《智能系统学报》：大数据与深度学习综述（北京航空航天大学：马世龙、乌尼日其其格、李小平）

《电子治理》阅读材料_大数据时代——生活、工作与思维的大变革（维克托·迈尔·舍恩伯格）

1 Introduction 2 Learning to Hash Isotropic Hashing Supervised Hashing with Latent Factor Models Supervised Multimodal Hashing with SCM Multiple-Bit Quantization 3 Distributed Learning Coupled Group Lasso for Web-Scale CTR Prediction Distributed Power-Law Graph Computing 4 Stochastic Learning Distributed Stochastic ADMM

1 Introduction 2 Learning to Hash Isotropic Hashing Scalable Graph Hashing with Feature Transformation Supervised Hashing with Latent Factor Models Column Sampling based Discrete Supervised Hashing Deep Supervised Hashing with Pairwise Labels Supervised Multimodal Hashing with SCM Multiple-Bit Quantization 3 Distributed Learning Coupled Group Lasso for Web-Scale CTR Prediction Distributed Power-Law Graph Computing 4 Stochastic Learning Fast Asynchronous Parallel Stochastic Gradient Descent Distributed Stochastic ADMM for Matrix Factorization 5 Conclusion

研究结果表明基于铁路工程电子招投标大数据,综合社团结构检测和函数拟合分析两和方法,可以有效识别预警铁路工程投标企业的异常行为

中文科技期刊数据库主要内容 一、维普《中文科技期刊数据库》概述 二、数据库提供的检索方式 三、常用检索技巧 四、检索结果的处理 五、我的数据库 六、数据库中常见问题

同济大学：《大数据分析与数据挖掘 Big Data Analysis and Mining》课程教学资源（PPT课件讲稿）Decision Tree

同济大学：《大数据分析与数据挖掘 Big Data Analysis and Mining》课程教学资源（PPT课件讲稿）Evaluation & other classifiers

◼ Cluster Basics ◼ Clustering algorithms  Hierarchical clustering  k-means  Expectation-Maximization (EM) ◼ Cluster Validity  determining the number of clusters  clustering evaluation

Data Objects and Attribute Types Basic Statistical Descriptions of Data Data Visualization Measuring Data Similarity and Dissimilarity Summary