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{ "item_title" : "Data Engineering and Applications", "item_author" : [" Jitendra Agrawal", "Rajesh K. Shukla", "Sanjeev Sharma "], "item_description" : "This book comprises select proceedings from the 4th International Conference on Data, Engineering, and Applications (IDEA 2022). The contents discuss novel contributions and latest developments in the domains of data structures and data management algorithms, information retrieval and information integration, social data analytics, IoT and data intelligence, Industry 4.0 and digital manufacturing, data fusion, natural language processing, geolocation handling, image, video and signal processing, ICT applications and e-governance, among others. This book is of interest to researchers in academia and industry working in big data, data mining, machine learning, data science, and their associated learning systems and applications. ", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/81/970/036/9819700361_b.jpg", "price_data" : { "retail_price" : "249.99", "online_price" : "249.99", "our_price" : "249.99", "club_price" : "249.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Data Engineering and Applications|Jitendra Agrawal

Data Engineering and Applications : Proceedings of the International Conference, Idea 2k22, Volume 1

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Overview

This book comprises select proceedings from the 4th International Conference on Data, Engineering, and Applications (IDEA 2022). The contents discuss novel contributions and latest developments in the domains of data structures and data management algorithms, information retrieval and information integration, social data analytics, IoT and data intelligence, Industry 4.0 and digital manufacturing, data fusion, natural language processing, geolocation handling, image, video and signal processing, ICT applications and e-governance, among others. This book is of interest to researchers in academia and industry working in big data, data mining, machine learning, data science, and their associated learning systems and applications.

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Details

  • ISBN-13: 9789819700363
  • ISBN-10: 9819700361
  • Publisher: Springer
  • Publish Date: September 2024
  • Dimensions: 8.9 x 5.7 x 1.3 inches
  • Shipping Weight: 2.6 pounds
  • Page Count: 626

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