Multiresolution Data Aggregation and Analytical Exploration of Large Data Sets
نویسندگان
چکیده
Analytical processing of large relation data demands for a shared compact representation of data in multiple resolutions in order to efficiently facilitate the incurring data aggregation, data cube, and range queries. This paper addresses technical problems of multi-resolution data aggregation and investigates enabling technologies for efficient analytical processing of large data sets. In particular, the paper discusses visualization and data access techniques for interactive exploration of large data sets.
منابع مشابه
Divisive Parallel Clustering for Multiresolution Analysis
Clustering is a classical data analysis technique that is applied to a wide range of applications in the sciences and engineering. For very large data sets, the performance of a clustering algorithm becomes critical. Although clustering has been thoroughly studied over the last decades, little has been done on utilizing modern multi-processor machines to accelerate the analysis process. We prop...
متن کاملScalable Visual Data Exploration of Large Data Sets via MultiResolution
During the last decade Visual Exploration and Visual Data Mining techniques have proven to be of high value in exploratory data analysis since they combine human visual perception and recognition capabilities with the enormous storage capacity and the computational power of today’s computer systems in order to detect patterns and trends in the data. But the ever increasing mass of information l...
متن کاملA Data Model for Multiresolution Scientific Data Environments
1. Introduction Modern dataset sizes present major obstacles to understanding and interpreting the significant underlying phenomena represented in the data. There is a critical need to support scientists in the process of interactive exploration of these very large data sets. The goal of this exploration is to use coarse representations of broad views of the data set for purposes of identifying...
متن کاملSpatial Online Sampling and Aggregation
The massive adoption of smart phones and other mobile devices has generated humongous amount of spatial and spatio-temporal data. The importance of spatial analytics and aggregation is everincreasing. An important challenge is to support interactive exploration over such data. However, spatial analytics and aggregation using all data points that satisfy a query condition is expensive, especiall...
متن کاملA Data Model for Distributed Multiresolution Multisource Scientific Data
Modern dataset sizes present major obstacles to understanding and interpreting the significant underlying phenomena represented in the data. There is a critical need to support scientists in the process of interactive exploration of these very large data sets. Using multiple resolutions of the data set (multiresolution), the scientist can identify potentially interesting regions with a coarse o...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2007