59 results on '"Zhou, Zhi-hua"'
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2. Convolutional Nonlinear Neighbourhood Components Analysis for Time Series Classification
3. A Comparative Study on Parallel LDA Algorithms in MapReduce Framework
4. Distributed Newton Methods for Regularized Logistic Regression
5. Recommending Profitable Taxi Travel Routes Based on Big Taxi Trajectories Data
6. Stabilizing Sparse Cox Model Using Statistic and Semantic Structures in Electronic Medical Records
7. Mining High Utility Itemsets in Big Data
8. Mining Association Rules in Graphs Based on Frequent Cohesive Itemsets
9. Decomposition Based SAT Encodings for Itemset Mining Problems
10. Predicting Future Links Between Disjoint Research Areas Using Heterogeneous Bibliographic Information Network
11. Learning Focused Hierarchical Topic Models with Semi-Supervision in Microblogs
12. CPT+: Decreasing the Time/Space Complexity of the Compact Prediction Tree
13. Incorporating Probabilistic Knowledge into Topic Models
14. Unsupervised Blocking Key Selection for Real-Time Entity Resolution
15. Efficient Discovery of Recurrent Routine Behaviours in Smart Meter Time Series by Growing Subsequences
16. Locally Optimized Hashing for Nearest Neighbor Search
17. Clustering-Based Scalable Indexing for Multi-party Privacy-Preserving Record Linkage
18. A Feature Extraction Method for Multivariate Time Series Classification Using Temporal Patterns
19. Small-Variance Asymptotics for Bayesian Nonparametric Models with Constraints
20. Clustering on Multi-source Incomplete Data via Tensor Modeling and Factorization
21. Do-Rank: DCG Optimization for Learning-to-Rank in Tag-Based Item Recommendation Systems
22. Seamlessly Integrating Effective Links with Attributes for Networked Data Classification
23. A New Feature Sampling Method in Random Forests for Predicting High-Dimensional Data
24. Graph Based Relational Features for Collective Classification
25. A DC Programming Approach for Sparse Optimal Scoring
26. Scalable Outlying-Inlying Aspects Discovery via Feature Ranking
27. Cluster Sequence Mining: Causal Inference with Time and Space Proximity Under Uncertainty
28. Quality Control for Crowdsourced POI Collection
29. Preference-Based Top-k Representative Skyline Queries on Uncertain Databases
30. Semi Supervised Adaptive Framework for Classifying Evolving Data Stream
31. A Plane Moving Average Algorithm for Short-Term Traffic Flow Prediction
32. Cost-Sensitive Feature Selection on Heterogeneous Data
33. Achieving Accuracy Guarantee for Answering Batch Queries with Differential Privacy
34. Predicting Next Locations with Object Clustering and Trajectory Clustering
35. Automated Classification of Passing in Football
36. Towards Efficient Sequential Pattern Mining in Temporal Uncertain Databases
37. A Semi-Supervised Framework for Social Spammer Detection
38. ND-Sync: Detecting Synchronized Fraud Activities
39. Fast One-Class Support Vector Machine for Novelty Detection
40. An Embedding Scheme for Detecting Anomalous Block Structured Graphs
41. Spectral Clustering for Large-Scale Social Networks via a Pre-Coarsening Sampling based NystrÖm Method
42. A Core-Attach Based Method for Identifying Protein Complexes in Dynamic PPI Networks
43. Coupling Multiple Views of Relations for Recommendation
44. Mining Uncertain Sequential Patterns in Iterative MapReduce
45. Contextual Anomaly Detection Using Log-Linear Tensor Factorization
46. pcStream: A Stream Clustering Algorithm for Dynamically Detecting and Managing Temporal Contexts
47. Evolving Chinese Restaurant Processes for Modeling Evolutionary Traces in Temporal Data
48. Computing and Mining ClustCube Cubes Efficiently
49. Pairwise One Class Recommendation Algorithm
50. Sentiment Analysis on Microblogging by Integrating Text and Image Features
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