.It got approximate density biased samples through scanning data only one time.Our experimental evaluation shows that G_DBS algorithm not only improves the accuracy of clustering,but also is insensitive to noise and has high efficiency.It is one of the effective solutions to mass data mining....
This optimized algorithm describes the new data mining technique based on stratified sampling. The optimized sampling Strategy is explained by using the partitioning based K-means clustering algorithm, which is known as the SSBKM. 展开 年份: 2019 ...
algorithm, we show error rate differences in comparison to leaxning on the entire training set, relative reduced training set size in comparison to the original training set, as well as relative execution time of sampling and data mining in comparison to data mining on the entire training set....
Further details for each step of the proposed GA will be explained in the following sub-sections. Fig. 1 Proposed genetic algorithm workflow illustration (with p1 denoting Parent 1 and p2 denoting Parent 2) Full size image 3.1 Initial population In the context of high-dimensional data, especiall...
thompson_sampling/blob/main/tds_thompson_sampling.ipynb最初步的是ε-Greedy Algorithm，以ε的概率，...
Data-based approaches are more popular in existing literature than approaches that improve a specific classification algorithm for a specific imbalanced dataset. Among the three sampling methods, oversampling is used more frequently than the other two. Undersampling reduces the number of samples, which...
current model to summarize a subset of the data [2, 3]. As such, it is imperative that the initial model for a summarizing clustering algorithm be representative of the data. Alternatively, many people use a p-uniformsample (a sample in which each element has probability p of being selecte...
Finally, RF, SVM, and CatBoost models are used to map landslide susceptibility and verify the stability of the algorithm. Accurate and reliable landslide susceptibility mapping results are obtained. Study area and data Study area Qiaojia County is located in the northeastern part of Yunnan Province,...
These algorithms provide a simpler and faster alternative by using C4.5 and Neural Network as base algorithm. We conduct experiments using ten UCI datasets from various application domains using five algorithms for comparison on five evaluation metrics. Experimental results show that our method has ...
By taking document-level word importance into account in context with the full corpus, the TF-IDF algorithm improves upon the BoW approach. To make frequent words less important and rare terms more significant in the computation, multiply TF and IDF. The analysis of textual data, including ...