Xueqi Cheng - Böcker
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4 produkter
4 produkter
Intelligence and Security Informatics
Pacific Asia Workshop, PAISI 2007, Chengdu, China, April 11-12, 2007, Proceedings
Häftad, Engelska, 2007
556 kr
Skickas inom 10-15 vardagar
Intelligence and security informatics (ISI) is concerned with the study of the development and use of advanced information technologies and systems for national, international, and societal security-related applications. The annual IEEE International Conference series on ISI was started in 2003 and the first four meetings were held in the United States. In 2006, the Workshop on ISI (http://isi. se. cuhk. edu. hk/2006/) was held in Singapore in conjunction with the Pacific Asia Conference on Knowledge Discovery and Data Mining, with over 100 contributors and participants from all over the world. These past ISI conferences have brought together academic researchers, law enforcement and intelligence experts, information technology consultants, and practitioners to discuss their research and practice related to various ISI topics including ISI data management, data and text mining for ISI applications, terrorism informatics, deception and intent detection, terrorist and criminal social network analysis, public health and bio-security, crime analysis, cyber-infrastructure protection, transportation infrastructure security, policy studies and evaluation, and information assurance, among others. We continued this stream of ISI conferences by organizing the 2007 Pacific Asia Workshop on ISI (PAISI 2007) to especially provide a stimulating forum for ISI researchers in Pacific Asia and other regions of the world to exchange ideas and report research progress. PAISI 2007 was hosted by the Chinese Academy of Sciences, the University of Arizona, and the Chinese University of Hong Kong.
Social Media Processing
6th National Conference, SMP 2017, Beijing, China, September 14-17, 2017, Proceedings
Häftad, Engelska, 2017
540 kr
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This book constitutes the thoroughly refereed proceedings of the 6th National Conference of Social Media Processing, SMP 2017, held in Beijing, China, in September 2017.The 28 revised full papers presented were carefully reviewed and selected from 140 submissions. The papers address issues such as: knowledge discovery for data; natural language processing; text mining and sentiment analysis; social network analysis and social computing.
Big Data
7th CCF Conference, BigData 2019, Wuhan, China, September 26–28, 2019, Proceedings
Häftad, Engelska, 2019
556 kr
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This book constitutes the proceedings of the 7th CCF Conference on Big Data, BigData 2019, held in Wuhan, China, in October 2019. The 30 full papers presented in this volume were carefully reviewed and selected from 324 submissions. They were organized in topical sections as follows: big data modelling and methodology;
- Nyhet
2 793 kr
Kommande
This book merges the frontiers of artificial intelligence and information retrieval. It navigates the intersection of deep learning technology and information retrieval, offering a structured exploration across various chapters. From foundational concepts to advanced neural network architectures, readers are guided through a journey elucidating the symbiotic relationship between deep learning and information retrieval. At its core, this work converges computer science, artificial intelligence, and information retrieval, heralding a paradigm shift in knowledge retrieval methodologies. By harnessing deep learning, the book seeks to augment the precision and efficacy of information retrieval systems, thereby enhancing user experience and advancing the frontier of scholarly inquiry. Through rigorous theoretical exposition and empirical validation, the authors substantiate the efficacy of deep learning in real-world applications, offering readers a compendium of knowledge and practical wisdom.From this book, readers gain insights into the latest research findings and methodologies of deep learning technology in information retrieval. Whether scholars or practitioners, readers are equipped with the tools to navigate the complexities of this interdisciplinary domain. Yet, to fully engage with the material, a foundational understanding of computer science, mathematics, and rudimentary concepts of deep learning and information retrieval is recommended. Through this reading, readers are empowered to navigate the intricacies of information retrieval and deep learning, fostering innovation and advancement in both theory and practice. The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content.