Results 31 to 40 of about 2,134,531 (182)

Data Engineering for the Analysis of Semiconductor Manufacturing Data [PDF]

, 1995
We have analyzed manufacturing data from several different semiconductor manufacturing plants, using decision tree induction software called Q-YIELD. The software generates rules for predicting when a given product should be rejected.
Turney, Peter
core   +2 more sources

Multiple perspectives HMM-based feature engineering for credit card fraud detection

, 2019
Machine learning and data mining techniques have been used extensively in order to detect credit card frauds. However, most studies consider credit card transactions as isolated events and not as a sequence of transactions.
Caelen, Olivier, Calabretto, Sylvie, Granitzer, Michael, He-Guelton, Liyun, Laporte, Léa, Lucas, Yvan, Portier, Pierre-Edouard   +6 more
core   +1 more source

Feature Engineering For A Cross-process Quality Prediction Of An End-of-line Hydraulic Leakage Test Using An Experiment Sample

Proceedings of the Conference on Production Systems and Logistics, 2021
The increasing availability of manufacturing data and advanced analysis tools are forcing the demand for data-driven approaches to improve the quality of workpieces and the efficiency of manufacturing processes. The analysis of real manufacturing data is
Neunzig, Christian, Fahle, Simon, Kuhlenkötter, Bernd, Möller, Matthias, Herberger, David, Hübner, Marco   +5 more
doaj   +1 more source

Variability Management Mechanism for Domain Engineering and Case Study in SunRoof Control Domain

Tehnički Glasnik
This study aims to suggest variability mechanisms for software product line development and to explain the results of case study. Software product line engineering is an extension of software engineering and many organizations constantly engage in ...
Jeong Ah Kim
doaj   +1 more source

Benchmarking automated feature engineering in oxidative coupling of methane and the impact of domain knowledge

Results in Chemistry
In materials informatics, feature engineering is an essential process that improves model accuracy and model interpretability. In this study, efficient methods for feature engineering were investigated. Existing libraries (TPOT, autofeat, Feature-engine,
Jun Maki, Hiromasa Kaneko
doaj   +1 more source

Non-destructive assessment of soluble solids content in kiwifruit using hyperspectral imaging coupled with feature engineering

Frontiers in Plant Science
The maturity of kiwifruit is widely gauged by its soluble solids content (SSC), with accurate assessment being essential to guarantee the fruit’s quality.
Wei Xu, Wei Xu, Liangzhuang Wei, Wei Cheng, Xiangwei Yi, Yandan Lin, Yandan Lin, Yandan Lin   +7 more
doaj   +1 more source

PubMed in progress: latest changes in MeSH and MyNCBI [PDF]

, 2011
PubMed interface re-engineering has moved further steps with the latest changes in the MeSH – Medical Subject Headings database and in the MyNCBI homepage.
Giglia, Elena
core  

Assessing the Complexity of a Recovered Design and its Potential Redesign Alternatives [PDF]

, 2009
Organised by: Cranfield UniversityReverse engineering techniques are applied to generate a part model where there is no existing documentation or it is no longer up to date.
ElMaraghy, W. H., Urbanic, R. J.
core  

Toward Optimal Feature Selection in Naive Bayes for Text Categorization

, 2016
Automated feature selection is important for text categorization to reduce the feature size and to speed up the learning process of classifiers. In this paper, we present a novel and efficient feature selection framework based on the Information Theory ...
He, Haibo, Kay, Steven, Tang, Bo
core   +1 more source

Dynamic Feature Engineering for Adaptive Fraud Detection

Engineering Proceedings
In today’s digital economy, electronic payments are essential to supporting financial transactions. However, the danger of fraud also rises with company complexity and volume.
Ajay Sharma, Shamneesh Sharma, Arun Malik, Rajeev Sobti, Anang Suryana   +4 more
doaj   +1 more source