accessory tools for doing data mining
Advanced Methods and Tools for ECG Data Analysis - Part 1 ppt
... Editors For a listing of recent related Artech House titles, turn to the back of this book P1: Shashi August 24, 2006 11:32 Chan-Horizon Azuaje˙Book Advanced Methods and Tools for ECG Data Analysis ... techniques for supervised classification and hybrid techniques for classifying ECG metrics, where the data labels are already known, and Chapter 13 presents unsupervised learning techniques for ECG ... Cataloging-in-Publication Data A catalog record for this book is available from this U.S Library of Congress British Library Cataloguing in Publication Data A catalogue record for this book is available from...
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Advanced Methods and Tools for ECG Data Analysis - Part 2 doc
... sufficient for the signal processing tasks Data formats: When storing data, it is important to use an accurate and verifiable data format (at each step) If data are to be converted to another format, ... when choosing a data format and access libraries include: • • • • • • • • • • • • • What are the data going to be used for? Are the data format and libraries extensible? Is the data format compact? ... metrics See Schneider [33] for more information on libRASCH 2.4 Database Analysis−−An Example Using WFDB Before performing any data collection, or more frequently during data collection, it is important...
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Advanced Methods and Tools for ECG Data Analysis - Part 3 docx
... Center for Economic Research, 2004, available at http://ideas.repec.org/p/dgr/kubcen/200446.html Brown, M L., and J F Kros, “The Impact of Missing Data on Data Mining, ” in John Wang, (ed.), Data Mining: ... Missing Data 3.7.5.1 A Note on Spectral Leakage and Window Carpentry The periodogram for unevenly spaced data allows two different forms of spectral adjustment: the application of time-domain (data) ... Variability,” Ph.D dissertation, University of Oxford, 2002 Clifford, G D., F Azuaje, and P E McSharry, “Advanced Tools for ECG Analysis,” http://www.ecgtools.org/ Press, W H., et al., Numerical Recipes...
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Advanced Methods and Tools for ECG Data Analysis - Part 4 ppsx
... downsampling, for instance), information is often lost and the transformation is not invertible In general, lossy transformations involve a noninvertible transformation of data using a transformation ... correspond to the noise In general, transforms can be categorized as orthogonal or biorthogonal transformations For orthogonal transformations, the transformed signal is the same 135 P1: Shashi ... considered For normally distributed time series, semivariograms provide accurate estimates for 1.2 < β < 2.5, rescaled range for 0.0 < β < 0.8, DFA for −0.8 < β < 2.2, and power spectra and wavelets for...
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Advanced Methods and Tools for ECG Data Analysis - Part 5 pdf
... wavelets (except for the Haar wavelet) Therefore, bior 3.3 is a good choice for a general ECG filter It should be noted that the filtering performance of each wavelet will be different for different ... transformation of data onto a set of axes which are not necessarily orthogonal Both PCA and ICA can be used to perform lossy or lossless transformations by multiplying the recorded (observation) data ... inputs and outputs; the target data vector is simply the input data vector Therefore, no labeling of training data is required An auto-associative neural network performs dimensionality reduction...
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Advanced Methods and Tools for ECG Data Analysis - Part 6 docx
... frequency and it therefore has a bandpass filtering effect leading to a lossy transformation of the data into a set of integrable Gaussians distributed over time This approach could therefore be used ... sufficient for TWA analysis Some time-domain analyses for TWA found essentially identical results for sampling frequencies of 250 to 1,000 Hz, with only slight deterioration with 100-Hz sampling [46] For ... evaluate and compare the performance of the EDR algorithms, the derived respiratory information should be compared to respiratory information simultaneously recorded Performance measurements may...
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Advanced Methods and Tools for ECG Data Analysis - Part 7 ppt
... is not found, the procedure searches forwards in each ECG lead for up to TJ = 68 ms for a part of the waveform which “starts to flatten” (i.e., a part of waveform where slope became smaller than ... events which are visually informative and accessible for analysis at any time instant Therefore, a technique which converts such point event series into a form suitable for standard analysis techniques ... successfully used in [28] The procedure searches forwards in each lead from the FP(j) for up to TS = 32 ms for a sample, where the slope of the waveform equals zero or changes sign This is usually...
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Advanced Methods and Tools for ECG Data Analysis - Part 8 docx
... waveform in the data set Therefore, we chose to distribute the waveforms at random among the different experts (such that each waveform was measured by one expert only) For each ECG waveform, ... learn a model for ECG segmentation from expert annotated ECG data Such data- driven learning allows us to sidestep neatly the problem of having to specify an explicit rule for determining the end ... the data This particular formulation offers an attractive framework for ECG signal modeling, since it allows each of the ECG waveform features (i.e., P wave, QRS complex, T wave, and so forth)...
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Advanced Methods and Tools for ECG Data Analysis - Part 9 ppsx
... duration (in samples) for a T wave Such values can be estimated in practice by examining the durations of the waveform features for a large number of annotated ECG waveforms Once the duration ... different clinical classes This is, for example, observed in ECG waveforms contained in the MIT-BIH Arrhythmia Database [9] In this database there are ECG waveforms of 12 types of abnormal beats: ... orthonormal basis for signal analysis The DWT is therefore most suited to applications such as data compression where a compact description of a signal is required An alternative transform is derived...
