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Recent Developments in Machine Learning and Data Analytics: IC3 2018 - Softcover

 
9789811312816: Recent Developments in Machine Learning and Data Analytics: IC3 2018

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Synopsis

Chapter 1: MaNaDAC:An Effective Alert Correlation Method.- Chapter 2: WSD for Assamese Language.- Chapter 3: Fuzzy Clustering with Ensemble Classification techniques to improve the Customer Churn Prediction in Telecommunication Sector.- Chapter 4: Interval-valued complex fuzzy concept lattice and its granular decomposition.- Chapter 5: SBFP-growth: A Step to remove the bottleneck of FP-tree.- Chapter 6: Combining Multi-level Contexts of Superpixel using Convolutional Neural Networks to perform Natural Scene Labeling.- Chapter 7:  A fast Algorithm for Automatic Segmentation of Pancreas Histological Images for Glucose Intolerance Identification.- Chapter 8: Aptitude Question Paper Generator and Answer Verification System.- Chapter 9: Elephant Herding Algorithm for Clustering.- Chapter 10: Affinity Maturation of Homophones in Word-Level Speech Recognition.- Chapter 11: Fusion based Underwater Image Enhancement by Weight Map Techniques.- Chapter 12: IoT Enabled Ubiquitous Healthcare Data Acquisition and Monitoring System for Personal and Medical usage Powered by Cloud Application: An Architectural Overview.- Chapter 13: Analysis and Prediction of City Scale Transportation System Using XGBOOST Technique.- Chapter 14: Sensor Selection and Data Fusion Approach for IoT Applications.- Chapter 15: An overview of Hadoop Mapreduce, Spark and Scala-ble Graph Processing Architecture.- Chapter 16: Analyzing Social Trend towards Girl Child in India: A Machine Intelligence based Approach.

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  • PublisherSpringer
  • Publication date2018
  • ISBN 10 9811312818
  • ISBN 13 9789811312816
  • BindingPaperback
  • LanguageEnglish

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Other Popular Editions of the Same Title

9789811312793: Recent Developments in Machine Learning and Data Analytics: IC3 2018: 740 (Advances in Intelligent Systems and Computing, 740)

Featured Edition

ISBN 10:  9811312796 ISBN 13:  9789811312793
Publisher: Springer, 2018
Softcover