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Mining fuzzy association rules in databases
Data mining is the discovery of previously unknown, potentially useful and hidden knowledge in databases. In this paper, we concentrate on the discovery of association rules. Many algorithms haveExpand
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Fast time-series searching with scaling and shifting
Recently, it has been found that the technique of searching for similar patterns among time series data is very important in a wide range of scientific and business applications. In this paper, weExpand
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iview: an interactive WebGL visualizer for protein-ligand complex
BackgroundVisualization of protein-ligand complex plays an important role in elaborating protein-ligand interactions and aiding novel drug design. Most existing web visualizers either rely on slowExpand
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A Precise Termination Condition of the Probabilistic Packet Marking Algorithm
The probabilistic packet marking (PPM) algorithm is a promising way to discover the Internet map or an attack graph that the attack packets traversed during a distributed denial-of-service attack.Expand
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Substituting random forest for multiple linear regression improves binding affinity prediction of scoring functions: Cyscore as a case study
BackgroundState-of-the-art protein-ligand docking methods are generally limited by the traditionally low accuracy of their scoring functions, which are used to predict binding affinity and thus vitalExpand
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Finding Fuzzy Sets for the Mining of Fuzzy Association Rules for Numerical Attributes
Fuzzy association rules is introduced in 3]. However, the algorithms proposed by 3] for mining fuzzy association rules assumes that fuzzy sets are given. Here we propose a method to nd the fuzzy setsExpand
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idock: A multithreaded virtual screening tool for flexible ligand docking
AutoDock Vina is a competitive protein-ligand docking tool well known for its fast execution and high accuracy. Nevertheless, when docking a massive number of ligands, Vina has to be run multipleExpand
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Efficient subsequence matching for sequences databases under time warping
  • T. Wong, M. H. Wong
  • Computer Science
  • Seventh International Database Engineering and…
  • 16 July 2003
It has been found that the technique of searching for similar patterns among time series data is very important in a wide range of scientific and business applications. Most of the research works useExpand
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Tolerating bounded inconsistency for increasing concurrency in database systems
Recently, the scope of databases has been extended to many non-standard applications, and serializability is found to be too restrictive for such applications. In general, two approaches are adoptedExpand
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Predicting Approximate Protein-DNA Binding Cores Using Association Rule Mining
The studies of protein-DNA bindings between transcription factors (TFs) and transcription factor binding sites (TFBSs) are important bioinformatics topics. High-resolution (length<;10) TF-TFBSExpand
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