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The problem of efficiently finding top-k frequent items has attracted much attention in recent yeras. Storage constraints in the processing node and intrinsic evloving feature of the data streams are two main challenges. In this paper, we propose a method to tackle these two challenges based on space-saving and gossip-based algorithms respectively. Our method is implemented on SAMOA, a scalable advanced...
Knowledge element analogy relation is a corresponding relationship in content, function or other aspects between two knowledge elements. This paper proposes a framework of relation Gaussian processes-based learning for knowledge element analogy relation recognition, which can integrate information from text and relation graph structure. Based on terms or core terms co-occurrence and type compatibility,...
A cognitive OFDM-based relay network is considered in this paper. Communication between any node pair occurs on a spectrum pool of OFDM subcarriers where the subcarriers are not used by primary users. Therefore, the available spectrum for different transmitter-receiver pairs is distinct due to their location difference and so on. To satisfy different traffic demand and improve system performance,...
Protocols for secure multi-party computation allow participants to share a computation while each party learns only what can be inferred from their own inputs and the output of the computation. However, the execution time of a secure protocol may be too high therefore it is not practical unless some tradeoffs are made between data access and confidentiality. This paper aims to provide some empirical...
Knowledge element relation recognition is to mine intrinsic and hidden relations, i.e., preorder, analogy and illustration from knowledge element set, which can be used in knowledge organization and knowledge navigation system. This paper focuses on what information is employed to recognize knowledge element relations. First, a formal definition of knowledge element and the types of relation are given...
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