Data Science and Big Data Book by Shyi-Ming Chen
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Data Science and Big Data

Data Science and Big Data


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About the Book

Part I. Fundamentals.- Large-Scale Clustering Algorithms.- On High Dimensional Search Space and Learning Methods.-Enhanced Over_Sampling Techniques for Imbalanced Big Data Set Classification.- Online Anomaly Detection in Big Data: The First Line of Defense Against Intruders.- Developing Modified Classifier for Big Data Paradigm: An Approach through Bio-Inspired Soft Computing.- Unified Framework for Control of Machine Learning Tasks Towards Effective and Efficient Processing of Big Data.- An Efficient Approach for Mining High Utility Itemsets over Data Streams.- Event Detection in Location-Based Social Networks.- Part II. Applications.- Using Computational Intelligence for the Safety Assessment of Oil and Gas Pipelines: A Survey.- Big Data for Effective Management of Smart Grids.- Distributed Machine Learning on Smart-Gateway Network Towards Real-Time Indoor Data Analytics.- Predicting Spatiotemporal Impacts of Weather on Power Systems using Big Data Science.- Index.


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Product Details
  • ISBN-13: 9783319534732
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Edition: 1st ed. 2017
  • Language: English
  • Returnable: Y
  • Spine Width: 19 mm
  • Weight: 666 gr
  • ISBN-10: 3319534734
  • Publisher Date: 29 Mar 2017
  • Binding: Hardback
  • Height: 234 mm
  • No of Pages: 303
  • Series Title: Studies in Big Data
  • Sub Title: An Environment of Computational Intelligence
  • Width: 156 mm


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