[图书][B] Big data: Algorithms, analytics, and applications
As today's organizations are capturing exponentially larger amounts of data than ever, now
is the time for organizations to rethink how they digest that data. Through advanced …
is the time for organizations to rethink how they digest that data. Through advanced …
Using a time granularity table for gradual granular data aggregation
N Iftikhar, TB Pedersen - Advances in Databases and Information Systems …, 2010 - Springer
The majority of today's systems increasingly require sophisticated data management as they
need to store and to query large amounts of data for analysis and reporting purposes. In …
need to store and to query large amounts of data for analysis and reporting purposes. In …
Relational-based sensor data cleansing
Today sensors are widely used in many monitoring applications. Due to some random
environmental effects and/or sensing failures, the collected sensor data is typically noisy …
environmental effects and/or sensing failures, the collected sensor data is typically noisy …
Approche dirigée par les modèles pour l'implantation et la réduction d'entrepôts de données
F Atigui - 2013 - publications.ut-capitole.fr
Nos travaux se situent dans le cadre des systèmes d'aide à la décision reposant sur un
Entrepôt de Données multidimensionnelles (ED). Un ED est une collection de données …
Entrepôt de Données multidimensionnelles (ED). Un ED est une collection de données …
Automatically aggregating data in database tables
K Bester, AT Chandler, MA Shewell… - US Patent 10,169,404, 2019 - Google Patents
(57) ABSTRACT A method for aggregating data in database tables. A com puter receives a
request to create an aggregation object comprising a set of related tables and aggregation …
request to create an aggregation object comprising a set of related tables and aggregation …
OLAP analysis operators for multi-state data warehouses
Abstract Data reduction in Multidimensional Data Warehouses (MDWs) allows increasing
the efficiency of analysis and facilitating decision-makers' tasks. In this paper, the authors …
the efficiency of analysis and facilitating decision-makers' tasks. In this paper, the authors …
Reducing multidimensional data
Our aim is to elaborate a multidimensional database reduction process which will specify
aggregated schema applicable over a period of time as well as retains useful data for …
aggregated schema applicable over a period of time as well as retains useful data for …
Using a time granularity table for gradual granular data aggregation
N Iftikhar, TB Pedersen - Fundamenta Informaticae, 2014 - content.iospress.com
The majority of today's systems increasingly require sophisticated data management as they
need to store and to query large amounts of data for analysis and reporting purposes. In …
need to store and to query large amounts of data for analysis and reporting purposes. In …
Facilitate effective decision-making by warehousing reduced data: is it feasible?
The authors' aim is to provide a solution for multidimensional data warehouse's reduction
based on analysts' needs which will specify aggregated schema applicable over a period of …
based on analysts' needs which will specify aggregated schema applicable over a period of …
Organic streams: Data aggregation and integration based on individual needs
With the high accessibility of the social media, more and more people have been
accustomed to sharing their personal contents across the social networks, which results in …
accustomed to sharing their personal contents across the social networks, which results in …