Fast Context: Title: A Subsequence Interleaving Model for Sequential Pattern Mining Authors: Jaroslav Fowkes, University of Edinburgh Charles ... Title: Large-Scale Item Categorization in e-Commerce Using Multiple Recurrent Neural Networks Authors: Jung-Woo Ha*, NAVER ...
Kdd2016 Paper 66 - Search Intent Notes for Readers
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Title: Safe Pattern Pruning: An Efficient Approach for Predictive Pattern Mining Authors: Kazuya Nakagawa*, Nagoya Institute of ... Title: A Subsequence Interleaving Model for Sequential Pattern Mining Authors: Jaroslav Fowkes, University of Edinburgh Charles ... Title: MANTRA: A Scalable Approach to Mining Temporally Anomalous Sub-trajectories Authors: Prithu Banerjee*, UBC Pranali ...
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Title: MANTRA: A Scalable Approach to Mining Temporally Anomalous Sub-trajectories Authors: Prithu Banerjee*, UBC Pranali ... Title: FRAUDAR: Bounding Graph Fraud in the Face of Camouflage Authors: Bryan Hooi*, Carnegie Mellon University Hyun Ah ...
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Title: FASCINATE: Fast Cross-Layer Dependency Inference on Multi-layered Networks Authors: Chen Chen*, Arizona State ... Title: Collaborative Knowledge Base Embedding for Recommender Systems Authors: Fuzheng Zhang*, Microsoft Research ... Title: An Empirical Study on Recommendation with Multiple Types of Feedback Authors: Liang Tang*, LinkedIn Corp.
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Title: An Empirical Study on Recommendation with Multiple Types of Feedback Authors: Liang Tang*, LinkedIn Corp. Title: Meta Structure: Computing Relevance in Large Heterogeneous Information Networks Authors: Zhipeng Huang*, The ...
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- Title: Meta Structure: Computing Relevance in Large Heterogeneous Information Networks Authors: Zhipeng Huang*, The ...
- Title: Safe Pattern Pruning: An Efficient Approach for Predictive Pattern Mining Authors: Kazuya Nakagawa*, Nagoya Institute of ...
- Title: A Subsequence Interleaving Model for Sequential Pattern Mining Authors: Jaroslav Fowkes, University of Edinburgh Charles ...
- Title: An Empirical Study on Recommendation with Multiple Types of Feedback Authors: Liang Tang*, LinkedIn Corp.
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