图表达相关书书籍调研
調研內容來自淘寶和亞馬遜
下面一部分是純理論的:
<Knowledge Graph and Semantic Computing,Language, Knowledge, and Intelligence>(純理論)
<Knowledge Graph and Semantic Computing,Semantic,Knowledge and Linked Big Data>(純理論)
<Graph Structures for Knowledge Representation and Reasoning>(純理論)
<Exploiting Linked Data and Knowledge Graphs in Large Organisations>(純理論)
<Knowledge Graphs and Language Technology>(純理論)
<Graph-Based Clustering and Data Visualization Algorithms>(純理論)
<Reasoning Web: Logical Foundation of Knowledge Graph Construction and Query Answering>(純理論)
<Graph Drawing and Applications for Software and Knowledge Engineers>(純理論分析)
<Graph Mining: Laws, Tools, and Case Studies>(以網頁信息為主的圖分析,可以不看,沒意義)
下面一部分是實驗和理論并重的:
<Graph-Based Social Media Analysis>(應該是側重實驗的)☆☆☆
<Practical Graph Mining with R>(有電子書,但是沒有大型實驗)☆☆☆
<Spark GraphX實戰> scala語言☆☆☆
<圖數據管理與挖掘>(有小型實驗)
<Graph-Based Knowledge Representation>(有電子書,但是沒有大型實驗)
<Python for Graph and Network Analysis>(有電子書,但是沒有大型實驗)☆☆☆
總結
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