Knowledge and Data Engineering (Data Mining) 2018 - 2019
1.Location Inference for Non-geotagged Tweets in User Timelines





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2.Modeling and Predicting Community Structure Changes in Time Evolving Social Networks





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3.PrivateGraph: Privacy-Preserving Spectral Analysis of Encrypted Graphs in the Cloud





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4.On Spatial-Aware Community Search





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5.On Generalizing Collective Spatial Keyword Queries





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6.Relationship between Variants of One-Class Nearest Neighbours and Creating their Accurate Ensembles





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7.Influence Maximization on Social Graphs: A Survey





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8.Mining Summaries for Knowledge Graph Search





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9.Supervised Search Result Diversification via Subtopic Attention





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10.Approximate Order-Sensitive k-NN Queries over Correlated High-Dimensional Data





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11.Online Product Quantization





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12.Uncertain Graph Sparsification





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13.A General Framework for Implicit and Explicit Social Recommendation





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14.Finding Optimal Skyline Product Combinations under Price Promotion





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15.Adaptive Cost-Sensitive Online Classification





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16.Efficient Mining of Frequent Patterns on Uncertain Graphs





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17.NAIS: Neural Attentive Item Similarity Model for Recommendation





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18.Similarity Measures for SQL Query Clustering





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