2001 · 11 citations · 7 references
ComputingComputer ScienceData MiningData StructuresInformation RetrievalDocument ClusteringDocument RepresentationNearest Neighbor SearchText ClusteringText MiningText Similarity AnalysisBitmap IndexingClusteringClustering-based RetrievalIndexing StructuresXml Document RetrievalXml Indexing
This paper describes a bitmap indexing based technique to cluster XML documents. XML documents can be hierarchically represented by elements. To improve performance of information retrieval, documents can be indexed using bitmap techniques. Such a bitmap index is sparse, meaning it contains unnecessarily many zero bits, especially for the word dimension. To remove zero bits and improve the performance of information retrieval, we propose to generate several small bitmap indexes that are not sparse. Using the similarity and popularity operations available in bitmap indexes, three clustering techniques are discussed: topdown clustering, bottom-up clustering, and mixed clustering. Experimental results are also shown in this paper. Keywords Clustering, Partitioning, BitCube, XML Indexing. 1.
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Christos H. Papadimitriou, Hisao Tamaki, Prabhakar Raghavan et al. · 1998 · 874 citations
Improved query performance with variant indexes
Patrick E. O׳Neil, Dallan Quass · 1997 · 484 citations
Bitmap index design and evaluation
Chee-Yong Chan, Yannis Ioannidis · 1998 · 353 citations