PPT-Introduction to Graph Databases

Graphs not charts Motivating example Courtesy of Informal Networks The Company Behind the Chart Krackhardt and Hanson Harvard Business Review 1993 Alternative Advice network Alternative trust network. Lindsay Mullen. (Abstract) Algebra and Number Theory. Combinatorics. (Discrete Mathematics). Graph Theory. Graph Coloring. What is Graph Theory?. Branch . of . mathematics . concerned with networks of points connected by . Tour of the major . molecular biology databases. A database is an . indexed. . collection. of information. There is a tremendous amount of information about biomolecules in publicly available databases. . Hao Wei. 1. , . Jeffrey Xu Yu. 1. , Can L. u. 1. , . Xuemin. Lin. 2. . 1 . The . Chinese University of Hong Kong, Hong Kong. 2 . The . University of New South Wales. , . Sydney, Australia. Graph in Big Data . a Multi-Layered Indexing Approach. Yongjiang Liang, . Peixiang Zhao. CS @ FSU. zhao@cs.fsu.edu. Outline. Introduction. State-of-the-art solutions. ML-Index & similarity search. Experiments. Conclusion. library resources. Finding Books. Destiny. Via the Internet. Go to . lolhslibrary.weebly.com. Click on . Find Materials. Type in your keywords within the search box. Via the app. Download Destiny Quest . Unit Contents. Section A: Database Basics. Section B: Database Tools. Section C: Database Design. Section D: SQL. Section E: Big Data. Unit 10: Databases. 2. Section A: Database Basics . Operational and Analytical Databases. Section A: Database Basics. Section B: Database Tools. Section C: Database Design. Section D: SQL. Section E: Big Data. Unit 10: Databases. 2. Section A: Database Basics . Operational and Analytical Databases. Cluster Analysis. Outline. Introduction to Cluster Analysis. Types of Graph Cluster Analysis. Algorithms for Graph Clustering. k-Spanning Tree. Shared Nearest Neighbor. Betweenness Centrality Based. Highly Connected Components. ~Max Frisch. (Swiss playwright, novelist, philosopher, social critic). Contents. Citing Databases. General Info. MLA. APA. Visuals—Internal Citations. MLA. APA. Visuals—Bibliographic Citations. MLA. 17. Victor Matos. Cleveland State University. Notes are based on: . Android Developers . http://developer.android.com/index.html. 2. 17. Android – SQL Databases. Distance matrices are graphs .  as useful as any other clustering. Identification of communities in social networks. Webpage clustering for better data management of web data. Outline. Min s-t cut problem. Adjacency List. Adjacency-Matrix. Pointers/memory for each node (actually a form of adjacency list). Adjacency List. List of pointers for each vertex. Undirected Adjacency List. Adjacency List. The sum of the lengths of the adjacency lists is 2|E| in an undirected graph, and |E| in a directed graph.. UNIT IV. DATABASE. A database is a . computarised. library used to store and organize data in such a way that information can be retrieved easily via a variety of search criteria.. The development of databases to handle the vast amount of molecular biological data is a fundamental task of bioinformatics.. era. The rise of bioinformatics. An information explosion!. Bioinformatics. Computational tools are developed to collect, organize and analyze a wide variety of biological data. Advances in DNA sequencing technologies have accelerated the pace of discovery. Much of the process is now automated. .