting strategic IM mindsets and practices intended to address a range of persistent IM challenges in public safety and security such as: building mature analytics and information sharing capabilities; building ethics, privacy, security and standards into IM governance aligned with public safety and security outcomes. The book is intended for senior decision makers in organizations that have responsibilities to delivery on core public safety and security outcomes and rely on information management to do so. These decision-makers face rapidly changing technologies in an increasingly complex business environment, face pressures for talent management and face risk-laden practices that impede or constrain the optimal use of information to achieve these outcomes for their organizations.
Information Modeling for Interoperable Dimensional Metrology
by Y Zhao Robert Brown T Kramer Xun XuDimensional metrology is an essential part of modern manufacturing technologies, but the basic theories and measurement methods are no longer sufficient for today's digitized systems. The information exchange between the software components of a dimensional metrology system not only costs a great deal of money, but also causes the entire system to lose data integrity. Information Modeling for Interoperable Dimensional Metrology analyzes interoperability issues in dimensional metrology systems and describes information modeling techniques. It discusses new approaches and data models for solving interoperability problems, as well as introducing process activities, existing and emerging data models, and the key technologies of dimensional metrology systems. Written for researchers in industry and academia, as well as advanced undergraduate and postgraduate students, this book gives both an overview and an in-depth understanding of complete dimensional metrology systems. By covering in detail the theory and main content, techniques, and methods used in dimensional metrology systems, Information Modeling for Interoperable Dimensional Metrology enables readers to solve real-world dimensional measurement problems in modern dimensional metrology practices.
Information Modelling: A Pragmatic Approach
by Paul Beynon-DaviesThis textbook provides solid guidance on how to produce information models in practice. Information modeling has become increasingly relevant as an approach for understanding the active role that data plays within business and management and promoting the planning of business activities. The text promotes a practical approach to information modelling based around the analysis of communicative practice within delimited domains of organization. The book chapters are designed to be read in sequence. The early chapters build an account of information modelling from the bedrock of a theory of information situations. Later chapters discuss a number of practical issues concerned with the application of this business analysis and design technique. The conclusion demonstrates a larger context for the application and importance of information modelling. Numerous in-text examples of the concepts of information modelling and their application are included throughout the text. A separate chapter is devoted to a range of exercises which the reader can use to test understanding and application of the technique. An appendix with solutions is also provided to support learning. Overall, this textbook provides a step-by-step introduction to information modelling for use in undergraduate and postgraduate modules in information systems, computer science and even digitally focused modules within business and management. No prerequisite knowledge is assumed on the part of the reader. Students and practitioners are tutored in the development of information modelling from first principles. The book covers all the core principles of both entity-relationship diagramming and class diagramming – the two major approaches to information modelling.
Information Nation
by Blair Barclay Kahn RandolphThis fully updated edition demonstrates how businesses can succeed in creating a new culture of information management compliance (IMC) by incorporating an IMC philosophy into a corporate governance structure. Expert advice and insight reveals the proven methodology that adopts the principles, controls, and discipline upon which many corporate compliance programs are built and explains how to apply this methodology to develop and implement IMC programs that anticipate problems and take advantage of opportunities. Plus, you'll learn how to measure information management compliance through the use of auditing and monitoring, following the proper delegation of program roles and components, and creating a culture of information management awareness.
Information Networking in Asia
by Hiroaki Higaki Yoshitaka Shibata Makoto TakizawaThis volume comprises a collection of papers from the 12th international conference on information networking. (ICOIN-12) held in Tokyo 1998. Technical papers on communication networks and distributed systems were presented, along side internet-based electronic commerce network systems, academic research papers, e.g. high-speed communication ATM.
