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By Tutut Herawan, Iwan Tri Riyadi Yanto, Mustafa Mat Deris (auth.), Ngoc Thanh Nguyen, Radosław Katarzyniak, Shyi-Ming Chen (eds.)

ISBN-10: 364212089X

ISBN-13: 9783642120893

The booklet comprises 32 prolonged chapters that have been in accordance with chosen submissions to the poster consultation equipped in the course of the 2d Asian convention on clever info and Database structures (24-26 March 2010 in Hue, Vietnam). The e-book is prepared into 4 components dedicated to details retrieval and administration, carrier composition and user-centered method, info mining and data extraction, and computational intelligence, respectively. All chapters within the ebook speak about theoretical and functional matters on the topic of integration of man-made intelligence and database applied sciences for you to boost new periods of clever info platforms. Such blend of man-made intelligence and database applied sciences is a quick growing to be subfield of recent laptop technology, vital because of the consistent improvement of networked info structures. New worldwide multimedia platforms utilized by heterogeneous populations demand those advancements. The editors desire that the publication may be priceless for graduate and PhD scholars of laptop technological know-how, in addition to for mature teachers, researchers and practitioners drawn to potent program of man-made intelligence and database structures to trendy info environments. it's the wish of the editors that readers of this quantity can locate many inspiring rules and influential useful examples and use them of their destiny work.

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The case studies included in the paper proved that the proposed method is proficient as it allowed improving studied database applications significantly. The tuning process performed in our case studies was partly manual with some automated tool support. However, vast majority of the activities performed were easy to mechanise. Future work will encompass efforts to automate the advocated approach as a new kind of database tuning advisors. References 1. : Quiet: Continuous query-driven index tuning.

M. H. Cao Table 4. A. 5 Fig. 4. A. ”, Semantic Search maps the relation phrase where is to the relation locatedIn, and Ontology_2 has the fact (South_Bend locatedIn Indiana). However, all of the relevant documents of the query only contain Ind rather than Indiana. Although, Ind is an alias of Indiana, Ontology_1 does not include it. Therefore, when adding Indiana into the query, it makes Semantic Search perform worse than NE+KW. 5 Conclusion and Future Works We have presented the generalized VSM that exploits ontological features for semantic text search.

The next goal is to schedule the preparation of materialized views, which will help to generate the reports during the day. We have identified a few reports which could be a good target for such optimisation and moved parts or entire of its preparation to the night. It improved the system response time during the peak hours of system activity and shortened the time needed for preparations of some reports. – Faulty written application. We have found a lot of places, where the application reads large amounts of data unnecessarily (including the worse situation: all records from the table).

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Advances in intelligent information and database systems by Tutut Herawan, Iwan Tri Riyadi Yanto, Mustafa Mat Deris (auth.), Ngoc Thanh Nguyen, Radosław Katarzyniak, Shyi-Ming Chen (eds.)

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