Search Results - "Mu, Yashuang"

A Pearson’s correlation coefficient based decision tree and its parallel implementation by Mu, Yashuang, Liu, Xiaodong, Wang, Lidong

“…In this paper, a Pearson’s correlation coefficient based decision tree (PCC-Tree) is established and its parallel implementation is developed in the framework…”
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Stochastic Demands Oriented General Resource Scheduling With Burstable Resources by Wei, Wei, Zhang, Yuying, Mu, Yashuang, Yang, Weidong

“…To help cloud customers handle burst demands effectively, the leading cloud platforms provide a new kind of virtual machine instance called burstable instance…”
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Experimental Study and Comparison of Imbalance Ensemble Classifiers with Dynamic Selection Strategy by Zhao, Dongxue, Wang, Xin, Mu, Yashuang, Wang, Lidong

“…Imbalance ensemble classification is one of the most essential and practical strategies for improving decision performance in data analysis. There is a growing…”
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Efficient relation extraction via quantum reinforcement learning by Zhu, Xianchao, Mu, Yashuang, Wang, Xuetao, Zhu, William

“…Most existing relation extraction methods only determine the relation type after identifying all entities, thus not fully modeling the interaction between…”
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A parallel C4.5 decision tree algorithm based on MapReduce by Mu, Yashuang, Liu, Xiaodong, Yang, Zhihao, Liu, Xiaolin

“…Summary In the supervised classification, large training data are very common, and decision trees are widely used. However, as some bottlenecks such as memory…”
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Disparity refinement based on least square support vector machine for stereo matching by zihao, Zhang, xuefeng, Wang, junwei, Yu, yashuang, Mu

“…Disparity refinement is a crucial step in obtaining accurate disparity for stereo matching method. Outlier disparity value still exists in some areas (such as…”
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iPseU-Layer: Identifying RNA Pseudouridine Sites Using Layered Ensemble Model by Mu, Yashuang, Zhang, Ruijun, Wang, Lidong, Liu, Xiaodong

“…Pseudouridine represents one of the most prevalent post-transcriptional RNA modifications. The identification of pseudouridine sites is an essential step…”
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A parallel fuzzy rule discovery algorithm and future goods automated trading system by Zhihao Yang, Xiaodong Liu, Yashuang Mu, Xiaolin Liu

“…Nowadays, with the rapid development of information technology, many business fields gradually usher in the era of big data. Extracting valuable information…”
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Fu-SulfPred: Identification of Protein S-sulfenylation Sites by Fusing Forests via Chou’s General PseAAC by Wang, Lidong, Zhang, Ruijun, Mu, Yashuang

“…•Design a model of identifying protein S-sulfenylation sites with a stratified structure.•Reconstruct datasets for extracting category distribution…”
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TBGMax: leveraging two-boundary graph pattern for lossless maximum-flow acceleration by Wei, Wei, Mu, Yashuang, Yang, Weidong, Xu, Heyang

“…The maximum-flow (max-flow) problem is a classic combinatorial optimization problem that has been used in many kinds of applications.The existing methods…”
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Granular computing-based time series anomaly pattern detection with semantic interpretation by Guo, Hongyue, Mu, Yashuang, Wang, Lidong, Liu, Xiaodong, Pedrycz, Witold

“…Time series analysis may suffer from the “curse of dimensionality” due to its high-dimensionality characteristics. In terms of this issue, information…”
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A Pearson correlation-based adaptive variable grouping method for large-scale multi-objective optimization by Zhang, Maoqing, Li, Wuzhao, Zhang, Liang, Jin, Hao, Mu, Yashuang, Wang, Lei

“…Dividing variables into groups is an intuitive idea for tackling large-scale multi-objective problems. However, regular grouping methods often suffer from the…”
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A parallel fuzzy rule-base based decision tree in the framework of map-reduce by Mu, Yashuang, Liu, Xiaodong, Wang, Lidong, Zhou, Juxiang

“…•A parallel fusing fuzzy rule based classification system (MR-FFRCS) is proposed.•A parallel decision tree (MR-FRBDT) based on the proposed MR-FFRCS is…”
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Minimum Cut Acceleration by Exploiting Tree-Cut Injection for Upper Bound Estimation by Wei, Wei, Gong, Xiaohui, Yang, Weidong, Mu, Yashuang

“…As a basic problem in graph theory, the minimum cut (min-cut) problem has important applications in communication related researches. There are injections from…”
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Efficient stochastic scheduling for highly complex resource placement in edge clouds by Wei, Wei, Wang, Qi, Yang, Weidong, Mu, Yashuang

“…For the edge cloud-based large-scale distributed systems in wide areas, it is important to quickly adjust the deployed resource in multiple edge clouds to…”
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Information granulation-based fuzzy partition in decision tree induction by Mu, Yashuang, Wang, Jiangyong, Wei, Wei, Guo, Hongyue, Wang, Lidong, Liu, Xiaodong

“…In this study, an interval information granulation-based fuzzy partition (InterIG-FP) method is established to define fuzzy items in the framework of fuzzy…”
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A fast rank mutual information based decision tree and its implementation via Map‐Reduce by Mu, Yashuang, Wang, Lidong, Liu, Xiaodong

“…Summary To address the time‐consuming problem for the confirmation of splitting attributes and splitting points in classic rank mutual information based…”
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A dynamic programming-based data-adaptive information granulation approach and its distributed implementation by Mu, Yashuang, Hou, Kai, Zhang, Zihao, Guo, Hongyue, Wang, Lidong, Liu, Xiaodong

“…Information granules are fundamental and effective constructs in human cognitive and decision-making activities. It is unavoidable to automatically describe…”
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An adaptive variance vector-based evolutionary algorithm for large scale multi-objective optimization by Zhang, Maoqing, Li, Wuzhao, Jin, Hao, Zhang, Liang, Mu, Yashuang, Wang, Lei

“…Large scale multi-objective optimization problems often involve hundreds or thousands of decision variables. Regular methods tend to divide decision variables…”
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Research on fuzzy rules extraction of futures trading based on MapReduce by Xiaolin Liu, Xiaodong Liu, Yashuang Mu, Zhihao Yang

“…Due to the limitation of memory, time complexity and data complexity, common fuzzy rule extraction algorithms can only handle small or medium data sets…”
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