Sediment
发表于 2025-3-21 17:14:53
书目名称Soft Computing in Data Science影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0870510<br><br> <br><br>书目名称Soft Computing in Data Science影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0870510<br><br> <br><br>书目名称Soft Computing in Data Science网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0870510<br><br> <br><br>书目名称Soft Computing in Data Science网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0870510<br><br> <br><br>书目名称Soft Computing in Data Science被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0870510<br><br> <br><br>书目名称Soft Computing in Data Science被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0870510<br><br> <br><br>书目名称Soft Computing in Data Science年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0870510<br><br> <br><br>书目名称Soft Computing in Data Science年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0870510<br><br> <br><br>书目名称Soft Computing in Data Science读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0870510<br><br> <br><br>书目名称Soft Computing in Data Science读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0870510<br><br> <br><br>
HEAVY
发表于 2025-3-21 20:49:38
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Arthropathy
发表于 2025-3-22 02:31:11
Thanh van Do,Hai Thanh Nguyen,Nikolov Momchil,Van Thuan Do
哑巴
发表于 2025-3-22 06:33:43
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不发音
发表于 2025-3-22 10:07:39
Comparisons of ADABOOST, KNN, SVM and Logistic Regression in Classification of Imbalanced Dataset%,Testing: 90.2%) and precision (Training:91.9%, Testing 90.5%) for training and testing data set. For random undersampling, no overfitting occurs only for ADABOOST and logistic regression. Logistic regression is the most stable classifier exhibiting consistent training an testing results.
EXPEL
发表于 2025-3-22 14:11:43
Finding Significant Factors on World Ranking of e-Governments by Feature Selection Methods over KPIsnd studied using traditional statistical methods. In this paper, an alternative method by feature selection in data mining is proposed which computes quantitatively the relative importance of each KPI with respective to the predicted class, the rank. The main advantage of feature selection by data m
Condyle
发表于 2025-3-22 18:54:43
Solving Curriculum Based Course Timetabling by Hybridizing Local Search Based Method within Harmony oth operators together. In addition, several harmony memory consideration rates were applied on those setups. The algorithms of all setups were tested on curriculum-based datasets taken from the International Timetabling Competition, ITC2007. The results demonstrated that our approach was able to pr
STANT
发表于 2025-3-23 00:40:21
A Parallel Latent Semantic Indexing (LSI) Algorithm for Malay Hadith Translated Document Retrievalext files. The processing time during the pre-processing phase of the documents for the proposed parallel LSI is measured and compared to the sequential LSI algorithm. Our results show that processing time for pre-processing tasks using our proposed parallel LSI system is faster than sequential syst
MONY
发表于 2025-3-23 02:30:16
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Spongy-Bone
发表于 2025-3-23 05:56:12
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