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{ "item_title" : "Big Data Analytics for Sensor-Network Collected Intelligence", "item_author" : [" Hui-Huang Hsu", "Chuan-Yu Chang", "Ching-Hsien Hsu "], "item_description" : "Big Data Analytics for Sensor-Network Collected Intelligence explores state-of-the-art methods for using advanced ICT technologies to perform intelligent analysis on sensor collected data. The book shows how to develop systems that automatically detect natural and human-made events, how to examine people's behaviors, and how to unobtrusively provide better services. It begins by exploring big data architecture and platforms, covering the cloud computing infrastructure and how data is stored and visualized. The book then explores how big data is processed and managed, the key security and privacy issues involved, and the approaches used to ensure data quality. In addition, readers will find a thorough examination of big data analytics, analyzing statistical methods for data analytics and data mining, along with a detailed look at big data intelligence, ubiquitous and mobile computing, and designing intelligence system based on context and situation. Indexing: The books of this series are submitted to EI-Compendex and SCOPUS", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/0/12/809/393/0128093935_b.jpg", "price_data" : { "retail_price" : "130.00", "online_price" : "130.00", "our_price" : "130.00", "club_price" : "130.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Big Data Analytics for Sensor-Network Collected Intelligence|Hui-Huang Hsu

Big Data Analytics for Sensor-Network Collected Intelligence

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Overview

Big Data Analytics for Sensor-Network Collected Intelligence explores state-of-the-art methods for using advanced ICT technologies to perform intelligent analysis on sensor collected data. The book shows how to develop systems that automatically detect natural and human-made events, how to examine people's behaviors, and how to unobtrusively provide better services.

It begins by exploring big data architecture and platforms, covering the cloud computing infrastructure and how data is stored and visualized. The book then explores how big data is processed and managed, the key security and privacy issues involved, and the approaches used to ensure data quality.

In addition, readers will find a thorough examination of big data analytics, analyzing statistical methods for data analytics and data mining, along with a detailed look at big data intelligence, ubiquitous and mobile computing, and designing intelligence system based on context and situation.

Indexing: The books of this series are submitted to EI-Compendex and SCOPUS

This item is Non-Returnable

Details

  • ISBN-13: 9780128093931
  • ISBN-10: 0128093935
  • Publisher: Academic Press
  • Publish Date: February 2017
  • Dimensions: 9.25 x 7.5 x 0.69 inches
  • Shipping Weight: 1.25 pounds
  • Page Count: 326

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