data mining and the use of standard computer programs.data mining and predictive analysisoffers a clear, practical starting point for professionals who need to use data mining in homeland security, security analysis, and operational law enforcement settings.this revised text highlights new and emerging...
Copyright - Data Mining and Predictive Analysis (Second Edition)ELSEVIERData Mining & Predictive Analysis
It is now possible to predict the future when it comes to crime. InData Mining and Predictive Analysis, Dr. Colleen McCue describes not only the possibilities for data mining to assist law enforcement professionals, but also provides real-world examples showing how data mining has identified crime...
Data mining and predictive analytics 2025 pdf epub mobi 电子书 图书描述 Learn methods of data analysis and their application to real-world data sets This updated second edition serves as an introduction to data mining methods and models, including association rules, clustering, neural networks, logis...
Predictive Models mL (pH7[..匪七..]) Data & Info: Theory (神马蚁) 谁读这本书? ··· Gaia 2015年6月4日 读过 > 1人读过 > 1人想读 二手市场 ··· 在豆瓣转让 有1人想读,手里有一本闲着? 订阅关于Data Mining and Predictive Analysis的评论: feed: rss 2.0© 2005-2025 ...
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 ...
Data Mining and Predictive Analysis McCue C (2007) Data Mining and Predictive Analysis. Intelligence Gathering and Crime Analysis. Burlington/Oxford: Elsevier.McCue C.Data Mining and Predictive... C Mccue 被引量: 58发表: 2007年 Connecting the Dots: Data Mining and Predictive Analytics in Law Enf...
Data mining uses algorithms and various other techniques to convert large collections of data into useful output. The most popular types of data mining techniques include association rules, classification, clustering, decision trees, K-Nearest Neighbor, neural networks, and predictive analysis. ...
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 project...
Predictive analytics and Data Mining techniques covered: Exploratory Data Analysis, Visualization, Decision trees, Rule induction, k-Nearest Neighbors, Naïve Bayesian, Artificial Neural Networks, Support Vector machines, Ensemble models, Bagging, Boosting, Random Forests, Linear regression, Logistic regress...