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An Introduction to Text Mining: Research Design, Data Collection, and Analysis

This is the ideal introduction for students seeking to collect and analyze textual data from online sources. It covers the most critical;

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Educational Research

inquiry to research design, data collection, analysis, and reporting of the completed study.;

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Educational Research

inquiry to research design, data collection, analysis, and reporting of the completed study.;

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Educational Research

. A comprehensive introduction to the major research methods and types of data analysis used today, this text provides in-depth coverage;

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Contemporary Experimental Design, Multivariate Analysis and Data Mining

features four review papers on Professor Fang's numerous contributions to the fields of experimental design, multivariate analysis, data mining and;

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Data Mining

of management and engineering design problems. Data Mining is organised into two parts: the first provides a focused introduction to data mining and;

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Data Mining

and testing, as well as on interpreting and validating results. The text guides students to understand how data mining can be employed to;

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Foundations of Mixed Methods Research

research design and data collection through to analysis and conclusions.;

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Advanced Text Mining and Applied Principles

an introduction of advanced text mining techniques ranging from relation extraction to under or less resourced language. It aims at providing;

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Introduction to Research Methods in Psychology Third Edition

to approach research methods in a logical way, showing students how to design and report experiments, collect and analyse data. The book also;

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Data Mining for Design and Marketing

Data Mining for Design and Marketing shows how to design and integrate data mining tools into human thinking processes in order to make;

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Data Mining for Design and Marketing

Data Mining for Design and Marketing shows how to design and integrate data mining tools into human thinking processes in order to make;

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Data Mining

, and scalability of data mining techniques for large data sets. After an introduction to the concept of data mining, the authors;

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The Text Mining Handbook

Text mining is a new and exciting area of computer science research that tries to solve the crisis of information overload by combining;

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Introduction to Data Mining

Introducing the fundamental concepts and algorithms of data mining Introduction to Data Mining, 2nd Edition, gives a comprehensive;

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Data Mining for Bioinformatics Applications

real bioinformatics problems, including problem definition, data collection, data preprocessing, modeling, and validation. The text;

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Analyzing Textual Information

readers through the text analysis process, from text mining and pre-processing the text to final analysis. It includes two major case studies;

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Multivariate Data Analysis

For graduate-level courses in Marketing Research, Research Design and Data Analysis. Multivariate Data Analysis provides an applications;

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Multivariate Data Analysis

For graduate-level courses in Marketing Research, Research Design and Data Analysis. Multivariate Data Analysis provides an applications;

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Multivariate Data Analysis

For graduate-level courses in Marketing Research, Research Design and Data Analysis. Multivariate Data Analysis provides an applications;

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Research Design

The Language of Social Research, Research Design, Data Collection, Measurement, and Data Analysis and Report. Each is preceded by an;

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Research Methods in Anthropology

book. oA comprehensive research methods text for cultural anthropologists oCovers research design, data collection and data analysis;

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Java Data Mining: Strategy, Standard, and Practice

contributors to the JDM standard.Data mining introduction - an overview of data mining and the problems it can address across industries; JDM's;

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Constructing Social Research

Constructing Social Research is an innovative text that can serve as an introduction to social research methods course, or as a capstone to;

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Rock Slope Engineering

both worked examples illustrating data interpretation and design methods, and chapters on civil and mining case studies. The case studies;

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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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Dark Web

world, etc. We have developed various multilingual data mining, text mining, and web mining techniques to perform link analysis, content;

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