Information Optics and Photonics
by Bahram Javidi Thierry FournelThis book will address the advances, applications, research results, and emerging areas of optics, photonics, computational approaches, nano-photonics, bio-photonics, with applications in information systems. The objectives are to bring together novel approaches, analysis, models, and technologies that enhance sensing, measurement, processing, interpretation, and visualization of information. The book will concentrate on new approaches to information systems, including integration of computational algorithms, bio-inspired models, photonics technologies, information security, bio-photonics, and nano-photonics. Applications include bio-photonics, digitally enhanced sensing and imaging systems, multi-dimensional optical imaging and image processing, bio-inspired imaging, 3D visualization, 3D displays, imaging on nano-scale, quantum optics, super resolution imaging, photonics for biological applications, microscopy, information optics, and holographic information systems.
Information, Photonics and Communication: Proceedings of Second National Conference, IPC 2019 (Lecture Notes in Networks and Systems #79)
by Jyotsna Kumar Mandal Kallol Bhattacharya Ivy Majumdar Surajit MandalThe book includes high-quality papers presented at the Second National Conference of Information, Photonics and Communication (2019), organized by the Department of Electronics & Communication Engineering, B.P. Poddar Institute of Management & Technology from 01 to 03 February 2019. Covering multiple domains in four broad categories—photonics; devices and VLSI; communication systems and networks; signal processing and intelligent systems, it includes topics such as RF and microwave communications, wireless and mobile communication, satellite communications, signal, image and video processing, deep learning and optical networks.
Information Please
by Mark PosterInformation Please advances the ongoing critical project of the media scholar Mark Poster: theorizing the social and cultural effects of electronically mediated information. In this book Poster conceptualizes a new relation of humans to information machines, a relation that avoids privileging either the human or the machine but instead focuses on the structures of their interactions. Synthesizing a broad range of critical theory, he explores how texts, images, and sounds are made different when they are mediated by information machines, how this difference affects individuals as well as social and political formations, and how it creates opportunities for progressive change. Poster's critique develops through a series of lively studies. Analyzing the appearance of Sesame Street's Bert next to Osama Bin Laden in a New York Times news photo, he examines the political repercussions of this Internet "hoax" as well as the unlimited opportunities that Internet technology presents for the appropriation and alteration of information. He considers the implications of open-source licensing agreements, online personas, the sudden rise of and interest in identity theft, peer-to-peer file sharing, and more. Focusing explicitly on theory, he reflects on the limitations of critical concepts developed before the emergence of new media, particularly globally networked digital communications, and he argues that, contrary to the assertions of Michael Hardt and Antonio Negri, new media do not necessarily reproduce neoimperialisms. Urging a rethinking of assumptions ingrained during the dominance of broadcast media, Poster charts new directions for work on politics and digital culture.
Information Politics, Protests, and Human Rights in the Digital Age
by Mahmood MonshipouriWe live in a highly complex and evolving world that requires a fuller and deeper understanding of how modern technological tools, ideas, practices, and institutions interact, and how different societies adjust themselves to emerging realities of the digital age. This book conveys such issues with a fresh perspective and in a systematic and coherent way. While many studies have explained in depth the change in the aftermath of the unrests and uprisings throughout the world, they rarely mentioned the need for constructing new human rights norms and standards. This edited collection provides a balanced conceptual framework to demonstrate not only the power of autonomous communication networks but also their limits and the increasing setbacks they encounter in different contexts.
Information-Powered Engines (Springer Theses)
by Tushar Kanti SahaThis book presents the experimental development of an information-powered engine inspired by the famous thought experiment, Maxwell’s demon, to understand its potential to produce energy for practical purposes. The development of an engine based on Maxwell’s demon was for a long time inconceivable, but technological advances have led to novel investigations into theoretical and practical applications. The built information engine consists of a micron-sized glass bead trapped in a tightly focused laser beam. It rectifies the bead's Brownian motion by controlling the laser's position and generates a unidirectional motion against gravity without doing any work, thus converting thermal heat into stored gravitational potential energy. A theoretical model based on a spring-mass system describes the engine's dynamics and was then used to find optimum parameters to improve the engine's performance. Experimentally implementing these optimization strategies led to engine output powers comparable to those measured in biological motors. This book also highlights performance improvements made in the presence of measurement noise and presents important guiding principles to design information engines to operate in non-equilibrium environments. By focusing on practical applications, the book overall aims to broaden the scope of information-engine investigations.
