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According to the characteristics of Weibo event, this paper analyzes the advantages and disadvantages of the traditional K-means algorithm, and proposes the K-means clustering algorithm of events based on variable time granularity. The experiments show that the improved algorithm is more suitable for clustering analysis of Weibo event, improves the efficiency of clustering algorithm, and solves the...
Despite the proliferation of work on XML keyword query, it remains open to support keyword query over probabilistic XML data. Compared with traditional keyword search, it is far more expensive to answer a keyword query over probabilistic XML data due to the consideration of possible world semantics. In this paper, we firstly define the new problem of studying top-k keyword search over probabilistic...
With the rapid increase of XML documents on the web, how to index, store and retrieve these documents has become a very popular and valuable problem. At present, there are two normal ways of retrieving XML documents. One is structure-based retrieval; the other is keyword-based retrieval. However, XML keyword search is becoming more and more popular because it is easy to master and manipulate. In XML...
Keyword search is considered to be an effective information discovery method for both structured and semi-structured data. In XML keyword search, query semantics is based on the concept of Lowest Common Ancestor (LCA). However, naive LCA-based semantics leads to exponential computation and result size. In the literature, LCA-based semantic variants (e.g., ELCA and SLCA) were proposed, which define...
Path and Keyword search in XML documents has recently become an active area of research, in which constructing an effective index is a key issue. Existing index structures and encoding schemes for XML query processing target the Parent-Child and Ancestor-Descendant relationships, however, they depend on large index space and complex algorithms used to process regular path expressions. In this paper,...
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