Results 1 to 10 of about 3,666,634 (374)
Financial innovation at large financial services businesses: Evidence from Eastern Europe [PDF]
Business & IT, 2023 Purpose: Big data analytics is a recently offered state of the art technology with potential business influence. Nevertheless, the roadmap for the effective implementation of its also the street to exploit its essential value remains unclear.
Chih-hung Mien Liu, Xie Ching Kung Meng
doaj +1 more source
Analytics and localized manufacturing: How machine learning can help improve efficiency [PDF]
Business & IT, 2023 Big details (BD) analytics has brought progressive enhancement of the company environment. It offers companies with optimized improvement, personalization, and production in the way output is dispersed.
Georgiana Jane Rebecca
doaj +1 more source
Acknowledgment to the Reviewers of Analytics in 2022
Analytics, 2023 High-quality academic publishing is built on rigorous peer review [...]
Analytics Editorial Office
doaj +1 more source
Iraqi Journal for Computers and Informatics, 2022 Internet-based programs and communication techniques have become widely used and respected in the IT industry recently. A persistent source of "big data," or data that is enormous in volume, diverse in type, and has a complicated multidimensional ...
Wasnaa Kadhim Jawad, Abbas M. Al-Bakry
semanticscholar +1 more source
The use of Big Data Analytics in healthcare
Journal of Big Data, 2022 The introduction of Big Data Analytics (BDA) in healthcare will allow to use new technologies both in treatment of patients and health management. The paper aims at analyzing the possibilities of using Big Data Analytics in healthcare.
Kornelia M. Batko, A. Ślęzak
semanticscholar +1 more source
Neural Factorization Machines for Sparse Predictive Analytics [PDF]
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017 Many predictive tasks of web applications need to model categorical variables, such as user IDs and demographics like genders and occupations. To apply standard machine learning techniques, these categorical predictors are always converted to a set of ...
Xiangnan He, Tat-Seng Chua
semanticscholar +1 more source
The Queen's Guard: A Secure Enforcement of Fine-grained Access Control In Distributed Data Analytics Platforms [PDF]
ACM Transactions on Privacy and Security, 2001 Distributed data analytics platforms (i.e., Apache Spark, Hadoop) provide high-level APIs to programmatically write analytics tasks that are run distributedly in multiple computing nodes.
Fahad Shaon +2 more
semanticscholar +1 more source
FORMATION OF AN ACCOUNTING AND ANALYTICAL SYSTEM FOR MANAGING PRODUCTION STOCKS
Фінансово-кредитні системи: перспективи розвитку., 2023 Inventory management is an important component of effective business operation. However, many companies face problems regarding reliable accounting and rational use of inventories.
Yuliia Peniak +2 more
doaj +1 more source
Big spatial data for urban and environmental sustainability
Geo-spatial Information Science, 2020 Eighty percent of big data are associated with spatial information, and thus are Big Spatial Data (BSD). BSD provides new and great opportunities to rework problems in urban and environmental sustainability with advanced BSD analytics.
Bo Huang, Jionghua Wang
doaj +1 more source
#YardFruits: Twitter as a Tool to Disseminate Horticulture Education during a Pandemic
HortTechnology, 2020 Since late Mar. 2020, many universities halted normal operations due to the Coronavirus Disease 2019 (COVID-19) pandemic. Although extension uses many different techniques to educate consumers, it has been slow to grasp the power of social media.
Eric T. Stafne
doaj +1 more source