Embark on a captivating exploration of human-centered computing and AI, where the convergence of technology and human interaction unveils a world of endless possibilities. In the age of wireless communication, pervasi...
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ISBN:
(数字)9783031613753
ISBN:
(纸本)9783031613746;9783031613777
Embark on a captivating exploration of human-centered computing and AI, where the convergence of technology and human interaction unveils a world of endless possibilities. In the age of wireless communication, pervasive computing, and the Internet of Things, the synergy between humans and machines has never been more profound. This book delves deep into the heart of this symbiotic relationship, shedding light on the intricate dynamics that define our digital landscape.
From the humble human-computer communications, via simple interaction points, to the complex web of virtual networks, every aspect of this journey is meticulously examined. Through a lens of innovation and insight, we navigate within the complex terrain of user actions, individual differences, and algorithmic computations. At the core of our exploration lies a quest for understanding—a quest that transcends the boundaries of traditional research and ventures into the realm of cutting-edge technology.
Special emphasis is placed on promoting original insights and paradigms, incorporating aspects derived from psychological theory and individual differences in adaptive computational systems and recommenders. Our goal is simple yet ambitious: by enhancing explainability, fairness, transparency, and decreasing bias during interactions, to empower users with greater control and understanding of the technologies that shape their lives.
Through a blend of visual storytelling and specialized textual contributions, we invite you to join us on this extraordinary journey. Whether you're a researcher, practitioner, or enthusiast in the field of AI and human-computer interaction, this book offers valuable insights and perspectives. Prepare to be inspired, enlightened, and empowered through this transformative journey as we unlock the true potential of technology in service of humanity.
Graph pattern mining is essential for deciphering complex networks. In the real world, graphs are dynamic and evolve over time, necessitating updates in mining patterns to reflect these changes. Traditional methods us...
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Graph pattern mining is essential for deciphering complex networks. In the real world, graphs are dynamic and evolve over time, necessitating updates in mining patterns to reflect these changes. Traditional methods use fine-grained incremental computation to avoid full re-mining after each update, which improves speed but often overlooks potential gains from examining inter-update interactions holistically, thus missing out on overall efficiency *** this paper, we introduce Cheetah, a dynamic graph mining system that processes updates in a coarse-grained manner by leveraging exploration domains. These domains exploit the community structure of real-world graphs to uncover data reuse opportunities typically missed by existing approaches. Exploration domains, which encapsulate extensive portions of the graph relevant to updates, allow multiple updates to explore the same regions efficiently. Cheetah dynamically constructs these domains using a management module that identifies and maintains areas of redundancy as the graph changes. By grouping updates within these domains and employing a neighbor-centric expansion strategy, Cheetah minimizes redundant data accesses. Our evaluation of Cheetah across five real-world datasets shows it outperforms current leading systems by an average factor of 2.63 ×.
After a thorough peer-review process, the 17th SOCO 2022 International Program Committee selected 64 papers which are published in these conference proceedings and represent an acceptance rate of 60%. In this relevant...
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ISBN:
(数字)9783031180507
ISBN:
(纸本)9783031180491
After a thorough peer-review process, the 17th SOCO 2022 International Program Committee selected 64 papers which are published in these conference proceedings and represent an acceptance rate of 60%. In this relevant edition, a particular emphasis was put on the organization of special sessions. Seven special sessions were organized related to relevant topics such as machine learning and computer vision in Industry 4.0; time series forecasting in industrial and environmental applications; optimization, modeling, and control by soft computing techniques; soft computing applied to renewable energy systems; preprocessing big data in machine learning; tackling real-world problems with artificial intelligence.
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