By Tutut Herawan, Iwan Tri Riyadi Yanto, Mustafa Mat Deris (auth.), Ngoc Thanh Nguyen, Radosław Katarzyniak, Shyi-Ming Chen (eds.)
The booklet contains 32 prolonged chapters that have been in keeping with chosen submissions to the poster consultation prepared through the second Asian convention on clever info and Database platforms (24-26 March 2010 in Hue, Vietnam). The booklet is geared up into 4 elements dedicated to info retrieval and administration, carrier composition and user-centered technique, information mining and data extraction, and computational intelligence, respectively. All chapters within the booklet speak about theoretical and useful matters concerning integration of man-made intelligence and database applied sciences to be able to strengthen new sessions of clever info platforms. Such mixture of man-made intelligence and database applied sciences is a quick turning out to be subfield of contemporary machine technology, vital as a result of consistent improvement of networked info platforms. New international multimedia platforms utilized by heterogeneous populations demand those advancements. The editors wish that the ebook will be important for graduate and PhD scholars of computing device technological know-how, in addition to for mature teachers, researchers and practitioners drawn to potent software of synthetic intelligence and database structures to fashionable details environments. it's the desire of the editors that readers of this quantity can locate many inspiring principles and influential useful examples and use them of their destiny work.
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Additional info for Advances in intelligent information and database systems
We reduced the number of page writes from 1 to 4% in some hours of database activity. – Finding places where creating a functional index should be preferable. ) in many queries in WHERE clause. In many cases the query optimiser cannot use the index in such queries. To fix the problem we must rewrite the query and/or change the application or use the functional index or indexed 26 P. Lenkiewicz and K. Stencel computed columns. In some queries it allowed us to reduce the number of full scan type reads and speed up the queries significantly.
The mapping could be automatically done with high accuracy using the method proposed in . Table1 gives some examples on mapping interrogative words to entity types, which are dependent on a query context. com/kim/ Ontology-Based Query Expansion with Latently Related Named Entities 45 Table 1. Mapping interrogative words to entity types Interrogative Word Who Which Where What NE Class Example Query Person Who was the first American in space? Woman Who was the lead actress in the movie "Sleepless in Seattle"?
There were also tables, which were classified incorrectly because of uncharacteristic queries in period of time, when the trace was collected. 5 Achieved Improvements Proposed method will be very good for large, intensively used and developed databases, in which manual, unsystematic methods of database tuning will not be successful. The big advantage of the method is that tuning recommendations can be obtained relatively fast, without large administrative work. It is also possible to use the method incrementally, by adding to the histogram results of analysis of traces taken later.