data storage memory ppt
Tài liệu Module 4: Designing a User Data Management Strategy pptx
... Designing a User Data Management Strategy 3 Determining Current User Data Environment ???What Is User Data? What Is User Data? ???Which User Data Is Currently Stored?Which User Data Is Currently ... aware of the current data storage characteristics. Consider the following issues when documenting your plan for managing users’ data: What is user data? User data is data that is created ... User Data Currently Stored?Where Is User Data Currently Stored????What Is the Current Use of Offline Data? What Is the Current Use of Offline Data? ???What Is the Current Use of Roaming Data? What...
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Tài liệu Module 5: Embedding XML Data in HTML pptx
... nature of a data island. ! Describe how to use Data Source Objects (DSO) to display XML data islands in an HTML page. ! Create an XML data island in an HTML file. ! Bind XML data to HTML ... 5: Embedding XML Data in HTML #### Using Data in Web Browsers !Delivering Data from the Web Server!Using Client-Side Data Source Objects (DSO)!Presentation vs. Data !Internet Explorer ... Objects, and DHTML data binding simplify data access and presentation on the Web. Slide Objective To introduce the concept of data access and data- aware Web pages. Lead-in Data access is now...
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Tài liệu CUSTOMER SATISFACTION USING DATA MINING TECHNIQUES ppt
... BASED DATA MINING TECHNIQUESThe objective of data mining is to extract valuable information from one’s data, to discover the ‘hiddengold’. In Decision Support Management terminology, data mining ... one search for patterns of information in data (Parsaye, 1997).Figure 2: Rule Induction process Data mining techniques are based on data retention and data distillation. Rule induction models ... rule induction data mining.Furthermore, it is examined whether the implementation of the two methodologies may offer a solutionto the problem of missing data, in the initial data set.KEYWORDS:...
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Tài liệu Microsoft Access 2007 Data Analysis P2 pptx
... limitation.This is not to say that Access has unlimited data storage capabilities. Every bitof data causes the Access database to grow in file size. An Access database hasa file size limitation of 2 gigabytes. ... will be stored. All other database objects will refer to the tables inyour database for data, whether asking questions of the data or creatingreports based on the data. This section covers ... querying data to get fast results, but it’s important tounderstand the basics of the relational database concept before poundingaway at data. A good understanding of how a relational database...
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Tài liệu A Concise Introduction to Data Compression- P2 ppt
... not reserve any memory space for them. As a child is added tothe node, memory space should be claimed for it. Recall that no nodes are ever deleted,so there is no need to reclaim memory space, ... the compressed data on a file, the variance of the codemakes no difference. A small-variance Huffman code is preferable only in cases wherethe encoder transmits the compressed data, as it is being ... watermark.2Huffman CodingHuffman coding is a popular method for compressing data with variable-length codes.Given a set of data symbols (an alphabet) and their frequencies of occurrence (or, equiv-alently,...
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Tài liệu A Concise Introduction to Data Compression- P3 pptx
... which makes it so useful in data compression,is that it takes correlated input data and concentrates its energy in just the first fewtransform coefficients. If the input data consists of correlated ... thequantized coefficients. This results in data items that are not identical to the originalones but are not much different.In practical applications, the data to be compressed is partitioned into ... as 3, 4, or 6 result in many small sets of data items.Such a small set is transformed to a small set of coefficients where the energy of theoriginal data is concentrated in a few coefficients, but...
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Tài liệu A Concise Introduction to Data Compression- P4 pptx
... for theentire 64-pixel data unit is the 46-bit number1111111111100111010001001101101110111010101010.These 46 bits encode one color component of the 64 pixels of a data unit. Let’s assumethat ... set of basis imagesthat have higher and higher frequencies. Given a data vector, the DCT separates thefrequencies in the data and represents the vector as a linear combination (or a weightedsum) ... This version of the DCT is applied to small parts (data blocks) of the image. It is computed by applying the DCT in one dimension to eachrow of a data block, then to each column of the result. Because...
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Tài liệu A Concise Introduction to Data Compression- P6 pptx
... between pixels, 8, 22, 65da Vinci, Leonardo (1452–1519), 178 data compression (approaches to), 21–58 data hiding (steganography), viii data structures, ix, 81, 273Daubechies, Ingrid (1954–), 199decoder, ... nine bits. Since the uncoded data requires just two bits (01 or 10),the compression ratio is 9/2=4.5 (the compressed data is 4.5 times bigger than theoriginal data; a significant expansion).Please ... Statistical data compression methods work by assigning variable-length codes to symbols in the data, with the shorter codes assigned to symbols orgroups of symbols that appear more often in the data...
