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Improving ontology matching with propagation strategy and user feedback
  • 所属机构名称：苏州大学
  • 会议名称：Seventh International Conference on Digital Image Processing (ICDIP2015)
  • 时间：2015
  • 成果类型：会议
  • 相关项目：面向Deep Web的大规模知识库自动构建方法研究
同会议论文项目
面向Deep Web的大规模知识库自动构建方法研究
期刊论文 38 会议论文 34
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Maximum Classification Optimization-based Active Learning for Image Classification
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An Item-based Collaborative Filtering Framework Based on Preferences of Global Users
Improving Ontology Matching with Propagation Strategy and User Feedback
Improving ontology matching with propagation strategy and user feedback
Scalable Top-k Spatial Image Search on RoadNetworks
Semi-Supervised Based Training Set Construction For Outlier Detection
Integrating Multiple Information of Active Learning for Image Classification
Semi-automatic Labelingwith Active Learning for Multi-label Image Classification
Traffic Vehicle Behavior Prediction Using Hidden Markov Models
A Multiple Phase Stratification Based Hierarchical Clustering Over a Deep Web Data Source
A multicriterion query based batch mode active learning technique
Improving ontology matching with propagation strategy and user feedback
Ranked Reverse BooleanSpatial Keyword Nearest Neighbors Search
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Multi-label Active Learning for Image Classification
Ranked Reverse BooleanSpatial Keyword Nearest Neighbors Search
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An Efficient Location-AwarePublish/Subscribe Index with Boolean Expressions
A multi-criterion Query Based Batch Mode Active Learning Technique
Active Learning for Duplicate Record Identification in Deep Web
An improved similarity measure method in Collaborative Filtering Recommendation Algorithm
Constructing Training Set For Supervised Outlier Detection
A Multiple Phase Stratification Based Hierarchical Clustering Over a Deep Web Data Source
Effective Sampling of Points of Interests on Maps based on Road Networks
Effective Spatial KeywordQuery Processing on Road Networks
TK-SK: Textual-restricted KSpatial Keyword Query on Road Networks
Multi-Label Active Learningwith Chi-Square Statistics for Image Classification
Best First Over-Samplingfor Multilabel Classification
Weak Labeled Multi-LabelActive Learning for Image Classification
Active Learning for Duplicate Record Identification in Deep Web
Improving ontology matching with propagation strategy and user feedback