By Johanna Wenny Rahayu, David Taniar (auth.), Tatyana Yakhno (eds.)

This quantity comprises the court cases of the second one foreign convention on Advances in info platforms (ADVIS) held in Izmir, Turkey, 23–25 October 2002. This convention was once devoted to the reminiscence of Prof. Esen Ozkarahan. He was once a superb researcher who made a vital contribution to the improvement of knowledge platforms. Prof. Ozkarahan used to be one of many pioneers of database computer learn and database structures in Turkey. This convention used to be equipped by means of the pc Engineering division of Dokuz Eylul college in Izmir. This division was once tested in 1994 by way of Prof. Ozkarahan and he labored there for the final ?ve years of his existence. the most objective of the convention was once to collect researchers from everywhere in the global operating in di?erent parts of data platforms, to percentage new rules and current their most modern effects. This time we acquired ninety four submissions from 27 international locations. this system committee chosen forty papers for presentation on the convention. through the convention a workshop was once geared up at the subject “New details applied sciences in Education”. The invited and permitted cont- butions hide a wide number of themes: common facets of knowledge platforms, databases and knowledge warehouses, details retrieval, multiagent platforms and applied sciences, dispensed and parallel computing, evolutionary algorithms and method programming, and new info applied sciences in schooling. The good fortune of the convention was once based upon the exertions of a big variety of humans. We gratefully recognize the contributors of this system C- mittee who helped to coordinate the method of refereeing all submitted papers.

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2d). In both the cases, we have used same size of Hibase dictionary for FastaH and DNAH. The overall size in our approach is the sum of the size off-line dictionary and the coded input string. The size in our approach is two to four times smaller than the Hibase. 7 Conclusion Off-line dictionary compression is becoming more attractive to applications where compressed data are searched directly in compressed form. While there has been large body of related work describing specific database compression algorithms, our approach concentrates on improving compression whilst preserving direct addressability.

The new query is merged into an existing group if the query matches to the group, otherwise a new group is created. In order to make the technique more scalable, time-based and change-based CQs are treated uniformly and partial matching is converted into matching. The advantage of this grouping strategy is that it can be implemented using a general query engine without modification as an additional layer over typical grouping techniques. Our group selection criterion is to select the group that transmits minimum data over the network.

Finally we have compared the size of dictionary in the Hibase approach with our approach (fig. 2d). In both the cases, we have used same size of Hibase dictionary for FastaH and DNAH. The overall size in our approach is the sum of the size off-line dictionary and the coded input string. The size in our approach is two to four times smaller than the Hibase. 7 Conclusion Off-line dictionary compression is becoming more attractive to applications where compressed data are searched directly in compressed form.

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