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Terminal-Changes-Prediction
Terminal-Changes-Prediction Public基于某城市移动终端用户的运营商数据预测未来三月内用户是否会终端变迁(用户从当前使用的手机品牌更换为其他手机品牌)。应用xgboost算法和随机森林算法组合成多学习器预测模型。
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Link-Prediction-Based-on-ML
Link-Prediction-Based-on-ML Public通过研究社交网络,从网络中提取拓扑结构特征,运用机器学习方法进行链路预测,比较了几种机器学习算法的预测精度。
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Opinion-leaders-mining
Opinion-leaders-mining Public本文提出一种基于应答关系来挖掘QQ群中意见领袖的方法,该方法首先构建回应词词库,然后基于Aho-Corasick算法来匹配聊天文本中的回应词数据,构建出用户应答关系的网络结构,最后使用社交网络中重要节点识别的方法来发现意见领袖。该方法对QQ群中的意见领袖发现具有较高的准确率,在融合QQ群用户交互社交网络的节点重要性特征后,能够达到更好的意见领袖发现效果。
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Maximum-Capability-Link-Prediction
Maximum-Capability-Link-Prediction PublicThis page is a companion for our paper on the maximum capability of a topological feature in link prediction, written by Yijun Ran, Xiao-Ke Xu, and Tao Jia.
Python 2
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neural-networks-and-deep-learning
neural-networks-and-deep-learning PublicForked from mnielsen/neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
Python 1
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xgboost
xgboost PublicForked from dmlc/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more
C++
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