Results 61 to 70 of about 27,829 (236)
Technology of separate generation of multidimensional data
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
Applied use of OLAP-technologies in machine learning [PDF]
Metric classification methods and their features, OLAP-cubes advantages, methods of their application in practice are studied. This work discusses the methods of OLAP-technologies applied use in machine learning, their synthesis with metric ...
Ulezla, Dzmitry
core
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
Hierarchical Topic Modeling of Twitter Data for Online Analytical Processing
Social platforms, such as Twitter, reveal much about the tastes of the public. Many studies focus on the content analysis of social platforms, which assists in product promotion and sentiment investigation. On the other hand, online analytical processing
Dongjin Yu +3 more
doaj +1 more source
The democratization of data access and the adoption of OLAP in scenarios requiring hand-free interfaces push towards the creation of smart OLAP interfaces. In this paper, we describe COOL, a framework devised for COnversational OLap applications. COOL interprets and translates a natural language dialog into an OLAP session that starts with a GPSJ ...
Francia M., Gallinucci E., Golfarelli M.
openaire +1 more source
Approximate Query Processing: What is New and Where to Go?
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
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
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
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
Collaborative OLAP with Tag Clouds: Web 2.0 OLAP Formalism and Experimental Evaluation
Increasingly, business projects are ephemeral. New Business Intelligence tools must support ad-lib data sources and quick perusal. Meanwhile, tag clouds are a popular community-driven visualization technique.
Aouiche, Kamel +2 more
core +1 more source