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Tài liệu Statistical Description of Data part 9 pptx
... the values of the data. That means that we can doall the fitting in advance, for fictitious data consisting of all zeros except for a single 1, andthen do the fits on the real data just by taking ... noisy data. The premise of data smoothing is that one is measuring a variable that is both slowlyvarying and also corrupted by random noise. Then it can sometimes be useful to replaceeach data ... the FWHM of desired featuresin the data. (References[3]and[4]give additional practical hints.)Figure 14.8.2 shows the result of smoothing the same noisy data with broaderSavitzky-Golay...
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Tài liệu Modeling of Data part 1 pptx
... the data, then items (i) and (ii) are probably worthless.Unfortunately, many practitioners of parameter estimation never proceed beyonditem (i). They deem a fit acceptable if a graph of data ... particular data set of xi’s and yi’s, we have the intuitive feeling thatsome parameter sets a1 aMare very unlikely — those for which the modelfunction y(x) looks nothing like the data — ... Chapters 18–19.15.1 Least Squares as a Maximum LikelihoodEstimatorSuppose that we are fitting N data points (xi,yi)i=1, ,N, to a model thathas M adjustable parameters aj,j=1, ,M. The model...
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Tài liệu Modeling of Data part 4 pptx
... Calculate χ2.*q=1.0;if (mwt == 0) {for (i=1;i<=ndata;i++)*chi2 += SQR(y[i]-(*a)-(*b)*x[i]);sigdat=sqrt((*chi2)/(ndata-2)); For unweighted data evaluate typ-ical sig using chi2,andad-just ... *= sigdat;*sigb *= sigdat;} else {for (i=1;i<=ndata;i++)*chi2 += SQR((y[i]-(*a)-(*b)*x[i])/sig[i]);if (ndata>2) *q=gammq(0.5*(ndata-2),0.5*(*chi2)); Equation (15.2.12).}}CITED REFERENCES ... P.R. 1969, Data Reduction and Error Analysis for the Physical Sciences(New York:McGraw-Hill), Chapter 6.15.3 Straight-Line Data with Errors in BothCoordinatesIf experimental data are subject...
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Tài liệu Modeling Of Data part 7 pptx
... the actual data set DS(0), with its N data points, togenerate any number of synthetic data sets DS(1),DS(2), , also with N data points.The procedure is simply to draw N data points ... email to trade@cup.cam.ac.uk (outside North America).synthetic data set 1synthetic data set 2synthetic data set 3synthetic data set 4a2 χ2minχ2min(s)a1 (s)a3 (s)a4 ... email to trade@cup.cam.ac.uk (outside North America).actual data sethypothetical data sethypothetical data sethypothetical data seta3 a2 a1 fittedparameters a0χ2mintrue...
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Tài liệu Modeling Of Data part 8 pptx
... *arr,d,sum=0.0;arr=vector(1,ndatat);for (j=1;j<=ndatat;j++) arr[j]=yt[j]-b*xt[j];if (ndatat & 1) {aa=select((ndatat+1)>>1,ndatat,arr);}else {j=ndatat >> 1;aa=0.5*(select(j,ndatat,arr)+select(j+1,ndatat,arr));}abdevt=0.0;for ... trade@cup.cam.ac.uk (outside North America).*abdev=abdevt/ndata;}#include <math.h>#include "nrutil.h"#define EPS 1.0e-7extern int ndatat; Defined in medfit.extern float *xt,*yt,aa,abdevt;float ... both important: either fractionallysmall departures for all data points, or else fractionally large departures for a smallnumber of data points. It is the latter interpretation, leading to the...
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Tài liệu Data Preparation for Data Mining- P12 pptx
... needed function in the training data set, the function improves its fit with the test data too. When the function learned in the training data begins to fit the test data less well, training is ... density manifold stability. But here is where data preparation steps into the data survey. The data survey (Chapter 11) examines the data set as a whole from many different points of view. ... compress such data for modeling very effectively. Compression models of the process require data from both normal and abnormal operations, as well as careful automated monitoring of the data stream...
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Tài liệu Data Preparation for Data Mining- P13 pptx
... can be used to examine data as instances, data as variables, the data set as a whole, and various parts of a data set. Entropy and mutual information are used to evaluate data in many ways. Some ... cannot. Almost all real-world data sets are noisy, so the example data sets used here comprise noisy data approximating the two curves. Data set F (functional) contains the data for the curve that ... what the data “means” or predicts. The prepared data set still has to be used. How is this data used? The last two chapters look not at preparing data, but at surveying and using prepared data. ...
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