Simple Notes: Title: Improving Survey Aggregation with Sparsely Represented Signals Authors: Tianlin Shi, Stanford University Forest ... Title: Point-of-Interest Recommendations: Learning Potential Check-ins from Friends Authors: Huayu Li, University of North ...

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Title: Text Mining in Clinical Domain: Dealing with Noise Authors: Hoang Nguyen*, National ICT Australia Jon Patrick, University ... Title: Parallel Lasso Screening for Big Data Optimization Authors: Qingyang Li*, Arizona State University Shuang Qiu, University of ... Title: A Subsequence Interleaving Model for Sequential Pattern Mining Authors: Jaroslav Fowkes, University of Edinburgh Charles ...

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Title: A Subsequence Interleaving Model for Sequential Pattern Mining Authors: Jaroslav Fowkes, University of Edinburgh Charles ... Title: Point-of-Interest Recommendations: Learning Potential Check-ins from Friends Authors: Huayu Li, University of North ...

General Quick Guide

Title: CompanyDepot: Employer Name Normalization in the Online Recruitment Industry Authors: Qiaoling Liu*, CareerBuilder ... Title: Dynamics of Large Multi-View Social Networks: Synergy, Cannibalization and Cross-View Interplay Authors: Yu Shi*, ... Title: Improving Survey Aggregation with Sparsely Represented Signals Authors: Tianlin Shi, Stanford University Forest ...

General Practical Checks

Title: Improving Survey Aggregation with Sparsely Represented Signals Authors: Tianlin Shi, Stanford University Forest ... Title: Ranking Causal Anomalies via Temporal and Dynamical Analysis on Vanishing Correlations Authors: Wei Cheng*, NEC ...

Useful notes from the results

  • Title: Text Mining in Clinical Domain: Dealing with Noise Authors: Hoang Nguyen*, National ICT Australia Jon Patrick, University ...
  • Title: Improving Survey Aggregation with Sparsely Represented Signals Authors: Tianlin Shi, Stanford University Forest ...
  • Title: Dynamics of Large Multi-View Social Networks: Synergy, Cannibalization and Cross-View Interplay Authors: Yu Shi*, ...
  • Title: A Subsequence Interleaving Model for Sequential Pattern Mining Authors: Jaroslav Fowkes, University of Edinburgh Charles ...
  • Title: Parallel Lasso Screening for Big Data Optimization Authors: Qingyang Li*, Arizona State University Shuang Qiu, University of ...
  • Title: CompanyDepot: Employer Name Normalization in the Online Recruitment Industry Authors: Qiaoling Liu*, CareerBuilder ...

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KDD2016 paper 478
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KDD2016 paper 448
KDD2016 paper 645
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KDD2016 paper 478

KDD2016 paper 478

Title: Text Mining in Clinical Domain: Dealing with Noise Authors: Hoang Nguyen*, National ICT Australia Jon Patrick, University ...

KDD2016 paper 1085

KDD2016 paper 1085

Title: Improving Survey Aggregation with Sparsely Represented Signals Authors: Tianlin Shi, Stanford University Forest ...

KDD2016 paper 770

KDD2016 paper 770

Title: CompanyDepot: Employer Name Normalization in the Online Recruitment Industry Authors: Qiaoling Liu*, CareerBuilder ...

KDD2016 paper 839

KDD2016 paper 839

Title: Parallel Lasso Screening for Big Data Optimization Authors: Qingyang Li*, Arizona State University Shuang Qiu, University of ...

KDD2016 paper 767

KDD2016 paper 767

Title: A Subsequence Interleaving Model for Sequential Pattern Mining Authors: Jaroslav Fowkes, University of Edinburgh Charles ...

KDD2016 paper 445

KDD2016 paper 445

Title: Ranking Causal Anomalies via Temporal and Dynamical Analysis on Vanishing Correlations Authors: Wei Cheng*, NEC ...

KDD2016 paper 943

KDD2016 paper 943

Title: Evaluating Mobile App Release Authors: Ya Xu*, LinkedIn Corporation Nanyu Chen, LinkedIn Corporation Abstract: We ...

KDD2016 paper 123

KDD2016 paper 123

Title: Dynamics of Large Multi-View Social Networks: Synergy, Cannibalization and Cross-View Interplay Authors: Yu Shi*, ...

KDD2016 paper 448

KDD2016 paper 448

Title: Point-of-Interest Recommendations: Learning Potential Check-ins from Friends Authors: Huayu Li, University of North ...

KDD2016 paper 645

KDD2016 paper 645

Title: Streaming-LDA: A Copula-based Approach to Modeling Topic Dependencies in