Results 221 to 230 of about 35,828 (278)
Some of the next articles are maybe not open access.
SPRINTER: A Fast n-ary Join Query Processing Method for Complex OLAP Queries
SIGMOD Conference, 2020The concept of OLAP query processing is now being widely adopted in various applications. The number of complex queries containing the joins between non-unique keys (called FK-FK joins) increases in those applications.
Yoon-Min Nam +2 more
semanticscholar +1 more source
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data, 2010
The Sequence OLAP (S-OLAP) system is a novel online analytical processing system for analyzing sequence data. S-OLAP supports "pattern-based" grouping and aggregation on sequence data - a very powerful concept and capability that is not supported by traditional OLAP systems.
Kao, B, Cheung, D, Chui, CK, Lo, E
openaire +3 more sources
The Sequence OLAP (S-OLAP) system is a novel online analytical processing system for analyzing sequence data. S-OLAP supports "pattern-based" grouping and aggregation on sequence data - a very powerful concept and capability that is not supported by traditional OLAP systems.
Kao, B, Cheung, D, Chui, CK, Lo, E
openaire +3 more sources
AnalyticDB: Real-time OLAP Database System at Alibaba Cloud
Proceedings of the VLDB Endowment, 2019With data explosion in scale and variety, OLAP databases play an increasingly important role in serving real-time analysis with low latency (e.g., hundreds of milliseconds), especially when incoming queries are complex and ad hoc in nature.
Chaoqun Zhan +10 more
semanticscholar +1 more source
Hand-OLAP: a system for delivering OLAP services on handheld devices
The Sixth International Symposium on Autonomous Decentralized Systems, 2003. ISADS 2003., 2003-
Cuzzocrea, A. +2 more
openaire +6 more sources
High Performance Distributed OLAP on Property Graphs with Grasper
SIGMOD Conference, 2020Achieving high performance OLAP over large graphs is a challenging problem and has received great attention recently because of its broad spectrum of applications.
Hongzhi Chen +6 more
semanticscholar +1 more source
2016 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), 2016
Online analytical processing is to-days major database technology that has completely changed the face of decision support systems. Many of the enterprise real-time analytical solutions are provided using most advanced OLAP methods. In this paper, we have presented the overview of the various OLAP technologies and their access paths.
C. Shobabindu, K. Dhanasree
openaire +2 more sources
Online analytical processing is to-days major database technology that has completely changed the face of decision support systems. Many of the enterprise real-time analytical solutions are provided using most advanced OLAP methods. In this paper, we have presented the overview of the various OLAP technologies and their access paths.
C. Shobabindu, K. Dhanasree
openaire +2 more sources
, 2010 Online analytical processing (OLAP) is a technique for aggregating data to enable business users to dig into transactional data to solve business problems. You may be familiar with pivot tables from Microsoft Excel or other reporting solutions—for example, taking a list of order details (Figure 1-1) and creating a table that shows the total for each ...
Guy Fouché, Philo Janus
openaire +1 more source
Journal of Clinical Oncology, 2019
TPS5598 Background: Ovarian cancer (OC) is the leading cause of death from gynecologic cancers in US women. Despite high response rates to first-line treatment, ~70% of patients (pts) relapse within 3 years and then remain largely incurable.
P. Harter +18 more
semanticscholar +1 more source
TPS5598 Background: Ovarian cancer (OC) is the leading cause of death from gynecologic cancers in US women. Despite high response rates to first-line treatment, ~70% of patients (pts) relapse within 3 years and then remain largely incurable.
P. Harter +18 more
semanticscholar +1 more source
Annual International Computer Software and Applications Conference, 2020
OLAP is an authoritative analytical tool in the emerging big data analytics context, with particular regards to the target distributed environments (e.g., Clouds).
A. Cuzzocrea, Vincenzo De Maio, E. Fadda
semanticscholar +1 more source
OLAP is an authoritative analytical tool in the emerging big data analytics context, with particular regards to the target distributed environments (e.g., Clouds).
A. Cuzzocrea, Vincenzo De Maio, E. Fadda
semanticscholar +1 more source
A Review on OLAP Technologies Applied to Information Networks
ACM Transactions on Knowledge Discovery from Data, 2019Many real systems produce network data or highly interconnected data, which can be called information networks. These information networks form a critical component in modern information infrastructure, constituting a large graph data volume.
Paulo Orlando Queiroz-Sousa, A. Salgado
semanticscholar +1 more source