Real life transaction data often miss some occurrences of items that are actually present. As a consequence some potentially interesting frequent patterns cannot be discovered, since with exact matching the number of ...
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this paper discusses a consistency in patterns of language use across domain-specific collections of text. We present a method for the automatic identification of domain-specific keywords - specialist terms - based on...
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Fast control chart patternrecognition aids in instantaneous detection of abnormal functioning of a system. In this paper, we present a parallel algorithm for fast control chart patternrecognition. It addresses three...
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machinelearning techniques are widely used in the analysis of biomedical datasets. Modern devices tend to produce voluminous, high-dimensional datasets for which medical practitioners require high-performance, user-f...
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the proceedings contain 60 papers. the topics discussed include: predicting software suitability using a Bayesian belief network;parallel algorithm for control chart patternrecognition;data-centric automated data min...
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ISBN:
(纸本)0769524958
the proceedings contain 60 papers. the topics discussed include: predicting software suitability using a Bayesian belief network;parallel algorithm for control chart patternrecognition;data-centric automated datamining;a Bayesian kernel for the prediction of neuron properties from binary gene profiles;new filter-based feature selection criteria for identifying differentially expressed genes;a new clustering algorithm using message passing and its applications in analyzing microarray data;iterative weighting of phylogenetic profiles increases classification accuracy;integrating knowledge-driven and data-driven approaches for the derivation of clinical prediction rules;sparse classifiers for automated heart wall motion abnormality detection;segmenting brain tumors using alignment-based features;and the application of machinelearning techniques to the prediction of erectile dysfunction.
We estimate the speed of texture change by measuring the spread of texture vectors in their feature space. this method allows us to robustly detect even very slow moving objects. By learning a normal amount of texture...
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In this paper we address confidentiality issues in distributed data clustering, particularly the inference problem. We present a measure of inference risk as a function of reconstruction precision and number of collud...
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Multi-database mining has attracted a lot of attention because it is an important research topic for large companies that have many branches to generate powerful insights that lead to benefits. However it is difficult...
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ISBN:
(纸本)0769524958
Multi-database mining has attracted a lot of attention because it is an important research topic for large companies that have many branches to generate powerful insights that lead to benefits. However it is difficult for existing algorithm to generate both global and local patterns and compare interestingness of patterns because there is no unified measures in datamining area. this paper proposes a method of equating interestingness of patterns for extracting and comparing both global and local patterns via unified measure Latent trait based on Graded Response theory.
the Morphology of graphite is a decisive factor that affects the performance of the nodular cast iron. In this paper, the basic types of graphite morphology in the nodular cast iron are introduced. the morphological f...
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ISBN:
(纸本)0780390911
the Morphology of graphite is a decisive factor that affects the performance of the nodular cast iron. In this paper, the basic types of graphite morphology in the nodular cast iron are introduced. the morphological features used in the recognition are defined. During the establishment of fuzzy recognition system, we apply the evolution strategy to computing weight coefficient of every feature. the results of experiment show that the method can effectively recognize the graphite with types of morphology in the nodular cast iron.
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