Colleen Mc Cue - "Data Mining and Predictive Analysis" - Elsevier, 2007C. McCue, Data Mining and Predictive Analysis (Butterworth-Heineman, Burlington, MA, 2007).McCue C (2007) Data Mining and Predictive Analysi
Implement a simple step-by-step process for predicting an outcome or discovering hidden relationships from the data using RapidMiner, an open source GUI based data mining tool Predictive analytics and Data Mining techniques covered: Exploratory Data Analysis, Visualization, Decision trees, Rule induction...
Data mining and predictive analytics are sometimes confused with each other or rolled together, but they are two distinct specialties. As you examine the big data your company collects, it’s important you understand the differences between data mining and predictive analytics, the unique benefits o...
using small data sets, so readers can gain an insight into the inner workings of the method under review. Chapters provide readers with hands-on analysis problems, representing an opportunity for readers to apply their newly-acquired data mining expertise to solving real problems using large, real...
3 put predictive analytics into action learn the basics of predictive analysis and data mining through an easy to understand conceptual framework and immediately practice the concepts learned using the open source rapidminer tool. whether you are brand new to data mining or working on your tenth ...
Regression analysis estimates relationships among variables. Intended for continuous data that can be assumed to follow a normal distribution, it finds key patterns in large data sets and is often used to determine how much specific factors, such as the price, influence the movement of an asset....
association rules, clustering, neural networks, logistic regression, and multivariate analysis. Chapters provide readers with hands-on analysis problems, representing an opportunity for readers to apply their newly-acquired data mining expertise to solving real problems using large, real-world data sets....
Predictive modeling requires a team approach. You need people who understand the business problem to be solved. Someone who knows how to prepare data for analysis. Someone who can build and refine the models. Someone in IT to ensure that you have the right analytics infrastructure for model bui...
churn predictions can enable sales teams to identify dissatisfied clients sooner, enabling them to initiate conversations to promote retention. Marketing teams can leverage predictive data analysis for cross-sell strategies, and this commonly manifests itself through a recommendation engine on a brand’s...
Marketing teams can leverage predictive data analysis for cross-sell strategies and this commonly manifests itself through a recommendation engine on a brand’s website. Supply chain: Businesses commonly use predictive analytics to manage product inventory and set pricing strategies. This type of ...