Fraud detection using self-organizing map visualizing the user profiles

D Olszewski - Knowledge-Based Systems, 2014 - Elsevier
We propose a fraud detection method based on the user accounts visualization and
threshold-type detection. The visualization technique employed in our approach is the Self …

Knowledge discovery and data visualization: Theories and perspectives

K Kasemsap - International Journal of Organizational and Collective …, 2017 - igi-global.com
This article reviews the literature in the search for the theories and perspectives of
knowledge discovery and data visualization. The literature review highlights the overview of …

[HTML][HTML] Machine learning methodology for management of shipbuilding master data

JH Jeong, JH Woo, JG Park - … Journal of Naval Architecture and Ocean …, 2020 - Elsevier
The continuous development of information and communication technologies has resulted
in an exponential increase in data. Consequently, technologies related to data analysis are …

Mining Healthcare Procurement Data Using Text Mining and Natural Language Processing--Reflection From An Industrial Project

Z Zhang, T Jasaitis, R Freeman, R Alfrjani… - arXiv preprint arXiv …, 2023 - arxiv.org
While text mining and NLP research has been established for decades, there remain gaps in
the literature that reports the use of these techniques in building real-world applications. For …

Knowledge extraction and visualization of digital design process

J Yang, E Kim, M Hur, S Cho, M Han, I Seo - Expert Systems with …, 2018 - Elsevier
After digitally designing components of vehicles, a design team creates a virtual
manufacturing environment that resembles actual manufacturing facilities. During this digital …

Context-aware sequence labeling for condition information extraction from historical bridge inspection reports

T Li, M Alipour, DK Harris - Advanced Engineering Informatics, 2021 - Elsevier
Effective upkeep of aging infrastructure systems with limited funding and resources calls for
efficient bridge management systems. Although data-driven models have been extensively …

A deep learning approach to analyse ship inspection reports via natural language processing integrated with artificial neural network

S Biçen, M Celik - Journal of Marine Engineering & Technology, 2024 - Taylor & Francis
Maritime inspection analysis is recently an emerging topic. Practical solutions are sought to
improve the post-inspection process (ie OCIMF SIRE) in tanker operations. This study aims …

Self‐organizing maps for latent semantic analysis of free‐form text in support of public policy analysis

BC Till, J Longo, AR Dobell… - … Reviews: Data Mining …, 2014 - Wiley Online Library
The huge amount of free‐form unstructured text in the blogosphere, its increasing rate of
production, and its shrinking window of relevance, present serious challenges to the public …

A method of predicting service time based on voice of customer data

J Kim, O Kwon - Journal of Information Technology Services, 2016 - koreascience.kr
With the advent of text analytics, VOC (Voice of Customer) data become an important
resource which provides the managers and marketing practitioners with consumer's veiled …

[引用][C] 国际知识发现研究领域核心作者群成熟度分析

张敏, 沈雪乐 - 情报杂志, 2014