# Электронная книга: Daniel Larose T. «Data Mining and Predictive Analytics»

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, logistic regression, and multivariate analysis. The authors apply a unified“white box” approach to data mining methods and models. This approach is designed to walk readers through the operations and nuances of the various methods, 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-world data sets. Data Mining and Predictive Analytics, Second Edition: Offers comprehensive coverage of association rules, clustering, neural networks, logistic regression, multivariate analysis, and R statistical programming language Features over 750 chapter exercises, allowing readers to assess their understanding of the new material Provides a detailed case study that brings together the lessons learned in the book Includes access to the companion website, www.dataminingconsultant.com, with exclusive password-protected instructor content Data Mining and Predictive Analytics, Second Edition will appeal to computer science and statistic students, as well as students in MBA programs, and chief executives. Издательство: "John Wiley&Sons Limited"
ISBN: 9781118868676 электронная книга Купить за 10810.32 руб и скачать на Litres |

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Discovering Knowledge in Data. An Introduction to Data Mining | The field of data mining lies at the confluence of predictive analytics, statistical analysis, and business intelligence. Due to the ever-increasing complexity and size of data sets and the wide… — John Wiley&Sons Limited, электронная книга Подробнее... | электронная книга |

### Look at other dictionaries:

**Data mining**— Not to be confused with analytics, information extraction, or data analysis. Data mining (the analysis step of the knowledge discovery in databases process,[1] or KDD), a relatively young and interdisciplinary field of computer science[2][3] is… … Wikipedia**Predictive analytics**— encompasses a variety of techniques from statistics and data mining that analyze current and historical data to make predictions about future events. Such predictions rarely take the form of absolute statements, and are more likely to be… … Wikipedia**Oracle Data Mining**— (ODM) is an option of Oracle Corporation s Relational Database Management System (RDBMS) Enterprise Edition (EE). It contains several data mining and data analysis algorithms for classification, prediction, regression, classification,… … Wikipedia**Java Data Mining**— (JDM) is a standard Java API for developing data mining applications and tools. JDM defines an object model and Java API for data mining objects and processes. JDM enables applications to integrate data mining technology for developing predictive … Wikipedia**Data analysis**— Analysis of data is a process of inspecting, cleaning, transforming, and modeling data with the goal of highlighting useful information, suggesting conclusions, and supporting decision making. Data analysis has multiple facets and approaches,… … Wikipedia**Data dredging**— (data fishing, data snooping) is the inappropriate (sometimes deliberately so) use of data mining to uncover misleading relationships in data. Data snooping bias is a form of statistical bias that arises from this misuse of statistics. Any… … Wikipedia**Predictive modelling**— is the process by which a model is created or chosen to try to best predict the probability of an outcome. In many cases the model is chosen on the basis of detection theory to try to guess the probability of a signal given a set amount of input… … Wikipedia**Data fusion**— Data fusion, is generally defined as the use of techniques that combine data from multiple sources and gather that information into discrete, actionable items in order to achieve inferences, which will be more efficient and narrowly tailored than … Wikipedia**Predictive Model Markup Language**— The Predictive Model Markup Language (PMML) is an XML based language developed by the Data Mining Group (DMG) which provides a way for applications to define statistical and data mining models and to share models between PMML compliant… … Wikipedia**Analytics**— The simplest definition of Analytics is the science of analysis . A simple and practical definition, however, would be how an entity(i.e., business) arrives at an optimal or realistic decision based on existing data. Business managers may choose… … Wikipedia**Text analytics**— The term text analytics describes a set of linguistic, lexical, pattern recognition,extraction, tagging/structuring, visualization, and predictive techniques. The termalso describes processes that apply these techniques, whether independently or… … Wikipedia