Course Topics Graph Theory Introduction, Graph Mining Introduction, Network Properties, Random Graphs, Small World Graphs, Node Importance, Node Similarity, Clustering & Community Detection, Link Prediction, Anomaly detection, Time Evolving Graphs, Influence/Virus Propagation, Graph Mining Use Cases, Big Data Graph Databases, Big Data Graph ProcessingLast modified: Wednesday, 23 October 2019, 12:44 PM Shop Online: https://www.ShopForSoul.com/ 8112223 Canada Inc./JustEtc: http://JustEtc.net Linkedin: https://ca.linkedin.com/in/sayedjustetc Courses: http://Training.SitesTree.com (Big Data, Cloud, Security, Machine Learning) Blog: http://Bangla.SaLearningSchool.com, http://SitesTree.com Medium: https://medium.com/@SayedAhmedCanada
Category: Graph Mining
Graph Mining
Mar 21
Graph Mining: Job Prospect
Job Prospect for Graph Mining Industry Job Prospect for Graph Mining Sample Jobs https://www.careerbuilder.com/jobs-graph-mining https://www.indeed.com/q-Graph-Mining-jobs.html For example, Google works in the following areas of Graph Mining. Google has jobs for such. Also, Facebook and any other social networking site will have jobs in relation to Graph Mining. Computational Biology, Medicine Research, Drug Discovery, Disease Diagnosis, …
Mar 21
Course Introduction
Misc AnnouncementsForum Course: This course relates to Big Data, Data Science, and Graph Mining. This can be thought of as a 4th year course or an MSc level course in Computer Science, Data Science or related departments. The course is under development, and will also be developed continuously. We had an online session to introduce the course on …
Oct 14
Graph Mining: Highly Connected Subgraph Clustering: Learn by finding answers to the following questions.
Graph Mining: Highly Connected Subgraph Clustering: Learn by finding answers to the following questions. How do you define: Highly Connected? What is a Cluster? What is Subgraph? Does connectivity indicate the number of edges between clusters? True or false: Highly connected clustering means: within a cluster, connectivity will be low. Across clusters, connectivity will be …
Oct 13
Graph Mining: Louvian Modularity: Learn by finding answers to the following questions. Can you answer the following questions?
Graph Mining: Louvian/Louvain Modularity: Learn by finding answers to the following questions. Can you answer the following questions? I have seen both: Louvian Modularity and Louvain Modularity. I will use Louvain Modularity What is the primary problem that Louvain Modularity solved? Is Louvain good at detecting small communities? What is modularity in Graphs? What is …
Oct 12
Graph Mining: Hits. Learn by finding Answers to the Following Questions. Can you answer the following questions?
Graph Mining: Hits. Learn by finding Answers to the Following Questions. What is HITS algorithm in Graph Mining esp. for Web? What does HITS stand for? What is another similar Algorithm? What are different between the PageRank algorithm and HITS? What is the PageRank algorithm? What is the purpose? Where and how PageRank is used? …
Oct 10
Graph Mining: Introducing Graphs: Learn by finding answers to the following questions?
Graph Mining: Introducing Graphs: Learn by finding answers to the following questions? Questions What is a Graph? Give an example of a Graph? What are the different Types of Graphs? i.e. Try to give some examples of different ways how Graphs are classified? What is a directed Graph? What is an undirected Graph? What are …
Oct 09
Graph Mining: What is Graph Mining? Learn by finding answers to the following questions. Can you answer the following questions?
Graph Mining: What is Graph Mining? Learn by finding answers to the following questions. Can you answer the following questions? What is Graph Mining? What is a Graph anyway? Is Graph mining just a kind of Machine Learning? i.e. is Machine Learning the only primary component of Graph Mining? Does Graph Mining involve Only Statistics? …
Oct 08
Graph Mining: K-Spanning Trees: Learn by finding answers to the following questions. Can you answer the questions?
Graph Mining: K-Spanning Trees: Learn by finding answers to the following questions. Can you answer the questions? What is a Spanning Tree? What is a Minimum Spanning Tree? For the undirected Graph below, what is a Spanning Tree? First, draw the Graph, then Try to find the answer, and then check the answer below. Edges …
Oct 08
Graph Mining: Betweenness Based Clustering: Learn by finding answers to the following questions. Can you answer the following?
Graph Mining: Betweenness Based Clustering: Learn by finding answers to the following questions. Can you answer the following? What are the types of Betweenness? What is Vertex Betweenness? i.e. the concept What is Edge Betweenness? i.e. the concept Describe Vertex Betweenness? maybe just giving an example What does Vertex Betweenness clustering achieve? i.e. the output? …
