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By Antonio Corral, Joaquin Cañadas, Michael Vassilakopoulos (auth.), Yannis Manolopoulos, Skevos Evripidou, Antonis C. Kakas (eds.)

ISBN-10: 3540075445

ISBN-13: 9783540075448

This booklet constitutes the completely refereed post-proceedings of the eighth Panhellenic convention on Informatics, PCI 2001, held in Nicosia, Cyprus in November 2001.

The 31 revised complete papers awarded have been conscientiously chosen and more desirable in the course of months of reviewing from 104 convention papers. The papers hide the parts of databases, facts mining and clever structures, e-learning, human desktop interplay, snapshot processing, networks and platforms, software program and languages, and theoretical computing device science.

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We can sort the new point and the old points of the parent partition by distance. Afterwards, we distribute them equally in the old parent data block (first child) and in a new block (second child) by the proper selection of a new radius ri’. We define ri’ as the half of the sum of the distances that are in the positions BC/2 and BC/2+1 of the sorted list. It is rsi < ri’ < ri and the new partitions Pi and Pi’ are ( Pi = Si (cp, ri ) − Si ' cp, ri ' ' ' ( ' ) ( Pi = S i cp, ri − S s cp, rs i ) i (10) ) (11) The points of the first BC/2 positions correspond to Pi’, whereas Pi accepts the remaining points.

That is why it is expressed in terms of abstract operators (or logical operators), which in turn can be mapped to a number of alternative physical operators that correspond to specific implementations. As can be seen from the figure, the plan is logically divided in two main processing phases: the hierarchical surrogate key processing (HSKP) phase which corresponds to the first processing step mentioned earlier, and the main execution phase (MEP) corresponding to the other two steps. We will briefly describe now the operators appearing in Figure 5: The operator Create Range is responsible for evaluating the restrictions on each dimension table.

Also, the intersection of the server components with the aforementioned models of an OLAP system is depicted. At the back end lies the storage engine (in the so-called storage layer ), which is responsible for the efficient access to the stored data. The cube storage manager used by ERATOSTHENES, is called SISYPHUS [11] and has been implemented on top of the SHORE Storage Manager (SSM)[9]. SISYPHUS includes modules responsible for file management, buffer management, locking management and provides appropriate access methods to the stored data.

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Advances in Informatics: 8th Panhellenic Conference on Informatics, PCI 2001 Nicosia, Cyprus, November 8–10, 2001 Revised Selected Papers by Antonio Corral, Joaquin Cañadas, Michael Vassilakopoulos (auth.), Yannis Manolopoulos, Skevos Evripidou, Antonis C. Kakas (eds.)


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