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Data Mining and Knowledge Discovery for Big Data|Wesley W. Chu

Data Mining and Knowledge Discovery for Big Data : Methodologies, Challenge and Opportunities

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Overview

Aspect and Entity Extraction for Opinion Mining.- Mining Periodicity from Dynamic and Incomplete Spatiotemporal Data.- Spatio-Temporal Data Mining for Climate Data: Advances, Challenges.- Mining Discriminative Subgraph Patterns from Structural Data.- Path Knowledge Discovery: Multilevel Text Mining as a Methodology for Phenomics.- InfoSearch: A Social Search Engine.- Social Media in Disaster Relief: Usage Patterns, Data Mining Tools, and Current Research Directions.- A Generalized Approach for Social Network Integration and Analysis with Privacy Preservation.- A Clustering Approach to Constrained Binary Matrix Factorization.

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Details

  • ISBN-13: 9783642408366
  • ISBN-10: 3642408362
  • Publisher: Springer
  • Publish Date: October 2013
  • Dimensions: 9.2 x 6.2 x 0.9 inches
  • Shipping Weight: 1.25 pounds
  • Page Count: 311

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