Green space quality analysis using machine learning approaches
Green space is any green infrastructure consisting of vegetation. Green space is linked with
improving mental and physical health, providing opportunities for social interactions and …
improving mental and physical health, providing opportunities for social interactions and …
Evaluating the success level of data mining projects based on CRISP-DM methodology by a Fuzzy expert system
A Nadali, EN Kakhky… - 2011 3rd International …, 2011 - ieeexplore.ieee.org
One of the critical issues in data mining process especially for organizations is evaluating
the success level of performed data mining projects. The purpose of this research is …
the success level of performed data mining projects. The purpose of this research is …
[PDF][PDF] Adapting CRISP-DM for social sciences
M Cazacu, E Titan - BRAIN. Broad Research in Artificial Intelligence and …, 2021 - edusoft.ro
The growth of available data in the social sciences led to numerous knowledge discovery
projects being launched over the years. Even if the volume and the speed of data are …
projects being launched over the years. Even if the volume and the speed of data are …
Enhancing value creation of operational management for small to medium manufacturer: A conceptual data-driven analytical system
This paper aims to explore the challenges and opportunities for Small and Medium-sized
Manufacturing Enterprises (SMMEs) in implementing data-driven techniques in their …
Manufacturing Enterprises (SMMEs) in implementing data-driven techniques in their …
Demonstrating the potential of text mining for analyzing school inspection reports: a sentiment analysis of 17,000 Ofsted documents
Many national education systems incorporate a central inspectorate tasked with visiting,
evaluating and reporting on the performance of schools. The judgements produced by …
evaluating and reporting on the performance of schools. The judgements produced by …
Big data in asset management: knowledge discovery in asset data by the means of data mining
Assets are complex mixes of complex systems, built from components which, over time, may
fail. The ability to quickly and efficiently determine the cause of failures and propose …
fail. The ability to quickly and efficiently determine the cause of failures and propose …
[PDF][PDF] Forecasting carbon dioxide emissions in the United States using machine learning
S Namboori - 2020 - norma.ncirl.ie
Climate change has been realized as a major concern worldwide and people along with the
government are coming together to combat this worldwide issue to ensure that our future …
government are coming together to combat this worldwide issue to ensure that our future …
CRISP-DM Method On Indonesian Micro Industries (UMKM) Using K-Means Clustering Algorithm
C Wulandari, Y Anshori… - Matics: Jurnal Ilmu …, 2022 - repository.uin-malang.ac.id
UMKM plays an important role in supporting the economy in Indonesia. As one of the steps
to reduce poverty, the govwordernment should pay more attention to the growth of its UMKM …
to reduce poverty, the govwordernment should pay more attention to the growth of its UMKM …
Data quality assessment in product failure prediction models
A Ferencek, M Kljajić Borštnar - Journal of Decision Systems, 2020 - Taylor & Francis
ABSTRACT A problem of product failure prediction within the warranty period is presented in
a case of a household appliance manufacturer. Predicting product failure within a warranty …
a case of a household appliance manufacturer. Predicting product failure within a warranty …
On the Application of SCRUM in Data Science Projects
N Kraut, F Transchel - 2022 7th International Conference on Big …, 2022 - ieeexplore.ieee.org
The emerging discipline of Data Science poses several challenges for teams conducting
projects in the field as notably, the majority of Data Science teams fail to deliver the expected …
projects in the field as notably, the majority of Data Science teams fail to deliver the expected …