Information Processing and Accounting Standards: The COVID-19 Pandemic and Its Impact on Accounting Information Systems (Contributions to Finance and Accounting)
by Joseph Olorunfemi Akande Shame Mugova Oluwayemi IbukunOluwa OdularuThis book addresses challenges caused by COVID-19 crisis on financial reporting and information management systems. Information access, transmission and rapid changes in the operating environment revealed inadequacies of international financial reporting standards. Accounting and information are critical elements for business success. While accounting processes financial information and more often guided by standards, information sciences bothers on having access to the right information. Crisis overtime has exposed the weaknesses and/or limitations of these important ingredients of business. The recent pandemic created different challenges and revealed the inadequacies of several accounting and information systems processes. The dynamics of planned business restructuring activities introduced lots of considerations culminated to additional disclosure for business tax purposes. The volume combines perspectives and research from academics and practitioners from the industry on modifying accounting systems and processes to be resilient in and out of crisis. The chapters in the book highlight recommendations to standards and information system improvement.
Information Processing and Management of Uncertainty in Knowledge-Based Systems
by Joao Paulo Carvalho Marie-Jeanne Lesot Uzay Kaymak Susana Vieira Bernadette Bouchon-Meunier Ronald R. YagerThis two volume set (CCIS 610 and 611) constitute the proceedings of the 16th International Conference on Information processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2016, held in Eindhoven, The Netherlands, in June 2016. The 127 revised full papers presented together with four invited talks were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on fuzzy measures and integrals; uncertainty quantification with imprecise probability; textual data processing; belief functions theory and its applications; graphical models; fuzzy implications functions; applications in medicine and bioinformatics; real-world applications; soft computing for image processing; clustering; fuzzy logic, formal concept analysis and rough sets; graded and many-valued modal logics; imperfect databases; multiple criteria decision methods; argumentation and belief revision; databases and information systems; conceptual aspects of data aggregation and complex data fusion; fuzzy sets and fuzzy logic; decision support; comparison measures; machine learning; social data processing; temporal data processing; aggregation.
Information Processing and Management of Uncertainty in Knowledge-Based Systems
by Joao Paulo Carvalho Marie-Jeanne Lesot Uzay Kaymak Susana Vieira Bernadette Bouchon-Meunier Ronald R. YagerThis two volume set (CCIS 610 and 611) constitute the proceedings of the 16th International Conference on Information processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2016, held in Eindhoven, The Netherlands, in June 2016. The 127 revised full papers presented together with four invited talks were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on fuzzy measures and integrals; uncertainty quantification with imprecise probability; textual data processing; belief functions theory and its applications; graphical models; fuzzy implications functions; applications in medicine and bioinformatics; real-world applications; soft computing for image processing; clustering; fuzzy logic, formal concept analysis and rough sets; graded and many-valued modal logics; imperfect databases; multiple criteria decision methods; argumentation and belief revision; databases and information systems; conceptual aspects of data aggregation and complex data fusion; fuzzy sets and fuzzy logic; decision support; comparison measures; machine learning; social data processing; temporal data processing; aggregation.
Information Processing and Management of Uncertainty in Knowledge-Based Systems: 20th International Conference, IPMU 2024, Lisbon, Portugal, July 22-26, 2024, Proceedings, Volume 1 (Lecture Notes in Networks and Systems #1174)
by Marie-Jeanne Lesot Susana Vieira Marek Z. Reformat João Paulo Carvalho Fernando Batista Bernadette Bouchon-Meunier Ronald R. YagerThis book is a collection of papers focused on techniques for managing uncertainty and aggregation. It provides a forum for exchanging ideas between theoreticians and practitioners in these and related areas. The papers are part of the 20th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, which will occur in Lisbon, Portugal, from July 22 to 26, 2024. The collection describes the latest findings on topics such as advances in fuzzy systems and data analysis, optimization, scheduling via modeling uncertainty, explainability, decision-making, implications, data aggregation, and aggregation operators. A special chapter is dedicated to the memory of Michio Sugeno. The book is a valuable resource for practitioners, researchers, and graduate students who want to apply fuzzy-based techniques to real-world data analysis and management processes involving imprecision and uncertainty.
