Results 201 to 210 of about 13,208 (247)
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Leveraging LightGBM for Categorical Big Data
2021 IEEE Seventh International Conference on Big Data Computing Service and Applications (BigDataService), 2021LightGBM is a popular Gradient Boosted Decision Tree implementation for classification and regression tasks. Our contribution is to answer a research question regarding LightGBM. We would like to know which alternative yields better performance for classifying highly imbalanced Big Data with high-cardinality categorical features: relying entirely on ...
John T. Hancock, Taghi M. Khoshgoftaar
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Sales Forecasting Based on LightGBM
2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE), 2021The combination of data science and machine learning is making sales forecasting possible. This will help improve the competitiveness of retail companies. This paper is based on the LightGBM framework, which is an improved GBDT model to realize Wal-Mart sales fore-casting.
Tingyan Deng +3 more
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Model Fusion of LightGBM and SAKT for Knowledge Tracking
ACM Turing Award Celebration Conference - China ( ACM TURC 2021), 2021Knowledge tracking is to model the student’s learning interaction records so that we can evaluate the student’s learning state with relative accuracy and can adjust the students’ learning schedule appropriately or formulate a more reasonable learning plan. However, this task is very challenging. The challenges are mainly in two aspects. On the one hand,
Xin Zhou, Liming Zhang, Fanqi Meng
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LightGBM Algorithm for Malware Detection
2020In Zero-Day malware challenges, attackers take advantage of every second that the anti-malware vendor delays identifying the attacking malware signature and provide the updates. Furthermore, the longer the detection phase delayed, the greater the damage to the host device.
Mouhammd Al-Kasassbeh 0001 +2 more
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Proceedings of the 2017 International Conference on Computational Biology and Bioinformatics, 2017
miRNAs are small noncoding RNA molecules, mainly responsible for post-transcriptional control of gene expressions. Machine learning is becoming more and more widely used in breast tumor classification and diagnosis. In this paper, we compared the performance of different machine learning methods, such as Random Forest (RF), eXtreme Gradient Boosting ...
Dehua Wang, Yang Zhang 0057, Yi Zhao
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miRNAs are small noncoding RNA molecules, mainly responsible for post-transcriptional control of gene expressions. Machine learning is becoming more and more widely used in breast tumor classification and diagnosis. In this paper, we compared the performance of different machine learning methods, such as Random Forest (RF), eXtreme Gradient Boosting ...
Dehua Wang, Yang Zhang 0057, Yi Zhao
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Gradient Boosting with XGBoost and LightGBM
2021In this chapter, you will discover the gradient boosting model. In the previous chapter, you discovered the idea behind ensemble methods. As a recap, ensemble methods make powerful predictions by combining predictions of numerous small, less performant models.
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Prediction of Gestational Diabetes Based on LightGBM
Proceedings of the 2020 Conference on Artificial Intelligence and Healthcare, 2020Gestational diabetes mellitus (GDM) is associated with an increased risk of both short-term and long-term complications in mothers and infants. However, if lifestyle interventions are initiated at or before the 15th week of pregnancy, the risk of GDM could be reduced by 20% during pregnancy.
Fan Hou +3 more
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The Function Extension Method for SDN Controller Based on LightGBM
2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI), 2019Considering the problem that the SDN controller can not fully resolve the virtual network function during the Software Defined Network (SDN) and Network Function Virtualization (NVF) collaborative deployment in the satellite network, a SDN/NFV coordination based on the three-layer satellite network is designed.
Li Yang +3 more
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LightGBM Scorecard Based on SHAP Values
SSRN Electronic Journal, 2023Yutae Choi, Eunji Cha
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A microservice fault identification method based on LightGBM
2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS), 2022Ning Jing, Han Li, Zhuofeng Zhao
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