By Li Yan, Zongmin Ma
Databases are designed to help info garage, processing, and retrieval actions with regards to info administration. using databases in quite a few purposes has ended in an important wealth of information, which populates many varieties of databases round the world.Advanced Database question platforms: suggestions, purposes and applied sciences makes a speciality of 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 e-book offers the cutting-edge info for lecturers, researchers and practitioners who're drawn to the examine, use, layout and improvement of complex and rising database queries with final objective of establishing abilities for exploiting the possibilities of the information and data society.
Read Online or Download Advanced Database Query Systems: Techniques, Applications and Technologies PDF
Similar storage & retrieval books
The ebook provides an interdisciplinary method of wisdom illustration and the therapy of semantic phenomena of typical language, that's situated among synthetic intelligence, computational linguistics, and cognitive psychology. The proposed strategy is predicated on Multilayered prolonged Semantic Networks (MultiNets), which are used for theoretical investigations into the semantics of traditional language, for cognitive modeling, for describing lexical entries in a computational lexicon, and for common language processing (NLP).
Net mining goals to find helpful info and data from internet links, web page contents, and utilization facts. even if internet mining makes use of many traditional facts mining innovations, it isn't in basic terms an software of conventional facts mining as a result of semi-structured and unstructured nature of the net information.
Semantic versions for Multimedia Database looking out and skimming starts with the creation of multimedia info purposes, the necessity for the improvement of the multimedia database administration structures (MDBMSs), and the real concerns and demanding situations of multimedia platforms. The temporal family, the spatial family members, the spatio-temporal kin, and several other semantic versions for multimedia details platforms also are brought.
This publication collects ECM learn from the tutorial self-discipline of data platforms and similar fields to aid lecturers and practitioners who're drawn to realizing the layout, use and impression of ECM platforms. It additionally offers a precious source for college students and academics within the box. “Enterprise content material administration in info platforms study – Foundations, equipment and situations” consolidates our present wisdom on how today’s firms can deal with their electronic details resources.
- Concepts, Ontologies, and Knowledge Representation
- Storage Networks Explained: Basics and Application of Fibre Channel SAN, NAS, iSCSI,InfiniBand and FCoE
- The VC-1 and H.264 Video Compression Standards for Broadband Video Services (Multimedia Systems and Applications)
- Symbolic Data Analysis and the SODAS Software
- Resilient Storage Networks: Designing Flexible Scalable Data Infrastructures
Additional info for Advanced Database Query Systems: Techniques, Applications and Technologies
Probabilistic ranking of database query results. Proceedings of the 30th International Conference on Very Large Data Base, (pp. 888–899). Chen, Z. , & Li, T. (2007). Addressing diverse user preferences in SQL-Query-Result navigation. Proceedings of the ACM SIGMOD International Conference on Management of Data, (pp. 641-652). , & Young, N. (2005). The reverse greedy algorithm for the metric k-median problem. Information Processing Letters, 97, 68–72. , & Sudarshan, S. (2006). Ordering the attributes of query results.
5-Categorization algorithm does not. Moreover, our algorithm can use a few clusters to representative a large scale tuples without lose accuracy (it will be tested in the next experiment). The results show that using our approach, on average a subject only needs to visit no more than 8 tuples or intermediate nodes for queries Q1, Q2, Q3, and Q4 to find the first relevant tuple, and needs to visit about 18 tuples or intermediate nodes for Q5. The total navigational cost for our algorithm is less than 45 for the former four queries, and is less than 80 for Q5.
Algorithm Solution Based on the solutions mentioned above, we can now describe how we construct a category tree. Since the problem of finding a tree with minimal category cost is NP-hard, we propose an approximate algorithm (see Algorithm 6). After building the category tree, the user can go along with the branches of tree to find the interesting answers. , showing tuples (option ‘ShowTuples’) and showing category (option ‘ShowCat’). When the user chosen the option ‘ShowTuples’ on a node (an intermediate node or a leaf node), the system will provide the items satisfying all conditions from the root to the current node.