December 11, 2017
Comments Off on Graph Regularized Feature Selection with Data Reconstruction
Posted in: IEEE 2017, Java
Graph Regularized Feature Selection with Data Reconstruction Abstract Feature selection is a challenging problem for high dimensional data processing, which arises in many real applications such as data mining, information retrieval, and pattern recognition. In this paper, we study the problem of unsupervised feature selection. The problem is challenging due to the lack of label information to guide feature selection. We formulate the problem of […]
December 11, 2017
Comments Off on DiploCloud: Efficient and Scalable Management of RDF Data in the Cloud
Posted in: IEEE 2017, Java
DiploCloud: Efficient and Scalable Management of RDF Data in the Cloud Abstract Despite recent advances in distributed RDF data management, processing large-amounts of RDF datain the cloud is still very challenging. In spite of its seemingly simple data model, RDF actually encodes rich and complex graphs mixing both instance and schema-level data. Sharding such data using classical techniques or partitioning the graph using traditional min-cut algorithms leads to very […]