Search Results - "Leng, Mingwei"

Active semi-supervised community detection based on must-link and cannot-link constraints by Cheng, Jianjun, Leng, Mingwei, Li, Longjie, Zhou, Hanhai, Chen, Xiaoyun

“…Community structure detection is of great importance because it can help in discovering the relationship between the function and the topology structure of a…”
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Finding Missing Links in Complex Networks: A Multiple-Attribute Decision-Making Method by Wang, Lu, Leng, Mingwei, Bai, Shenshen, Li, Longjie, Chen, Xiaoyun

“…Link prediction, which aims to forecast potential or missing links in a complex network based on currently observed information, has drawn growing attention…”
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Predicting Top- Missing Links: An Improved Local Naïve Bayes Model by Li, Longjie, Xu, Shijin, Leng, Mingwei, Fang, Shiyu, Chen, Xiaoyun

“…The problem of link prediction has captured considerable attention from various disciplines due to its wide range of applications. A multitude of link…”
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Effectively Detecting Communities by Adjusting Initial Structure via Cores by Zhang, Mei, Leng, Mingwei, Wen, Xiaofang, Yang, Zhichong, Chen, Mei, Li, Ming

“…Community detection is helpful to understand useful information in real-world networks by uncovering their natural structures. In this paper, we propose a…”
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S2R&R2S: A framework for ranking vertex and computing vertex-pair similarity simultaneously by Li, Longjie, Ma, Min, Lei, Peng, Leng, Mingwei, Chen, Xiaoyun

“…With the popularity of information networks and their wide range of applications, two fundamental operations in information network analysis, ranking vertices…”
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An improved back propagation neural network based on complexity decomposition technology and modified flower pollination optimization for short-term load forecasting by Pan, Lina, Feng, Xiaosu, Sang, Fawen, Li, Longjie, Leng, Mingwei, Chen, Xiaoyun

“…Accurate short-term load forecasting (STLF) is crucial for reliable operation of a power system. Back propagation neural network (BPNN) is widely used in the…”
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Voting Simulation based Agglomerative Hierarchical Method for Network Community Detection by Cheng, Jianjun, Yin, Xinhong, Li, Qi, Yang, Haijuan, Li, Longjie, Leng, Mingwei, Chen, Xiaoyun

“…Community detection has been paid much attention in many fields in recent years, and a great deal of community-detection methods have been proposed. But the…”
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A new over-sampling technique based on SVM for imbalanced diseases data by Jinjin Wang, Yukai Yao, Hanhai Zhou, Mingwei Leng, Xiaoyun Chen

“…In the real world, there are many kinds of diseases data, whose patients are composed of majority normal persons and only minority abnormal ones. Many…”
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An enhanced k-means algorithm using agglomerative hierarchical clustering strategy by Cheng, Jianjun, Chen, Xiaoyun, Yang, Haijuan, Leng, Mingwei

“…To overcome the drawback that the k-means algorithm is sensitive to the selection of initial centroids, we proposed an enhanced two-stage k-means algorithm. In…”
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Time series representation for anomaly detection by Mingwei Leng, Xinsheng Lai, Guolv Tan, Xiaohui Xu

“…Anomaly detection in time series has attracted a lot of attention in the last decade, and is still a hot topic in time series mining. However, time series are…”
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Variable Length Methods for Detecting Anomaly Patterns in Time Series by Mingwei Leng, Xiaoyun Chen, Longjie Li

“…There has been much interest in mining anomaly patterns in time series. However, different datasets may have different lengths of anomaly patterns, and…”
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Dual Attractive Centers Optimization: A Simple and Efficient Approach for Real Function by Xinsheng Lai, Mingwei Leng, Guolu Tan, Yulin Zhou

“…A new global optimization called dual attractive centers optimization (DACO) for optimizing possibly nonlinear and non-differentiable continuous space function…”
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An Efficient K-means Clustering Algorithm Based on Influence Factors by Mingwei Leng, Haitao Tang, Xiaoyun Chen

“…Clustering has been one of the most widely studied topics in data mining and pattern recognition, k-means clustering has been one of the popular, simple and…”
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A divisive spectral method for network community detection by Cheng, Jianjun, Li, Longjie, Leng, Mingwei, Lu, Weiguo, Yao, Yukai, Chen, Xiaoyun

“…Community detection is a fundamental problem in the domain of complex-network analysis. It has received great attention, and many community detection methods…”
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