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Big Data Analytics

Overview of attention for book
Big Data Analytics
Springer International Publishing

Table of Contents

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    Book Overview
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    Chapter 1 MAG-Net: Multi-task Attention Guided Network for Brain Tumor Segmentation and Classification
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    Chapter 2 Smartphone Mammography for Breast Cancer Screening
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    Chapter 3 Bridging the Inferential Gaps in Healthcare
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    Chapter 4 2AI&7D Model of Resistomics to Counter the Accelerating Antibiotic Resistance and the Medical Climate Crisis
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    Chapter 5 Tooth Detection from Panoramic Radiographs Using Deep Learning
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    Chapter 6 Hate Speech Detection Using Static BERT Embeddings
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    Chapter 7 Fog Enabled Distributed Training Architecture for Federated Learning
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    Chapter 8 Modular ST-MRF Environment for Moving Target Detection and Tracking Under Adverse Local Conditions
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    Chapter 9 Challenges of Machine Learning for Data Streams in the Banking Industry
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    Chapter 10 A Novel Aspect-Based Deep Learning Framework (ADLF) to Improve Customer Experience
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    Chapter 11 Routing Protocol Security for Low-Power and Lossy Networks in the Internet of Things
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    Chapter 12 MQTT Protocol Use Cases in the Internet of Things
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    Chapter 13 Large-Scale Contact Tracing, Hotspot Detection, and Safe Route Recommendation
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    Chapter 14 Current Trends in Learning from Data Streams
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    Chapter 15 Diagnostic Code Group Prediction by Integrating Structured and Unstructured Clinical Data
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    Chapter 16 SCIMAT: Dataset of Problems in Science and Mathematics
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    Chapter 17 Rank-Based Prefetching and Multi-level Caching Algorithms to Improve the Efficiency of Read Operations in Distributed File Systems
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    Chapter 18 Impact-Driven Discretization of Numerical Factors: Case of Two- and Three-Partitioning
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    Chapter 19 Towards Machine Learning to Machine Wisdom: A Potential Quest
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    Chapter 20 Big Data over Cloud: Enabling Drug Design Under Cellular Environment
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    Chapter 21 Predictive Analytics for Recognizing Human Activities Using Residual Network and Fine-Tuning
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    Chapter 22 DXML: Distributed Extreme Multilabel Classification
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    Chapter 23 An Efficient Distributed Coverage Pattern Mining Algorithm
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    Chapter 24 Outcomes of Speech to Speech Translation for Broadcast Speeches and Crowd Source Based Speech Data Collection Pilot Projects
Attention for Chapter 23: An Efficient Distributed Coverage Pattern Mining Algorithm
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