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The initial page is index.jsp, which presents three choices of actions to the user. The actions are accessed by the user via buttons that will be presented in the Web pages generated by the JSP. Figure 14.2 shows the initial application screen. The user is presented with three choices: log in by completing the form with a login ID and password, register a new account, or click the About button. The connection to the about action is shown on the side to help make the illustration of the primary paths through the application clearer. Once logged in, the user is presented with the main page where the user may update his or her profile or click the About button. Later, additional choices will be added here to allow the user to list classmates and sign up for events.

11

Preparing data: Having identi ed a data set to mine, the preparation of the data is often one of the most time-consuming aspects of any data mining project. Understanding what types of data are contained in the data set is important; after obtaining a sense of the data, cleaning, transforming, and appropriately reducing the number of variables and observations helps ensure that the set is ready for any subsequent analysis. Preparing the data helps develop a more thorough understanding of the data. The Traceis software contains tools for loading, cleaning, understanding, and reducing the number of observations and variables, as shown in Table B.1. Tables and graphs: Visualizing the data can help in preparing the data, to identify patterns and trends, as well as understanding the results of any analysis. Tables and graphs are critical tools for use throughout any data mining project. Table B.1 summarizes the types of data visualization tools included in the software. The software contains a variety of visualization tools. For instance, it includes tools for creating contingency tables that display frequency data. With the software, summary tables that present information on groups of observations are also available. Finally, the software has tools for creating interactive graphs (histograms, frequency polygrams, scatterplots, and box plots) that can be displayed in any order, and it includes tools for combining any number of these possibilities. Statistics: Statistics play an important role throughout all data mining projects. The software assists in describing the variables in the data set. It also enables

4. Create a SOAP request call:

10 5 3 19(RS)

>>>issubclass(classB, My_Class_B) Traceback (most recent call last): File <pyshell#53> , line 1, in issubclass(classB, My_Class_B) TypeError: issubclass() arg 1 must be a class

chemical synthesis and biosynthesis of, 202 206 cyclic voltammetry study of, 238 degradation in alkaline medium, 201 dimers and trimers of, 219 221 discovery of, 184 187, 188 free radical reaction with Fe(II), 225 230 immunopharmacological action of, 224 interaction with amino acid, peptides, and proteins, 235 237 interaction with cysteine, 235 236 interaction with DNA, 232 235 interaction with heme, 237 isotopic-labeled, 206 lactone of, 198 3-methyl-derivatives of, 232 modi cation on C-12 of, 207 212 partial and total synthesis of, 202 204 pharmacology and chemical biology of, 221 238 pyrolysis of, 201 reactions of, 197 202 reduction of, 198 199 reduction with sodium borohydride, 199 structure determination of, 184 187 Qinghaosu acid, 209 Qinghaosu analogs, 1,2,4-trioxanes and 1,2,4,5tetraoxanes as, 221 Qinghaosu compounds, reaction with ferrous ion, 230 Qinghaosu derivatives, 183, 206 221 antimalarial activity of, 221 222 antiparasitic activity of, 222 223 antitumor activity of, 223 bioactivities of, 221 224 containing basic substituent, 214 containing the carboxyl group, 213 214 immunosuppressive and immunostimulating activities of, 224 lipophilic property of, 238 steroidal, 218 219 treatment with ferrous sulfate, 225 water-soluble, 212 214 Qinghaosu molecule, tandem peroxy, ketal, acetal, and lactone groups in, 198 Quantitative SAR (QSAR) studies, 358 ( )-Quinine catalyzed intramolecular oxoMichael addition (IMA), 343 total synthesis of ( )-calanolide A using, 343 347 Quinone-acetogenin hybrids, 435 436 inhibitory activity of, 437 Quinone-mucocin hybrid, 435, 436 Quinone-squamocin D hybrid, 435, 436

Template-based tracking consists of using all of the surface information from a textured object as a global feature for matching. When the appearance model is represented by a texture map (Fig. 2.17), it can be rendered from any viewpoint and compared directly with the underlying image pixels. This is a pixellevel measurement that exploits the largest amount of information available. However, it may also result in a high computational complexity, which usually involves computing the Jacobian images for each parameter (for example, in a Gauss Newton optimization), which in turn requires a back-projection of all visible pixels onto the object surface.8 For two-dimensional models, speed-up