<p><strong><font size="3"><span id="btAsinTitle">Applied Data Mining: Statistical Methods for Business and Industry (Statistics in Practice) </span></font></strong></p><p>by <a href="http://www.amazon.com/exec/obidos/search-handle-url?%5Fencoding=UTF8&search-type=ss&index=books&field-author=Paolo%20Giudici"><font color="#003399">Paolo Giudici</font></a> (Author) </p><span class="tiny"><font size="1"><div class="shadow"><div><div><img height="156" alt="Cover image for product 047084678X" src="http://media.wiley.com/product_data/coverImage/8X/04708467/047084678X.jpg" width="100"/></div></div></div><div class="productDetail-blowupImage"></div><div class="product-biblio"><div class="productDetail-biblio"><div class="productDetail-productCode"><font size="3"><strong>ISBN: 978-0-470-84678-0</strong></font></div><div class="productDetail-format"><font size="3"><strong>Hardcover</strong></font></div><div class="productDetail-pageCount"><font size="3"><strong>376 pages</strong></font></div><div class="productDetail-dateImprint"><font size="3"><strong>October 2003</strong></font></div></div></div><div class="productDetail-purchase"><table class="productDetail-purchasePriceBlock"><tbody><tr valign="top"><td class="productDetail-purchaseLabel"><strong>Wiley List Price: </strong></td><td class="productDetail-purchasePrice"><strong>US $180.00</strong></td></tr></tbody></table></div><p><strong><font size="4">下载书籍：</font></strong></p></font></span><strong><font size="4">下载书籍：</font></strong><p></p><p> </p><p></p><div class="productDetail-richDataText">Preface. <p>1. Introduction. </p><p>PART I: METHODOLOGY. </p><p>2. Organisation of the data. </p><p>3. Exploratory data analysis. </p><p>4. Computational data mining. </p><p>5. Statistical data mining. </p><p>6. Evaluation of data mining methods. </p><p>PART II: BUSINESS CASES. </p><p>7. Market basket analysis. </p><p>8. Web clickstream analysis. </p><p>9. Profiling website visitors. </p><p>10. Customer relationship management. </p><p>11. Credit scoring. </p><p>12. Forecasting television audience. </p><p>Bibliography. </p><p>Index. <br/></p></div>

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