algorithms and data mining. Often the unknown event of interest is in the future, but predictive analytics can be applied to any type of unknown whether it be in the past, present or...
Data Science and Predictive Analytics: Biomedical and Health Applications using R Author Ivo... Longitudinal Data Analysis Natural Language Processing/Text Mining Prediction and Internal...
Learn how data mining and predictive analytics can help merchant services understand and influence customer needs, preferences, and behaviors, and increase their profitability and satisfaction.
서명 / 저자 : Data mining and predictive analytics / Daniel T. Larose, Chantal D. Larose. 저자명 : Larose, Daniel T. Larose, Chantal D. 발행사항 : Hoboken, New Jersey : John Wiley & Sons Inc., c2015.
Master predictive modeling and data mining using SAS Enterprise Miner.
At the end of the course, learners will be able to conduct: Predictive modeling & Forecasting · Trend & Regression analysis · Clustering and pattern analysis · Market basket analysis · R script integration · Predictive Model Markup Language (PMML) integration · Data classification · Time series analysis · Decision tree analysis
Understand how predictive analytics and data mining work together to make sense of your factory’s data. Learn more.
Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner®, Third Edition presents an applied approach to data mining and predictive analytics with clear...
Unlock business foresight with predictive analytics using the latest data mining technology for strategic decision-making.
Predictive Analytics and Data Mining Paperback 종이책 45,000원 원서/번역서 25,000원 Vijay Kotu 저자(글) Morgan Kaufmann · 2015년 04월 07일 출시 0.0 (0개의 리뷰) 평가된 감성태그가 없습니다 01 02 무료배송 소득공제...