By Li Yan, Zongmin Ma
Databases are designed to help facts garage, processing, and retrieval actions on the topic of facts administration. using databases in quite a few purposes has ended in a major wealth of knowledge, which populates many sorts of databases round the world.Advanced Database question structures: recommendations, functions and applied sciences makes a speciality of applied sciences and methodologies of database queries, XML and metadata queries, and purposes of database question platforms, aiming at supplying a unmarried account of applied sciences and practices in complicated database question structures. This publication presents the state-of-the-art details for lecturers, researchers and practitioners who're drawn to the learn, use, layout and improvement of complicated and rising database queries with final target of establishing capabilities for exploiting the possibilities of the knowledge and information society.
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Extra info for Advanced Database Query Systems: Techniques, Applications and Technologies
User Preferences: an implicit need of a specific user for liking one thing. Web Database: a non-local autonomous database that is accessible only via a Web from-based interface. 27 28 Chapter 2 Practical Approaches to the Many-Answer Problem Mounir Bechchi LINA-University of Nantes, France Guillaume Raschia LINA-University of Nantes, France Noureddine Mouaddib LINA-University of Nantes, Morocco ABSTRACT Database systems are increasingly used for interactive and exploratory data retrieval. In such retrievals, users’ queries often result in too many answers, so users waste significant time and efforts sifting and sorting through these answers to find the relevant ones.
Note that this query may fail for two different reasons (Motro, 1986): either no employee in R&D department makes less than 15K€ or the company does not have an R&D department. , it is due to the erroneous presupposition that the company has an R&D department). The first system (CO-OPi) with such human behavior was developed by Kaplan (Kaplan, 1983) and was designed for natural language interaction. , the query with some of its conditions relaxed). If even these general queries fail, then the conclusion is that some of the presuppositions of the user who composed the original query are erroneous.
McGraw Hill. Quinlan, J. R. (1986). Induction of decision trees. Machine Learning, 1(1), 81–106. 1007/ BF00116251 Quinlan, J. R. (1993). 5: Programs for machine learning. San Francisco: Morgan Kaufmann Publishers Inc. , & Pavlaki, V. (2005). Towards a context-aware relational model. Proceedings of the International Workshop on Context Representation and Reasoning, Paris, (pp. 101-106). , Huang, T. , & Merhotra, S. (1997). Content-based image retrieval with relevance feedback in MARS. Proceedings of the IEEE International Conference on Image Processing, (pp.
Advanced Database Query Systems: Techniques, Applications and Technologies by Li Yan, Zongmin Ma