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Handbook of Statistical Analysis and Data Mining Applications

Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that;

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Statistical Data Mining Using SAS Applications

of user-friendly data mining SAS tools. Integrating the statistical and graphical analysis tools available in SAS systems, the book provides;

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Developing Econometrics

that benefit econometric practice. It deals with exploratory data analysis, a prerequisite to statistical modelling and part of data mining. It;

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Discovering Knowledge In Data

The field of data mining lies at the confluence of predictive analytics, statistical analysis, and business intelligence. Due to the ever;

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Text Analytics

analysis, corpus and quantitative linguistics, statistical and computational methods, and textual data in sociology, psychology, politics, law and;

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Handbook of Mixture Analysis

The book Handbook of Mixture Analysis is a collection of peer-reviewed articles featuring several statistical data analysis methods based;

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Data Fusion and Data Mining for Power System Monitoring

techniques for power system monitoring with focus on use of synchronized phasor networks. Relevant statistical data mining techniques are given, and;

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Data Fusion and Data Mining for Power System Monitoring

techniques for power system monitoring with focus on use of synchronized phasor networks. Relevant statistical data mining techniques are given, and;

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Handbook of Regression Analysis With Applications in R

Analysis with Applications in R, Second Edition is a comprehensive and up-to-date guide to conducting complex regressions in the R statistical;

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Contemporary Experimental Design, Multivariate Analysis and Data Mining

of important topics such as experimental design, multivariate analysis, data mining, hypothesis testing and statistical models.;

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Data Mining and Data Visualization

is divided into three sections. The first deals with an introduction to statistical aspects of data mining and machine learning and includes;

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R and Data Mining

, clustering, outlier detection, association rules, sequence analysis, text mining, social network analysis, sentiment analysis, and more. Data;

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Quantitative Medical Data Analysis Using Mathematical Tools And Statistical Techniques

in data analysis, survival data analysis and survival models for cancer patients, statistical analysis and neural network techniques for genomic;

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Principles and Methods for Data Science

this updated volume presenting interesting and timely topics, including Competing risks, aims and methods, Data analysis and mining;

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Computationally Intensive Statistics for Intelligent IoT

of computer resources, and statistical graphics role in data analysis. It also explores computational inferencing and computer model's role in design;

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Data Mining For Business Analytics

regression trees, discriminant analysis, naive Bayes, neural networks, uplift modeling, ensemble models, and time series forecasting. Data Mining;

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Classification and Data Analysis

Section on Classification and Data Analysis of the Polish Statistical Association, SKAD 2019, held in Szczecin, Poland, on September 18-20, 2019;

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The Handbook of Data Mining

Created with the input of a distinguished International Board of the foremost authorities in data mining from academia and industry, The;

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The Handbook of Data Mining

Created with the input of a distinguished International Board of the foremost authorities in data mining from academia and industry, The;

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Signal Processing in Medicine and Biology

statistical modeling of electroencephalograph data for predicting or detecting seizure, stroke, or Parkinson's; machine learning methods and their;

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Handbook of Parallel Computing and Statistics

cumulants, data mining, econometrics, and Bayesian computation. Expert contributors summarize recent results and explore new directions in these;

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Statistical Data Analytics

A comprehensive introduction to statistical methods for data mining and knowledge discovery. Applications of data mining and big data;

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Social Big Data Mining

data, data mining for making a hypothesis, multivariate analysis for verifying the hypothesis, web mining and media mining, natural language;

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Social Big Data Mining

data, data mining for making a hypothesis, multivariate analysis for verifying the hypothesis, web mining and media mining, natural language;

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Statistics and Probability with Applications for Engineers and Scientists Using MINITAB, R and JMP

. Features two new chapters-one on Data Mining and another on Cluster Analysis Now contains R exhibits including code, graphical display, and some;

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Data Mining for Business Analytics

Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts;

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Handbook of Big Data Analytics

, computation tools, analysis flows and the software-hardware co-designs that are needed to support insightful discoveries from big data. The book;

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