{"product_id":"predictive-data-mining-models-computational-risk-management-1","title":"Predictive Data Mining Models (Computational Risk Management)","description":"\u003cp data-start=\"0\" data-end=\"16\"\u003e\u003cstrong data-start=\"0\" data-end=\"16\"\u003eBook Details\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-start=\"18\" data-end=\"316\"\u003e\n\u003cli data-start=\"18\" data-end=\"45\"\u003e\n\u003cp data-start=\"20\" data-end=\"45\"\u003e\u003cstrong data-start=\"20\" data-end=\"30\"\u003eAuthor\u003c\/strong\u003e: Wu, Desheng\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"46\" data-end=\"69\"\u003e\n\u003cp data-start=\"48\" data-end=\"69\"\u003e\u003cstrong data-start=\"48\" data-end=\"57\"\u003eBrand\u003c\/strong\u003e: Springer\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"70\" data-end=\"99\"\u003e\n\u003cp data-start=\"72\" data-end=\"99\"\u003e\u003cstrong data-start=\"72\" data-end=\"83\"\u003eEdition\u003c\/strong\u003e: 2nd ed. 2020\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"100\" data-end=\"126\"\u003e\n\u003cp data-start=\"102\" data-end=\"126\"\u003e\u003cstrong data-start=\"102\" data-end=\"113\"\u003eBinding\u003c\/strong\u003e: Paperback\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"150\" data-end=\"178\"\u003e\n\u003cp data-start=\"152\" data-end=\"178\"\u003e\u003cstrong data-start=\"152\" data-end=\"171\"\u003eNumber of Pages\u003c\/strong\u003e: 125\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"179\" data-end=\"211\"\u003e\n\u003cp data-start=\"181\" data-end=\"211\"\u003e\u003cstrong data-start=\"181\" data-end=\"197\"\u003eRelease Date\u003c\/strong\u003e: 21-08-2020\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"212\" data-end=\"238\"\u003e\n\u003cp data-start=\"214\" data-end=\"238\"\u003e\u003cstrong data-start=\"214\" data-end=\"221\"\u003eEAN\u003c\/strong\u003e: 9789811396663\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"239\" data-end=\"289\"\u003e\n\u003cp data-start=\"241\" data-end=\"289\"\u003e\u003cstrong data-start=\"241\" data-end=\"263\"\u003ePackage Dimensions\u003c\/strong\u003e: 9.3 x 6.1 x 0.3 inches\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"290\" data-end=\"316\"\u003e\n\u003cp data-start=\"292\" data-end=\"316\"\u003e\u003cstrong data-start=\"292\" data-end=\"305\"\u003eLanguages\u003c\/strong\u003e: English\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-start=\"318\" data-end=\"685\"\u003e\u003cstrong data-start=\"318\" data-end=\"336\"\u003eAbout The Book\u003c\/strong\u003e\u003cbr data-start=\"336\" data-end=\"339\"\u003eThis book offers a comprehensive overview of predictive methods in knowledge management, demonstrated using open-source software modeling tools like Rattle (R’) and WEKA. Knowledge management is examined in the context of human knowledge (epistemology), technological advances, and big data, focusing on both the collection and analysis of data.\u003c\/p\u003e\n\u003cp data-start=\"687\" data-end=\"737\"\u003eThe book identifies three types of analytic tools:\u003c\/p\u003e\n\u003cul data-start=\"738\" data-end=\"1032\"\u003e\n\u003cli data-start=\"738\" data-end=\"799\"\u003e\n\u003cp data-start=\"740\" data-end=\"799\"\u003e\u003cstrong data-start=\"740\" data-end=\"765\"\u003eDescriptive Analytics\u003c\/strong\u003e: Provides reports on past events.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"800\" data-end=\"930\"\u003e\n\u003cp data-start=\"802\" data-end=\"930\"\u003e\u003cstrong data-start=\"802\" data-end=\"826\"\u003ePredictive Analytics\u003c\/strong\u003e: Utilizes statistical and AI techniques to forecast future outcomes, including classification modeling.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"931\" data-end=\"1032\"\u003e\n\u003cp data-start=\"933\" data-end=\"1032\"\u003e\u003cstrong data-start=\"933\" data-end=\"959\"\u003ePrescriptive Analytics\u003c\/strong\u003e: Uses quantitative models to optimize systems and identify improvements.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-start=\"1034\" data-end=\"1302\"\u003eFocusing on prescriptive analytics, the second edition of this book has been updated to include more examples related to big data, enhanced coverage of visualization techniques, clarification of concepts, and a deeper dive into association rules and cluster analysis.\u003c\/p\u003e\n\u003cp data-start=\"1304\" data-end=\"1323\"\u003eThe chapters cover:\u003c\/p\u003e\n\u003cul data-start=\"1324\" data-end=\"1759\"\u003e\n\u003cli data-start=\"1324\" data-end=\"1374\"\u003e\n\u003cp data-start=\"1326\" data-end=\"1374\"\u003e\u003cstrong data-start=\"1326\" data-end=\"1339\"\u003eChapter 1\u003c\/strong\u003e: Overview of knowledge management.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1375\" data-end=\"1409\"\u003e\n\u003cp data-start=\"1377\" data-end=\"1409\"\u003e\u003cstrong data-start=\"1377\" data-end=\"1390\"\u003eChapter 2\u003c\/strong\u003e: Basic data types.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1410\" data-end=\"1454\"\u003e\n\u003cp data-start=\"1412\" data-end=\"1454\"\u003e\u003cstrong data-start=\"1412\" data-end=\"1425\"\u003eChapter 3\u003c\/strong\u003e: Time series modeling tools.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1455\" data-end=\"1501\"\u003e\n\u003cp data-start=\"1457\" data-end=\"1501\"\u003e\u003cstrong data-start=\"1457\" data-end=\"1470\"\u003eChapter 4\u003c\/strong\u003e: Multiple regression modeling.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1502\" data-end=\"1544\"\u003e\n\u003cp data-start=\"1504\" data-end=\"1544\"\u003e\u003cstrong data-start=\"1504\" data-end=\"1517\"\u003eChapter 5\u003c\/strong\u003e: Regression tree modeling.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1545\" data-end=\"1635\"\u003e\n\u003cp data-start=\"1547\" data-end=\"1635\"\u003e\u003cstrong data-start=\"1547\" data-end=\"1560\"\u003eChapter 6\u003c\/strong\u003e: Autoregressive\/integrated\/moving average (ARIMA) models and GARCH models.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1636\" data-end=\"1759\"\u003e\n\u003cp data-start=\"1638\" data-end=\"1759\"\u003e\u003cstrong data-start=\"1638\" data-end=\"1651\"\u003eChapter 7\u003c\/strong\u003e: Data mining tools used in classification, including support vector machines, random forests, and boosting.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-start=\"1761\" data-end=\"1992\"\u003eBusiness-related data sets and software are used to demonstrate these methods. The book aims to provide clear, descriptive explanations of each method, making it accessible to readers with varying levels of experience in analytics.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":49905730683184,"sku":"Sarat_9789811396663","price":6720.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0690\/9968\/4144\/files\/springer-book-default-title-predictive-data-mining-models-computational-risk-management-41195468914992.jpg?v=1775963512","url":"https:\/\/www.retailmaharaj.com\/products\/predictive-data-mining-models-computational-risk-management-1","provider":"Retail Maharaj","version":"1.0","type":"link"}