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Warm welcome to the 2022 ACM International Conference on Information and Knowledge Management (CIKM 2022)! CIKM is traditionally held once a year at different locations all over the world. However, due to COVID 2019 pandemic, the last two years of CIKM conference were fully virtual. In 2022, it returns to the United States in Atlanta, GA and is held on October 17-21 at Westin Peachtree Plaza hotel in Atlanta Downtown. Although deemed to be a full physical conference, CIKM 2022 live streams all sessions over an Internet-based virtual platform, which enables attendees to attend the conference remotely with two-way live communication, and real-time interactions, the virtual attendees enjoy the full conference experience, making it the very first true hybrid (Physical and Virtual) edition of CIKM conference. CIKM 2022 is the 31st running of the conference, which remains the only conference that focuses on the management of both structured and unstructured data accepting research papers covering database, information retrieval, and knowledge management sub-disciplines of Computer Science. CIKM 2022 also accepts papers covering general areas of data science, and machine learning, covering both foundational work, and applications. CIKM has traditionally emphasized on relevance to industry and government applications; CIKM 2022 continues this tradition and further increases this emphasis by including an Industry Day (a full day event) and multiple Analytic cup competitions. Papers are solicited in four tracks: including full research papers, short research and resource papers, applied research papers and demonstration papers. Besides the presentations and posters of all the accepted papers in the above tracks, the whole conference program includes 7 tutorials, 12 workshops, 4 keynote ta The call for papers attracted submissions from all continents. The table below reports the reviewing and acceptance information. In total we have received 2257 submissions and accepted 621 submissions, with an acceptance rate of 27.51%.
Database management --- Knowledge management --- Neural networks (Computer science)
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In geomorphology, landform inheritance refers to the inherited relationship of different landform morphologies in a certain area during the evolutionary process. This book studies loess landform inheritance based on national basic geographic data and GIS spatial analysis method. It reveals the Loess Plateau formation mechanism and broadens the understanding of spatial variation pattern of loess landform in the Loess Plateau.
Geographical information systems. --- Geomorphology. --- Geographical Information Systems/Cartography. --- Geographical information systems --- GIS (Information systems) --- Information storage and retrieval systems --- Geography --- Geomorphic geology --- Physiography --- Physical geography --- Landforms
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In geomorphology, landform inheritance refers to the inherited relationship of different landform morphologies in a certain area during the evolutionary process. This book studies loess landform inheritance based on national basic geographic data and GIS spatial analysis method. It reveals the Loess Plateau formation mechanism and broadens the understanding of spatial variation pattern of loess landform in the Loess Plateau.
Geodesy. Cartography --- Geology. Earth sciences --- Geography --- geodesie --- GIS (geografisch informatiesysteem) --- geomorfologie
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Geodesy. Cartography --- Geology. Earth sciences --- Geography --- geodesie --- GIS (geografisch informatiesysteem) --- geomorfologie
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This book constitutes the refereed proceedings of the 14th International Symposium on Spatial and Temporal Databases, SSTD 2015, held in Hong Kong, China, in August 2015. The 24 revised full papers together with 8 demos presented were carefully reviewed and selected from 64 submissions. The conference program has the scope on following subjects: reachability query and path query, reverse query and indexing, navigation and routing, trajectory analysis, spatio-temporal approaches, privacy and matching, similarity search and pattern, keyword and pattern.
Computer Science. --- Artificial Intelligence (incl. Robotics). --- Database Management. --- Discrete Mathematics in Computer Science. --- Data Mining and Knowledge Discovery. --- Computer science. --- Computational complexity. --- Database management. --- Data mining. --- Artificial intelligence. --- Informatique --- Complexité de calcul (Informatique) --- Bases de données --- Exploration de données (Informatique) --- Intelligence artificielle --- Gestion --- Computer Science --- Mechanical Engineering - General --- Mechanical Engineering --- Engineering & Applied Sciences --- Computer science --- Mathematics. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Computer mathematics --- Discrete mathematics --- Informatics --- Science --- Mathematics --- Artificial Intelligence. --- Complexity, Computational --- Database management --- Computer science—Mathematics.
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