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Big data --- World Wide Web --- Technological innovations. --- Data sets, Large --- Large data sets --- Data sets --- W3 (World Wide Web) --- Web (World Wide Web) --- World Wide Web (Information retrieval system) --- WWW (World Wide Web) --- Hypertext systems --- Multimedia systems --- Internet
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This book analyzes unexpected preference query results for three problems: causality and responsibility problems, why-not and why questions, and why-few and why-many questions. Further, it refines preference queries and discusses how to modify the original preference query based on different objectives, in order to obtain satisfying results. This highly informative and carefully presented book provides valuable insights for researchers, postgraduates and practitioners with an interest in database usability. .
Computer science. --- Database management. --- Computer Science. --- Database Management. --- Querying (Computer science) --- Database interrogation --- Interrogation of databases --- Database searching --- Reporting (Computer science) --- WHOIS (Computer network protocol) --- 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 --- Electronic data processing
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Incomplete data is part of life and almost all areas of scientific studies. Users tend to skip certain fields when they fill out online forms; participants choose to ignore sensitive questions on surveys; sensors fail, resulting in the loss of certain readings; publicly viewable satellite map services have missing data in many mobile applications; and in privacy-preserving applications, the data is incomplete deliberately in order to preserve the sensitivity of some attribute values. Query processing is a fundamental problem in computer science, and is useful in a variety of applications. In this book, we mostly focus on the query processing over incomplete databases, which involves finding a set of qualified objects from a specified incomplete dataset in order to support a wide spectrum of real-life applications. We first elaborate the three general kinds of methods of handling incomplete data, including (i) discarding the data with missing values, (ii) imputation for the missing values, and (iii) just depending on the observed data values. For the third method type, we introduce the semantics of k-nearest neighbor (kNN) search, skyline query, and top-k dominating query on incomplete data, respectively. In terms of the three representative queries over incomplete data, we investigate some advanced techniques to process incomplete data queries, including indexing, pruning as well as crowdsourcing techniques.
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This book analyzes unexpected preference query results for three problems: causality and responsibility problems, why-not and why questions, and why-few and why-many questions. Further, it refines preference queries and discusses how to modify the original preference query based on different objectives, in order to obtain satisfying results. This highly informative and carefully presented book provides valuable insights for researchers, postgraduates and practitioners with an interest in database usability. .
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This book constitutes revised selected papers from the workshops of the 5th Asia-Pacific Web and Web-Age Information Management International Joint Conference on Web and Big Data, APWeb-WAIM 2021: The Fourth International Workshop on Knowledge Graph Management and Applications, KGMA 2021, The Third International Workshop on Semi-structured Big Data Management and Application, SemiBDMA 2021, and The Second International Workshop on Deep Learning in Large-scale Unstructured Data Analytics, DeepLUDA 2021, held in Guangzhou, China, in August 2021. Due to the COVID-19 pandemic the conference was held online. The 11 papers were thoroughly reviewed and selected from the 28 submissions and present recent research on the theory, design, and implementation of data management systems.
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WAIM is a leading international conference on research, development, and appli- tions of Web technologies, database systems, and information management. Tra- tionally, WAIM has drawn the strongest participation from the Asia-Pacific region. The previous WAIM conferences were held in Shanghai (2000), Xi'an (2001), Beijing (2002), Chengdu (2003), Dalian (2004), Hangzhou (2005), Hong Kong (2006), Huangshan (2007), Zhangjiajie (2008), and Suzhou (2009). In 2010, WAIM was held in Jiuzhaigou, Sichuan, China. This high-quality program would not have been possible without the authors who chose WAIM for disseminating their contributions. Out of 205 submissions from 16 countries and regions, including Australia, Canada, France, Germany, Hong Kong, Japan, Korea, Macau, Malaysia, Mainland China, Saudi Arabia, Singapore, Taiwan, Thailand, UK, and USA, we selected 58 full papers and 11 short papers for publi- tion. The acceptance rate for regular full papers was 28%. The contributed papers addressed a wide range of topics such as Web, XML, and multimedia data, data pr- essing in the cloud or on new hardware, data mining and knowledge discovery, inf- mation integration and extraction, networked data and social networks, graph and stream processing, similarity search, etc. We are also grateful to our distinguished keynote speakers Prof. Jianzhong Li, Dr. Divesh Srivastava, Prof. Katsumi Tanaka, and Prof. Xiaofang Zhou. A conference like WAIM can only succeed as a team effort. We want to thank the Program Committee members and the reviewers for their invaluable efforts.
Information retrieval --- Programming --- Computer architecture. Operating systems --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- applicatiebeheer --- apps --- informatica --- informatiesystemen --- database management --- KI (kunstmatige intelligentie) --- computernetwerken --- architectuur (informatica)
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This book constitutes the refereed proceedings of six workshops of the 14th International Conference on Web-Age Information Management, WAIM 2013, held in Beidaihe, China, June 2013. The 37 revised full papers are organized in topical sections on the six following workshops: The International Workshop on Big Data Management on Emerging Hardware (HardBD 2013), the Second International Workshop on Massive Data Storage and Processing (MDSP 2013), the First International Workshop on Emergency Management in Big Data Age (BigEM 2013), the International Workshop on Trajectory Mining in Social Networks (TMSN 2013), the First International Workshop on Location-based Query Processing in Mobile Environments (LQPM 2013), and the First International Workshop on Big Data Management and Service (BDMS 2013).
Information retrieval --- Complex analysis --- Computer science --- Computer architecture. Operating systems --- Information systems --- Computer. Automation --- IR (information retrieval) --- complexe analyse (wiskunde) --- bedrijfssoftware --- big data --- mobiele netwerken --- computers --- informatiesystemen --- database management --- computernetwerken --- computerkunde --- data acquisition
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Information retrieval --- Programming --- Computer architecture. Operating systems --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- applicatiebeheer --- apps --- informatica --- informatiesystemen --- database management --- KI (kunstmatige intelligentie) --- computernetwerken --- architectuur (informatica)
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