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Advanced Methods and Tools for ECG Data Analysis - Part 10 pps
... Toolbox automatically selects the map size for each data set In this example: 23 × 16 neurons for the ECG beat data set, and 28 × neurons for the sleep apnea data set The U-matrices are shown in Figures ... (XML) for representing ECG information ecgML [65], a markup language for ECG data acquisition and analysis, has been designed to illustrate the advantages offered by XML for supporting data exchange ... between different ECG data acquisition and analysis devices Such representation approaches may facilitate data mining using heterogeneous software platforms The data and metadata contained in an...
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Data Preparation for Data Mining- P3
... the data set for mining to best expose the information contained in it to the mining tool Indeed, the whole purpose for mining data is to transform the information content of a data set that ... transforming information The concept of information is crucial to data mining It is the very substance enfolded within a data set for which the data set is being mined It is the reason to prepare the data ... Transformations and Difficulties—Variables, Data, and Information Much of this discussion has pivoted on information—information in a data set, information content of various scales, and transforming...
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Data Preparation for Data Mining- P4
... bias Determining data structure Building the PIE Surveying the data Modeling the data 3.3.1 Stage 1: Accessing the Data The starting point for any data preparation project is to locate the data This ... execution data is in its “raw” form, and the model works only with prepared data, it is necessary to transform the execution data in the same way that the training and test data were transformed ... preparation activities Data Issue: Representative Samples A perennial problem is determining how much data is needed for modeling One tenet of data mining is “all of the data, all of the time.”...
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Data Preparation for Data Mining- P5
... example of enhancing the data No external data is added, but the existing data is restructured to be more useful in a particular situation Another form of data enhancement is data multiplication When ... between variables also needs to be considered In every data mining application, the data set used for mining should have some underlying rationale for its use Each of the variables used should have ... original data set The data preparation software creates this variable and captures information about the missing value patterns For each pattern of missing values in the data set, the data preparation...
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Data Preparation for Data Mining- P6
... numerating the alphas, but also for conducting the data survey and for addressing various problems and issues in data mining Becoming comfortable with the concept of data existing in state space ... the data prepared for one tool should be useable by any other tool—and should give materially the same results with any tool that can handle the data Since all tools can handle numerical data ... standard deviation of the sample For large numbers of instances, which will usually be dealt with in data mining, the difference is miniscule.) There is another formula for finding the value of the...
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Data Preparation for Data Mining- P7
... 0.8769 Forward 0.4940 0.4923 Please purchase PDF Split-Merge on www.verypdf.com to remove this watermark Forward 0.6988 0.7692 Forward 0.4940 0.4462 Forward 0.6988 0.7538 Forward 0.4940 0.3231 Forward ... Zalapski Forward 37 Patrick Poulin Reserve 55 Igor Ulanov Forward 26 Martin Rucinsky Defense 43 Patrice Brisebois Forward 28 Marc Bureau Forward 27 Shayne Corson Defense 52 Craig Rivet Forward ... determining density just by looking at the number of points in a given area, particularly if in some places the given volume only has one data point, or even no data points, in it If enough data...
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Data Preparation for Data Mining- P8
... Translating the information discovered there into insights about the data, and the objects the data represents, forms an important part of the data survey in addition to its use in data preparation ... with putting data into the multitable structures called “normal form” in a database, data warehouse, or other data repository.) During the process of manipulation, as well as exposing information, ... a working data preparation computer program were also addressed In spite of the distance covered here, there remains much to to the data before it is fully prepared for surveying and mining Please...
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Data Preparation for Data Mining- P9
... least harm to the information content of the data set Yet it still leaves some information exposed for the mining tools to use when values outside those within the sample data set are encountered ... important for maximum information exposure, the individual variable distributions are transformed This transformation makes the between-variable information far more accessible to many modeling tools ... prepared data Instead of having to extract the gross nonlinearities, such tools can then focus on the fine structure immediately The object of data preparation is to expose the maximum information for...
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Tài liệu Data Preparation for Data Mining- P10 docx
... Series Data Series data differs from the forms of data so far discussed mainly in the way in which the data enfolds the information The main difference is that the ordering of the data carries information ... series data set so that it can be accurately and completely characterized Find methods for manipulating the unique features of series data to expose the information content to mining tools Series data ... technique Figure 9.11 Waterforms and their correlograms 9.4 Modeling Series Data Given these tools for describing series data, how they help with preparing the data for modeling? There are two...
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Tài liệu Data Preparation for Data Mining- P11 pdf
... transform accomplishes this The second transform subtracts the mean of the transformed variable from each transformed value, and divides the result by the standard deviation The formula for this ... transform accomplishes this The second transform subtracts the mean of the transformed variable from each transformed value, and divides the result by the standard deviation The formula for this ... to data, the demonstration software has no specific routines for preparing displacement series data Data visualization is a broad field in itself, and there are many highly powerful tools for...
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Tài liệu Data Preparation for Data Mining- P12 pptx
... than data preparation? Data preparation concentrates on transforming and adjusting variables’ values to ensure maximum information exposure Data surveying concentrates on examining a prepared data ... large for the mining tool the customer had selected, causing repeated mining software failures and system crashes during mining The data reduction methodology described above reduced the data ... nomenclature A function can be expressed as a formula, just as the formula for determining the value of the logistic function is For convenience, this whole formula can be taken as a given and represented...
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