Books by splitShops
Predictive Modeling with SAS Enterprise Miner: Practical Solutions for Business Applications, Third Edition - Hardcover
$142.49
In stock
Shipping charges, applicable taxes, the final order total, and available payment methods are shown during checkout before payment. Delivery timing varies by item and fulfillment origin. Standard U.S. returns are by mail for eligible new, unopened items within 30 days of carrier delivery. Customers pay standard return shipping; there is no restocking fee. Approved refunds are issued within 5 business days after the return is received and inspected. Standard exchanges are not offered.
Cindi Book items have a flat $9.99 shipping charge. Shopify Collective items use shipping rates set by the supplier. Orders containing items from different fulfillment sources may include more than one shipping charge. Your full shipping total is shown at checkout before payment.
Return eligibility is subject to the full policy. Opened, read, or unsealed books with broken seals or visible wear are final sale. Digital downloads, gift cards, and personalized products are non-refundable. Original shipping charges are not refunded for standard returns. Contact us within 7 days of delivery about damaged, defective, or incorrect items.
by Kattamuri S. Sarma (Author)
A step-by-step guide to predictive modeling!
Kattamuri Sarma's Predictive Modeling with SAS Enterprise Miner: Practical Solutions for Business Applications, Third Edition, will show you how to develop and test predictive models quickly using SAS Enterprise Miner. Using realistic data, the book explains complex methods in a simple and practical way to readers from different backgrounds and industries. Incorporating the latest version of Enterprise Miner, this third edition also expands the section on time series.
Written for business analysts, data scientists, statisticians, students, predictive modelers, and data miners, this comprehensive text provides examples that will strengthen your understanding of the essential concepts and methods of predictive modeling. Topics covered include logistic regression, regression, decision trees, neural networks, variable clustering, observation clustering, data imputation, binning, data exploration, variable selection, variable transformation, and much more, including analysis of textual data.
Develop predictive models quickly, learn how to test numerous models and compare the results, gain an in-depth understanding of predictive models and multivariate methods, and discover how to do in-depth analysis. Do it all with Predictive Modeling with SAS Enterprise Miner!
Author Biography
Kattamuri S. Sarma, PhD, is an economist and statistician with 30 years of experience in American business, including stints with IBM and AT&T. He is the founder and president of Ecostat Research Corp., a consulting firm specializing in predictive modeling and forecasting. Over the years, Dr. Sarma has developed predictive models for the banking, insurance, telecommunication, and technology industries. He has been a SAS user since 1992, and he has extensive experience with multivariate statistical methods, econometrics, decision trees, and data mining with neural networks. The author of numerous professional papers and publications, Dr. Sarma is a SAS Certified Professional and a SAS Alliance Partner. He received his bachelor's degree in mathematics and his master's degree in economic statistics from universities in India. Dr. Sarma received his PhD in economics from the University of Pennsylvania, where he worked under the supervision of Nobel Laureate Lawrence R. Klein.
Pay with
Available payment methods and your final total are shown at checkout before payment.
Clear Information Before You Order
Cindi Book is the trade name of Cindi Book LLC, a Texas-registered online-only retailer. We provide clear contact, shipping, return, and checkout information so customers can make informed purchasing decisions.
Business & Customer Care
Cindi Book LLC
2124 Cactus Ct, Keller, TX 76248
Administrative office only; no storefront or local pickup.
214-308-1733 · info@cindibook.com
Monday–Friday, 8:00 AM–5:00 PM CT
Shipping Transparency
Orders ship within the United States. Cindi Book branded titles typically arrive in 5–9 business days, including 0–2 business days of handling and 5–7 business days in transit. Supplier-fulfilled items typically arrive in 8–11 business days, including 1–3 business days of handling and 7–8 business days in transit. Business days are Monday–Friday, excluding U.S. federal holidays. Delivery estimates are not guarantees. Cindi Book items have a flat $9.99 shipping charge. Shopify Collective items use shipping rates set by the supplier. Orders containing items from different fulfillment sources may include more than one shipping charge. Your full shipping total is shown at checkout before payment.
Returns & Refunds
Standard U.S. returns are accepted for eligible new, unopened items within 30 days of carrier delivery. Returns are by mail. Customers are responsible for standard return shipping, there is no restocking fee, and standard exchanges are not offered. Once an approved return is received and inspected, the refund is issued to the original payment method within 5 business days. Damaged, defective, or incorrect items are handled at no return-shipping cost to the customer.
Return eligibility is subject to the full policy. Opened, read, or unsealed books with broken seals or visible wear are final sale. Digital downloads, gift cards, and personalized products are non-refundable. Original shipping charges are not refunded for standard returns. Contact us within 7 days of delivery about damaged, defective, or incorrect items.
Payment & Checkout
Checkout is processed securely through Shopify. Shipping charges, applicable taxes, the final order total, and available payment methods are shown before you submit payment.
Order Responsibility
Some items may ship from Cindi Book or U.S.-based publishing, manufacturing, or distribution suppliers that fulfill orders for Cindi Book. Cindi Book LLC remains the customer-service contact for order questions, delivery support, returns, and refunds.