Web10 mag 2024 · Motivation of High-D OLAP Challenge to current cubing methods: The “curse of dimensionality’’ problem Iceberg cube and compressed cubes: only delay the … WebFlexible analysis can be efficiently performed based on the concept of observation layer and minimal interesting layer . Third, an efficient stream data cubing algorithm is developed which computes only the layers (cuboids) along a popular path and leaves the other cuboids for query-driven, on-line computation.

High-Dimensional OLAP: A Minimal Cubing Approach

Web31 dic 2004 · Data analysis tasks may involve a high dimensional space, but most OLAP operations are performed only on a small number of dimensions at a time. Using inverted … WebAmong these categories, we believe that the first one, efficient computation of full or iceberg cubes, plays a ke... High-Dimensional OLAP: A Minimal Cubing Approach by Xiaolei Li, Jiawei Han, Hector Gonzalez - Proceedings of 2004 International Conference on Very Large Data Bases (VLDB’04, 2004 blackjack addiction

A Method for Fast Querying and Analysis - Studocu

WebThe pre-computation of data cubes is critical for improving the response time of OLAP systems and accelerating data mining tasks in large data warehouses. However, as the … Web9 lug 2004 · High-Dimensional OLAP: A Minimal Cubing Approach Xiaolei Li Jiawei Han Hector Gonzalez Request PDF Home Database Management Computer Science Databases Data Warehouse High-Dimensional OLAP: A... Web1 set 1997 · A data cube is a popular organization for summary data. A cube is simply a multidimensional structure that contains at each point an aggregate value, i.e., the result of applying an aggregate function to an underlying relation. In practical situations, cubes can require a large amount of storage. gandalf artwork