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Grouping: Grouping data is another essential part of many data mining projects. It can assist in preparing the data, as well as in segmenting a data set. Clustering is a exible approach to grouping observations, and a variety of clustering techniques have been implemented in the Traceis software. Other grouping methods are available in the software, including a technique called associative rules, which groups observations and then identi es if . . . then . . . rules concerning the data. For example, if customers buy product A and product B, then they generally buy product D as well. Another tool is the decision tree. The decision tree method is effective for grouping observations into a hierarchical tree. At each branch of the tree, the observations are divided into subsets based on speci c criteria, such as customers who buy product A. This division is guided using a variable of interest, such as the pro t associated with a particular customer. In this example, customers are divided into pro table or not pro table groups, based on products they purchased. Table B.1 summarizes the grouping methods contained in the Traceis software. Prediction: The use of historical information to make future decisions is the focus of prediction. A variety of methods have been implemented, as shown in Table B.1, to build prediction models. These methods work in a variety of situations; for example, some methods only predict continuous variables, while other methods predict binary data.

The RowOfLargest function accepts a column number (1 through 256) for its argument, and returns the row number of the largest value in that column. It starts by getting a count of the number of rows in the worksheet (this varies, depending on the version of Excel). This number is assigned to the NumRows variable. The maximum value in the column is calculated by using Excel s MAX function, and this value is assigned to the MaxVal variable. The For-Next loop checks each cell in the column. When the cell equal to MaxVal is found, the row number (variable r, the loop counter) is assigned to the function s name and the Exit For statement ends the procedure. Without the Exit For statement, the loop continues to check all cells in the column which can take quite a long time! The previous examples use relatively simple loops. But you can have any number of statements in the loop, and you can even nest For-Next loops inside other For-Next loops. The following is VBA code that uses nested For-Next loops to initialize a 10 10 10 array with the value -1. When the three loops finish executing, each of the 1,000 elements in MyArray contains -1.

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The colors available in the Format Cells dialog box are the 56 colors in the workbook s color palette. If none of these colors is satisfactory, you can modify the workbook s color palette. To do so, select Tools Options, and click the Color tab in the Options dialog box. Select a color and click the Modify button to change the color. But exercise caution, because changing a color may affect other color formatting in your workbook.

{=FREQUENCY(Data,G2:G10)/COUNT(Data)}

Specifying a Single Criterion . . . . . . . . . . . . . . . . . . . . . . . . . . . . 249 Specifying Multiple Criteria . . . . . . . . . . . . . . . . . . . . . . . . . . . . 253 Specifying Computed Criteria . . . . . . . . . . . . . . . . . . . . . . . . . . . 255

Area Electric Power System (Grid)

Figure 6.5 Trade-off between first-generation (FG), single-hop (SH), and multihop (MH) WDM ring design.

A text-to-speech converter can read this document, providing the following voice message summary:

The following two sections look at those two different ways of services implementation and walk through the programming steps required.

Next, we add content to the SOAPBody using SOAPBodyElement objects, and a new SOAPBodyElement object is created and initialized with the specified Name object:

identify it to the br command line. To do that, add a -x option. For example, to use the second serial port (COM2), add -x /dev/ttyS1 to the br command lines shown following. Here are some examples of the br command.

Although a SERIES formula can refer to data in other worksheets, the data for a series must reside on a single sheet. The following SERIES formula, for example, is not valid because the data series references two different worksheets:

c. R1=R2=F d. R1+ R2=(CH2)2

i =1

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John Marsteller, A Philosophy of Light: Recalling Richard Kelly s Three Functional Elements, Interior Design February 1987: 78 80. 17

{=LEN(A1)+1-MATCH( ,MID(A1,C1:C12,1),0)}

If we take the limit of (13.7), allowing the j s to tend to zero, we get dF(t , T ) =

It is important to emphasize that each type of fuel cell has a different internal reaction, as illustrated in Figure 7.4. 7.4.1 Low- and High-Temperature Fuel Cells

Function Square(cell as Range) Dim CellValue as Double CellValue = cell.Range( A1 ).Value Square = CellValue ^ 2 End Function

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6,7-tetramethoxy avone, isokaempferide, kaempferol, kaempferol-6-methoxy3-O-b-D-glucoside, luteolin, luteolin-7-methyl ether, pachypodol, patuletin, patuletin-3-O-b-D-glucoside, penduletin, quercetagetin-30 ,40 ,6,7-tetramethyl ether, quercetagetin-3,40 -dimethyl ether, quercetagetin-3,6-dimethyl ether, quercetagetin-4,60 ,7-trimethyl ether, quercetagetin-40 -methyl ether, quercetin, quercetin-30 O-b-D-glucoside, quercetin-3-methyl ether, quercimeritrin, isoquercitrin, retusin, rhamnentin, rutin, and tamarixetin. About seven commonly occurring coumarins were found in A. annua, namely scopoletin, scopolin, aesculetin, 6,8-dimethoxy-7-hydroxy coumarin, 5,6dimethoxy-7-hydroxy coumarin, tomentin, and coumarin.66,82 84

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