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A serious drawback to this approach to categorizing data is the problem inherent in any kind of taxonomy: The world sometimes resists categorization For example, is a tomato a fruit or a vegetable What happens when we combine two document collections indexed in different ways Solutions are called ontology taxonomies Regular keyword searches approach a document collection where either a document contains a given word or it does not Latent semantic indexing adds an important step to the document indexing process In addition to recording which keywords a document contains, the method examines the document collection as a whole, to see which other documents contain some of those same words Latent semantic indexing was rst developed at Bellcore in the late 1980s and considers documents that have many words in common to be semantically close, and ones with few words in common to be semantically distant.

In some graphics programs, you can spin your mouse wheel to change the image s magnification. In others, you have to choose some option from the program s View menu, such as View

(10.123)

Although the LSI algorithm does not understand anything about what the words mean, it notices the patterns When you search an LSI-indexed database, the search engine looks at similarity values it has calculated for every content word, and returns the documents that it thinks best t the query Because two documents may be semantically very close even if they do not share a particular keyword, LSI does not require an exact match to return useful results Where a plain keyword search will fail if there is no exact match, LSI will often return relevant documents that do not contain the keyword at all..

which is the same as Eq. (6.51). Figure 6.7a shows that for an M/G/l system the mean number of jobs K increases linearly with increasing squared coefficient of variation, and that the rate of increase is very sensitive to the utilization. From Fig. 6.7b we see how dramatically the mean number of jobs K increases if the utilization approaches 1 and that this is especially the case if the squared coefficient of variation cg is large.

Sara Igo, associate professor of history, political science and sociology at Vanderbilt University contends that modern market research arrived in 1911 with the establishment of the Harvard Bureau of Business Research. Many soon-to-be great enterprises are in the late stages of initial experiments (i.e., are at the end of a beginning) involving a pronounced transformation in the relationship they have with their customers. For quite some time, technology has allowed retailers to stockpile mountains of data regarding purchases. To date, few have really done anything exceptional with this information. Most retail systems and retailers still do not recognize individual customers. They are clueless. 30 That is about to change. Analytics is driving this transformation. And analytics is changing.31 On February 5, 2003, the chief operating of cer of the Coca-Cola Company, Steve Heyer, took the stage at the Beverly Hills Hotel to kick off the inaugural AdAge Madison & Vine Conference. His keynote address was a marketing manifesto announcing an end to traditional marketing thinking at Coke. Heyer made special mention of consumer resistance, noting that consumers now have an unrivalled ability to avoid advertising. With smart consumers in command of the technology to edit or opt out of marketing, Heyer said that the time had come for transformational change.32

7.4 47.9

Then ri is the greatest common divisor of n1 and n2, denoted ri gcd n1 ; n2 . Euclid s algorithm has the following important and useful consequence.

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// Intercept the calls that this module (TESTHOOK) makes to // MessageBox() in USER32.DLL. The function that intercepts the // calls will be MyMessageBox(), above. PfnOriginalMessageBox = (MESSAGEBOXPROC) GetModuleHandle(0), "USER32.DLL", "MessageBoxA", (PROC)MyMessageBox); if ( !PfnOriginalMessageBox ) MessageBox(0, return 0; HookImportedFunction( // Hook our own module // MessageBox is in. USE32.DLL // Function to intercept. // Interception function.

The ribbon is divided into a number of groups, each containing any number of controls. The Sort and Filter group, for example, includes options for sorting a datasheet s contents in ascending or descending order, while the Find group contains commands for searching through records within the datasheet. The other groups on the ribbon Views, Clipboard, Records, Window, and Text Formatting contain controls that perform other tasks commonly associated with Access datasheets. For example, The View control in the Views group changes the Datasheet view of the table to Design view, making it easy to update the table s design.