Download Advanced Database Query Systems: Techniques, Applications by Li Yan, Zongmin Ma PDF

By Li Yan, Zongmin Ma

Databases are designed to aid facts garage, processing, and retrieval actions relating to facts administration. using databases in a number of functions has led to a major wealth of knowledge, which populates many sorts of databases round the world.Advanced Database question platforms: thoughts, purposes and applied sciences specializes in applied sciences and methodologies of database queries, XML and metadata queries, and functions of database question platforms, aiming at offering a unmarried account of applied sciences and practices in complex database question platforms. This publication presents the state-of-the-art details for teachers, researchers and practitioners who're drawn to the learn, use, layout and improvement of complex and rising database queries with final target of establishing capabilities for exploiting the possibilities of the information and information society.

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Average number of selected houses per subject ActCost = ∑ ∀leaf v visited by a subject (K1N (v ) + K 2 ∑ vi ∈Anc(v ) (| Sib(vi ) | + |Sib(vi )| ∑ j =1 Pst (N (v j )))) j (13) Unlike the category cost in Definition 2, this cost is the real count of intermediate (including siblings) and tuples visited by a subject. e. K1 = K2 = 1. In general the lower the total category cost, the better the categorization method. 5-Categorization, and Greedy algorithm. Figure 4 reports the average number of houses selected by each subject.

Ordering the attributes of query results. Proceedings of the ACM SIGMOD International Conference on Management of Data, (pp. 395-406). Dhillon, I. , & Kumar, R. (2002). Enhanced word clustering for hierarchical text classification. Proceedings of the 8th ACM SIGKDD International Conference, (pp. 191–200). , et al. (2001). Placing search in context: The concept revisited. Proceedings of the 9th International World Wide Web Conference, (pp. 406–414). , & Terzim, E. (2004). Relational link-based ranking.

Next, each subject was given the results of 5 queries listed in Table 2, which do not appear in the query history. For each such query, the subject was asked to go along with the trees generated by the three algorithms mentioned above, and to select 5-10 houses that he would like to buy. Categorization Cost Experiment The experiment aims at comparing the cost of three categorization algorithms and showing the efficiency of our categorization approach. The actual category cost is defined as follows: 20 Automatic Categorization of Web Database Query Results Figure 3.

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