Graph Mining: Link Based Ranking and Document Classification

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Related lectures (30)

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Link-based Ranking: Fundamentals and Algorithms

Covers the fundamentals and algorithms of link-based ranking, including anchor text indexing, PageRank, HITS, and practical implementations.

Graph Mining: Modularity and Community Detection

Explores community detection in graphs using modularity and edge betweenness.

Introduction to Multiprocessor Architecture

Introduces the fundamentals of multiprocessor architecture, covering post-Moore servers, sustainable datacenters, parallel programming, and GPU utilization.

Information Exchange in Digital Era

Delves into the complexities of information exchanges in the digital age.

Link-based ranking: PageRank & HITS

Explores link-based ranking through PageRank and HITS algorithms, covering practical examples and challenges in web search and ranking methods.

Graph Mining: Social Networks Analysis

Explores graph mining in social networks, covering modularity algorithms and community detection.

Advanced Multiprocessor Architecture

Covers Advanced Multiprocessor Architecture, discussing course logistics, components, grading, and trends in modern computing systems.

Link-Based Ranking: PageRank

Explores link-based ranking with a focus on PageRank algorithm and its practical application in web search engines.

Mining Social Graphs

Explores mining social graphs, regularization, community structures, and community detection algorithms in various applications.

Link-Based Ranking: Introduction

Explores the significance of anchor text in link-based ranking and its impact on search results.