Introduction to Kdd2016 Paper 679

Exploring Kdd2016 Paper 679 reveals several interesting facts. Title: Structural Neighborhood Based Classification of Nodes in a Network Authors: Sharad Nandanwar*, Indian Institute of ...

Kdd2016 Paper 679 Comprehensive Overview

Title: XGBoost: A Scalable Tree Boosting System Authors: Tianqi Chen, University of Washington Carlos Guestrin, University of ... Title: From Truth Discovery to Trustworthy Opinion Discovery: An Uncertainty-Aware Quantitative Modeling Approach Authors: ... Title: Identifying Earmarks in Congressional Bills Authors Lingyang Chu*, Simon Fraser University Zhefeng Wang, University of ...

Title: "Why Should I Trust You?": Explaining the Predictions of Any Classifier Authors: Marco Túlio Ribeiro*, University of ...

Summary & Highlights for Kdd2016 Paper 679

  • Title: MANTRA: A Scalable Approach to Mining Temporally Anomalous Sub-trajectories Authors: Prithu Banerjee*, UBC Pranali ...
  • Title: ABRA: Approximating Betweenness Centrality in Static and Dynamic Graphs with Rademacher Averages Authors: Matteo ...
  • Title: Improving Survey Aggregation with Sparsely Represented Signals Authors: Tianlin Shi, Stanford University Forest ...
  • Title: Just One More: Modeling Binge Watching Behavior Authors: William Trouleau*, EPFL Azin Ashkan, Technicolor Research ...
  • Title: Meta Structure: Computing Relevance in Large Heterogeneous Information Networks Authors: Zhipeng Huang*, The ...

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