Multimedia big data computing for IoT applications : concepts, paradigms and solutions / edited by Sudeep Tanwar, Sudhanshu Tyagi, Neeraj Kumar [electronic resource]

Contributor(s): Tanwar, Sudeep | Tyagi, Sudhanshu | Kumar, Neeraj
Material type: Computer fileComputer filePublisher: Singapore : Springer, 2020Description: 1 online resourceISBN: 9789811387593 (E-book)Subject(s): BIG DATA | MULTIMEDIA SYSTEMSLOC classification: QA 76.9.B45 | M84 2020Online resources: View Full-text
Contents:
Multimedia Big data computing for IoT -- Energy Conservation in MMBD Computing and IoT -- A Challenge -- An Architecture for the Real-Time Data Stream Monitoring in IoT -- Deep learning for Multimedia data in IoT -- Random Forest based Sarcastic Tweet Classification using multiple feature Collection -- Peak Average Power Ratio reduction in FBMC using SLM & PTS techniques -- Intelligent Personality Analysis on Indicators in IoT-MMBD Enabled Environment -- Data Reduction in MMBD Computing -- Large Scale MMBD Management and Retrieval -- Data Reduction Technique for Capsule Endoscopy -- Multimedia Social Big Data: Mining -- Advertisement prediction in social media environment using big data framework
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Item type Current location Collection Shelving location Call number Status Date due Barcode Item holds Course reserves
E-Book E-Book SPU Library, Bangkhen (Main campus)
Electronic Resources On Display QA 76.9.B45 M84 2020 (Browse shelf) Available 9789811387593

เทคโนโลยีบิ๊กดาต้า (BIG DATA TECHNOLOGY) ภาคการศึกษาที่ 2

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Multimedia Big data computing for IoT -- Energy Conservation in MMBD Computing and IoT -- A Challenge -- An Architecture for the Real-Time Data Stream Monitoring in IoT -- Deep learning for Multimedia data in IoT -- Random Forest based Sarcastic Tweet Classification using multiple feature Collection -- Peak Average Power Ratio reduction in FBMC using SLM & PTS techniques -- Intelligent Personality Analysis on Indicators in IoT-MMBD Enabled Environment -- Data Reduction in MMBD Computing -- Large Scale MMBD Management and Retrieval -- Data Reduction Technique for Capsule Endoscopy -- Multimedia Social Big Data: Mining -- Advertisement prediction in social media environment using big data framework

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