Preference Based Spatial Co Location Pattern Mining
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Preference-based Spatial Co-location Pattern Mining
The development of information technology has made it possible to collect large amounts of spatial data on a daily basis. It is of enormous significance when it comes to discovering implicit, non-trivial and potentially valuable information from this spatial data. Spatial co-location patterns reveal the distribution rules of spatial features, which can be valuable for application users. This book provides commercial software developers with proven and effective algorithms for detecting and filtering these implicit patterns, and includes easily implemented pseudocode for all the algorithms. Furthermore, it offers a basis for further research in this promising field. Preference-based co-location pattern mining refers to mining constrained or condensed co-location patterns instead of mining all prevalent co-location patterns. Based on the authors’ recent research, the book highlights techniques for solving a range of problems in this context, including maximal co-location pattern mining, closed co-location pattern mining, top-k co-location pattern mining, non-redundant co-location pattern mining, dominant co-location pattern mining, high utility co-location pattern mining, user-preferred co-location pattern mining, and similarity measures between spatial co-location patterns. Presenting a systematic, mathematical study of preference-based spatial co-location pattern mining, this book can be used both as a textbook for those new to the topic and as a reference resource for experienced professionals.
Big Data and Social Computing
This book constitutes refereed proceedings of the 8th China National Conference on Big Data and Social Computing, BDSC 2023, held in Urumqi, China, from July 15–17, 2023. The 23 full papers and 3 short papers presented in this volume were carefully reviewed and selected from a total of 141 submissions. The papers in the volume are organized according to the following topical headings: Digital Technology and Sustainable Development; Social Network and Group Behavior; Digital infrastructure and the Intelligent Society; Digital Society and Public Security; Artificial Intelligence and Cognitive Science; and Internet Intelligent Algorithm Governance.
Web Information Systems Engineering – WISE 2024 PhD Symposium, Demos and Workshops
This book constitutes the proceedings of the PhD Symposium, Demos and Workshops* from the 25th International Conference on Web Information Systems Engineering, WISE 2024, held in Doha, Qatar during December 2-5, 2024. The 18 full papers, 9 short papers, 9 demos and posters presented here were carefully reviewed and selected from a total of 75 submissions. These papers cover various areas of web security and privacy, web data management, web architectures and technologies, social networks, and queries. * This volume includes the proceedings from the WEB-for-GOOD 2024 workshop, AIWDA 2024 workshop and SWIFT-AG 2024 workshop.