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Indexing and ranking are two key factors for efficient and effective XML information retrieval. Inappropriate indexing may result in false negatives and false positives, and improper ranking may lead to low precisions. In this paper, we propose a configurable XML information retrieval system, in which users can configure appropriate index types for XML tags(More)
The objective of this study was to analyze human fecal Lactobacillus community and its relationship with rheumatoid arthritis. Samples taken from rheumatoid arthritis (RA) patients and healthy individuals were analyzed by quantitative real-time PCR. Bacterial DNA was extracted from feces, and amplicons of the Lactobacillus-specific regions of 16S rRNA were(More)
Cerebral involvement is common in patients with systemic Lupus erythematosus (SLE) and is characterized by multiple clinical presentations, including cognitive disorders, headaches, and syncope. Several neuroimaging studies have demonstrated cerebral dysfunction during different tasks among SLE patients; however, there have been few studies designed to(More)
Maximal frequent itemsets (MFI) are crucial to many tasks in data mining. Since the MaxMiner algorithm first introduced enumeration trees for mining MFI in 1998, there have been several methods proposed to use depth first search to improve performance. To further improve the performance of mining MFI, we proposed a technique to gather and pass tail (of a(More)
Many XML applications over the Internet favor high-performance single-pass streaming XPath evaluation. Finite automata-based algorithms suffer from potentially combinatorial explosion of dynamic states for matching descendant axes. We present QuickXScan for streaming evaluation of XPath queries containing child and descendant axes with complex predicates.(More)
Medical free-text queries often share the same scenario. A scenario represents a repeating task in healthcare. For example, a specific scenario is searching for treatment methods for a specific disease , where " treatment " is a term indicating the scenario. To support scenario-specific retrieval, in this paper we present a new knowledge-based approach to(More)
Efficient algorithms to mine frequent patterns are crucial to many tasks in data mining. Since the Apriori algorithm was proposed in 1994, there have been several methods proposed to improve its performance. However, most still adopt its candidate set generation-and-test approach. In addition, many methods do not generate all frequent patterns, making them(More)
Extracting key concepts from clinical texts for indexing is an important task in implementing a medical digital library. Several methods are proposed for mapping free text into standard terms defined by the Unified Medical Language System (UMLS). For example, natural language processing techniques are used to map identified noun phrases into concepts. They(More)