Data Mining Techniques and Applications: A Ten-Year Update
N Rahman - … Journal of Strategic Information Technology and …, 2018 - igi-global.com
Data mining has been gaining attention with the complex business environments, as a rapid
increase of data volume and the ubiquitous nature of data in this age of the internet and …
increase of data volume and the ubiquitous nature of data in this age of the internet and …
Identification of changes in VLE stakeholders' behavior over time using frequent patterns mining
Many contemporary studies realized in the Learning Analytics research field provide
substantial insights into the virtual learning environment stakeholders' behaviour on single …
substantial insights into the virtual learning environment stakeholders' behaviour on single …
Efficient data relationship mining using machine learning
W Han, M Adam - US Patent 11,361,004, 2022 - Google Patents
Techniques and solutions are described for determining relationships in data with improved
efficiency, including computing resource use. A plurality of attributes are selected for …
efficiency, including computing resource use. A plurality of attributes are selected for …
Master data-supply chain management, the key lever for collaborative and compliant partnerships in big data era: Marketing/sales case study
SC Gamoura, M Malhotra - Impacts and Challenges of Cloud …, 2021 - igi-global.com
With the advent of big data in supply chain information systems (SCIS), data compliance and
consistency are becoming vital. Today, SC stakeholders need to pay more attention to data …
consistency are becoming vital. Today, SC stakeholders need to pay more attention to data …
STAR: Summarizing Timed Association Rules
Timed association rules (TARs) generalize classical association rules (ARs) so that we can
express temporal dependencies of the form “If X is true at time t, then Y will likely be true at …
express temporal dependencies of the form “If X is true at time t, then Y will likely be true at …
Towards Augmented MDM: Overview of Design and Function Areas–A Literature Review
H Roth, SP Mönch, T Schäffer - 2022 - aisel.aisnet.org
Nowadays, the handling of data is of great importance for companies due to the increasing
amount of data by digitalization. Time-consuming tasks in master data management (MDM) …
amount of data by digitalization. Time-consuming tasks in master data management (MDM) …
[HTML][HTML] Aprendizaje semi-supervisado para descubrir la escala de tiempo promedio de graduación de estudiantes universitarios
J Guanin-Fajardo, J Casillas, W Chiriboga-Casanova - Conrado, 2019 - scielo.sld.cu
Las instituciones de educación superior omiten hasta cierto punto los factores que retrasan
las tasas de promoción de los estudiantes universitarios. El retraso no siempre puede ser …
las tasas de promoción de los estudiantes universitarios. El retraso no siempre puede ser …
APRICOIN: An adaptive approach for prioritizing high-risk containers inspections
Risk evaluation of the containers remains a difficult task, often due to incomplete or
ambiguous information on containers. In addition, the evaluation process needs to be …
ambiguous information on containers. In addition, the evaluation process needs to be …
[PDF][PDF] Master Data-Supply Chain Management, the Key Lever for Collaborative and Compliant Partnerships in Big Data Era
SC Gamoura, M Malhotra - 2021 - academia.edu
With the advent of big data in supply chain information systems (SCIS), data compliance and
consistency are becoming vital. Today, SC stakeholders need to pay more attention to data …
consistency are becoming vital. Today, SC stakeholders need to pay more attention to data …
Automated classification of data types for databases
R Chandrahasan, A Gupta, VN Pavuluri… - US Patent …, 2023 - Google Patents
Techniques for automatically determining different data types found in databases are
disclosed. In one example, a computer implemented method comprises receiving a portion …
disclosed. In one example, a computer implemented method comprises receiving a portion …