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[HTML][HTML] A review and characterization of progressive visual analytics
Progressive Visual Analytics (PVA) has gained increasing attention over the past years. It
brings the user into the loop during otherwise long-running and non-transparent …
brings the user into the loop during otherwise long-running and non-transparent …
Approximate query processing: No silver bullet
In this paper, we reflect on the state of the art of Approximate Query Processing. Although
much technical progress has been made in this area of research, we are yet to see its impact …
much technical progress has been made in this area of research, we are yet to see its impact …
Approximate query processing: What is new and where to go? a survey on approximate query processing
Online analytical processing (OLAP) is a core functionality in database systems. The
performance of OLAP is crucial to make online decisions in many applications. However, it is …
performance of OLAP is crucial to make online decisions in many applications. However, it is …
Trill: A high-performance incremental query processor for diverse analytics
This paper introduces Trill--a new query processor for analytics. Trill fulfills a combination of
three requirements for a query processor to serve the diverse big data analytics space:(1) …
three requirements for a query processor to serve the diverse big data analytics space:(1) …
Contextual anomaly detection framework for big sensor data
The ability to detect and process anomalies for Big Data in real-time is a difficult task. The
volume and velocity of the data within many systems makes it difficult for typical algorithms to …
volume and velocity of the data within many systems makes it difficult for typical algorithms to …
A cloud-based framework for Home-diagnosis service over big medical data
Self-caring services are becoming more and more important for our daily life, especially
under the urgent situation of global aging. Big data such as massive historical medical …
under the urgent situation of global aging. Big data such as massive historical medical …
[PDF][PDF] Opportunities and challenges in data analysis using sap: A review of erp software performance
Enterprise Resource Planning (ERP) systems have become the backbone of modern
business operations, serving as a centralized platform for integrating various business …
business operations, serving as a centralized platform for integrating various business …
Gapprox: using gallup approach for approximation in big data processing
Abstract As Big Data processing often takes a long time and needs a lot of resources,
sampling and approximate computing techniques may be used to generate a desired …
sampling and approximate computing techniques may be used to generate a desired …
Efficient sampling for big provenance
Provenance has been studied extensively to explain existing and missing results for many
applications while focusing on scalability and usability challenges. Recently, techniques that …
applications while focusing on scalability and usability challenges. Recently, techniques that …
IOLAP: Managing uncertainty for efficient incremental OLAP
The size of data and the complexity of analytics continue to grow along with the need for
timely and cost-effective analysis. However, the growth of computation power cannot keep …
timely and cost-effective analysis. However, the growth of computation power cannot keep …