Titlebook: Advances in Database Technology - EDBT ‘98; 6th International Co Hans-J?rg Schek,Gustavo Alonso,Isidro Ramos Conference proceedings 1998 Sp

Subdue

Sally A. Amundson,Albert J. Fornace Jr.ssing of fusion queries. First, we focus on a very wide class of query plans that capture the spirit of many techniques usually considered in existing systems. We show how to efficiently find good query plans within this large class. We provide additional heuristics that, by considering plans outsid

CLIFF

Methods to Induce Cell Cycle Checkpointsuerying these views efficiently requires new techniques. Data usually resides at a remote site and is organized as a set of related HTML documents, with network access being a primary cost factor in query evaluation. This cost can be reduced by exploiting the redundancy often found in site design. W

執(zhí)

Claudia Tapia-Alveal,Matthew J. O’Connellndard for data exchange, i.e., a standard schema and its semantics. However, sharing this data among a global community of users is still difficult because of a lack of standards for the following necessary functions: (i) data providers need a standard for describing or publishing available sources

大溝

Etching

Enrage

Jongkuen Lee,David Dominguez-Solaering, classification and summarization. Attribute-oriented generalization is a common method for the task of summarization. Typically, in a data warehouse update operations are collected and applied to the data warehouse periodically. Then, all derived information has to be updated as well. Due to

Obsequious

不自然

A. Bürgin,C. Bouchard,M. Eilersstems support hypothesis-driven exploration of data cubes through operations such as drill-down, roll-up, and selection. Using these operations, an analyst navigates unaided through a huge search space looking at large number of values to spot exceptions. We propose a new discovery-driven exploratio

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cylinder

Regulation of CDKs by phosphorylation,ore, several researchers have proposed algorithms to compute optimal processing trees for queries with expensive predicates. All these approaches are incorrect—with one exception [3]. Our contribution is as follows. We present a formally derived and correct dynamic programming algorithm to compute o