Information Processing and Management of Uncertainty in Knowledge-Based Systems: 18th International Conference, IPMU 2020, Lisbon, Portugal, June 15–19, 2020, Proceedings, Part II (Communications in Computer and Information Science #1238)
by Marie-Jeanne Lesot Susana Vieira Marek Z. Reformat João Paulo Carvalho Anna Wilbik Bernadette Bouchon-Meunier Ronald R. YagerThis three volume set (CCIS 1237-1239) constitutes the proceedings of the 18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2020, in June 2020. The conference was scheduled to take place in Lisbon, Portugal, at University of Lisbon, but due to COVID-19 pandemic it was held virtually. The 173 papers were carefully reviewed and selected from 213 submissions. The papers are organized in topical sections: homage to Enrique Ruspini; invited talks; foundations and mathematics; decision making, preferences and votes; optimization and uncertainty; games; real world applications; knowledge processing and creation; machine learning I; machine learning II; XAI; image processing; temporal data processing; text analysis and processing; fuzzy interval analysis; theoretical and applied aspects of imprecise probabilities; similarities in artificial intelligence; belief function theory and its applications; aggregation: theory and practice; aggregation: pre-aggregation functions and other generalizations of monotonicity; aggregation: aggregation of different data structures; fuzzy methods in data mining and knowledge discovery; computational intelligence for logistics and transportation problems; fuzzy implication functions; soft methods in statistics and data analysis; image understanding and explainable AI; fuzzy and generalized quantifier theory; mathematical methods towards dealing with uncertainty in applied sciences; statistical image processing and analysis, with applications in neuroimaging; interval uncertainty; discrete models and computational intelligence; current techniques to model, process and describe time series; mathematical fuzzy logic and graded reasoning models; formal concept analysis, rough sets, general operators and related topics; computational intelligence methods in information modelling, representation and processing.
Information Processing and Management of Uncertainty in Knowledge-Based Systems: 18th International Conference, IPMU 2020, Lisbon, Portugal, June 15–19, 2020, Proceedings, Part I (Communications in Computer and Information Science #1237)
by Marie-Jeanne Lesot Susana Vieira Marek Z. Reformat João Paulo Carvalho Anna Wilbik Bernadette Bouchon-Meunier Ronald R. YagerThis three volume set (CCIS 1237-1239) constitutes the proceedings of the 18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2020, in June 2020. The conference was scheduled to take place in Lisbon, Portugal, at University of Lisbon, but due to COVID-19 pandemic it was held virtually. The 173 papers were carefully reviewed and selected from 213 submissions. The papers are organized in topical sections: homage to Enrique Ruspini; invited talks; foundations and mathematics; decision making, preferences and votes; optimization and uncertainty; games; real world applications; knowledge processing and creation; machine learning I; machine learning II; XAI; image processing; temporal data processing; text analysis and processing; fuzzy interval analysis; theoretical and applied aspects of imprecise probabilities; similarities in artificial intelligence; belief function theory and its applications; aggregation: theory and practice; aggregation: pre-aggregation functions and other generalizations of monotonicity; aggregation: aggregation of different data structures; fuzzy methods in data mining and knowledge discovery; computational intelligence for logistics and transportation problems; fuzzy implication functions; soft methods in statistics and data analysis; image understanding and explainable AI; fuzzy and generalized quantifier theory; mathematical methods towards dealing with uncertainty in applied sciences; statistical image processing and analysis, with applications in neuroimaging; interval uncertainty; discrete models and computational intelligence; current techniques to model, process and describe time series; mathematical fuzzy logic and graded reasoning models; formal concept analysis, rough sets, general operators and related topics; computational intelligence methods in information modelling, representation and processing.