Results 71 to 80 of about 35,828 (278)
Data mining techniques application for prediction in OLAP cube
International Journal of Electrical and Computer Engineering (IJECE), 2019 Data warehouses represent collections of data organized to support a process of decision support, and provide an appropriate solution for managing large volumes of data.
Asma Lamani +3 more
semanticscholar +1 more source
The Plant Genome, Volume 17, Issue 2, June 2024.Abstract Ambrosia artemisiifolia and Ambrosia trifida (Asteraceae) are important pest species and the two greatest sources of aeroallergens globally. Here, we took advantage of a hybrid to simplify genome assembly and present chromosome‐level assemblies for both species.
Martin Laforest +6 more
wiley +1 more source
Demeter: An automatic framework for data migration in open data lakes
Software: Practice and Experience, Volume 54, Issue 5, Page 721-743, May 2024.Abstract An open data lake stores various forms and types of open data, and there is an increasing demand to manage raw data in tables rather than files for efficient data exploration and analysis. In this paper, we investigate the data management of open data lakes and recognize the limitations of table migration and related problems. First, open data
Dasol Kim +5 more
wiley +1 more source
Technology of separate generation of multidimensional data
Advanced Engineering Research, 2016 The research subject is the technology of generating the multivariable data representation with using separate formation of dimensions and measures. The purpose of the study is to provide a full level of the user’s work automation at the formation of new
Sergey V. Zykin +2 more
doaj +1 more source
HemaSphere, Volume 8, Issue 3, March 2024.Abstract Breakpoint cluster region‐Abelson (BCR::ABL1) gene fusion is an essential oncogene in both chronic myeloid leukemia (CML) and Philadelphia‐positive (Ph+) B‐cell acute lymphoblastic leukemia (B‐ALL). While tyrosine kinase inhibitors (TKIs) are effective in up to 95% of CML patients, 50% of Ph+ B‐ALL cases do not respond to treatment or relapse.
Lukasz Komorowski +13 more
wiley +1 more source
Approximate Query Processing: What is New and Where to Go?
Data Science and Engineering, 2018 Online analytical processing (OLAP) is a core functionality in database systems. The performance of OLAP is crucial to make online decisions in many applications.
Kaiyu Li, Guoliang Li
doaj +1 more source
, 2016 Online Analytical Processing (OLAP) comprises tools and algorithms that allow querying multidimensional databases. It is based on the multidimensional model, where data can be seen as a cube, where each cell contains one or more measures can be aggregated along dimensions.
KUIJPERS, Bart, VAISMAN, Alejandro
openaire +2 more sources
大数据, 2015 OLAP (online analytical processing) is a key technology of business intelligence based on relational data. In big data era, people want to achieve high performance OLAP using a large cluster of ordinary nodes.
Xiaoyong Du, Yueguo Chen, Xiongpai Qin
doaj
OLAP TECHNOLOGY AS DECISION-MAKING SUPPORT TOOL
Литьë и металлургия, 2017 The present article discloses the basic principles of work with OLAP technologies, shows key features in comparison with traditional systems of the reporting.
D. V. Akushko
doaj +1 more source
A new era of financial services: How AI enhances investment efficiency
International Studies of Economics, Volume 19, Issue 4, Page 578-588, December 2024.
Zhiyi Liu, Kai Zhang, Hongyi Zhang
wiley +1 more source