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{ "item_title" : "Graph Databases", "item_author" : [" Christos Tjortjis "], "item_description" : "With social media producing such huge amounts of data, the importance of gathering this rich data, often called the digital gold rush, processing it and retrieving information is vital. This practical book combines various state-of-the-art tools, technologies and techniques to help us understand Social Media Analytics, Data Mining and Graph Databases, and how to better utilize their potential.Graph Databases: Applications on Social Media Analytics and Smart Cities reviews social media analytics with examples using real-world data. It describes data mining tools for optimal information retrieval; how to crawl and mine data from Twitter; and the advantages of Graph Databases. The book is meant for students, academicians, developers and simple general users involved with Data Science and Graph Databases to understand the notions, concepts, techniques, and tools necessary to extract data from social media, which will aid in better information retrieval, management and prediction. ", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/1/03/202/478/103202478X_b.jpg", "price_data" : { "retail_price" : "233.99", "online_price" : "233.99", "our_price" : "233.99", "club_price" : "233.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Graph Databases|Christos Tjortjis

Graph Databases : Applications on Social Media Analytics and Smart Cities

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Overview

With social media producing such huge amounts of data, the importance of gathering this rich data, often called "the digital gold rush", processing it and retrieving information is vital. This practical book combines various state-of-the-art tools, technologies and techniques to help us understand Social Media Analytics, Data Mining and Graph Databases, and how to better utilize their potential.

Graph Databases: Applications on Social Media Analytics and Smart Cities reviews social media analytics with examples using real-world data. It describes data mining tools for optimal information retrieval; how to crawl and mine data from Twitter; and the advantages of Graph Databases. The book is meant for students, academicians, developers and simple general users involved with Data Science and Graph Databases to understand the notions, concepts, techniques, and tools necessary to extract data from social media, which will aid in better information retrieval, management and prediction.

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Details

  • ISBN-13: 9781032024783
  • ISBN-10: 103202478X
  • Publisher: CRC Press
  • Publish Date: October 2023
  • Page Count: 180

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