Tabla de Contenidos: “…Practical Text Mining With Perl; Contents; List of Figures; List of Tables; Preface; Acknowledgments; 1 Introduction; 2 Text Patterns; 3 Quantitative Text Summaries; 4 Probability and Text Sampling; 5 Applying Information Retrieval to Text Mining; 6 Concordance Lines and Corpus Linguistics; 7 Multivariate Techniques with Text; 8 Text Clustering; 9 A Sample of Additional Topics; Appendix A: Overview of Perl for Text Mining; Appendix B: Summary of R used in this Book; References; Index…”

Tabla de Contenidos: “…Foreword / by Gareth James -- Foreword / by Ravi Bapna -- Preface to the Python edition -- Overview of the data mining process -- Data visualization -- Dimension reduction -- Evaluating predictive performance -- Multiple linear regression -- k-nearest neighbors (kNN) -- The naive Bayes classifier -- Classification and regression trees -- Logistic regression -- Neural nets -- Discriminant analysis -- Combining methods : ensembles and uplift modeling -- Association rules and collaborative filtering -- Cluster analysis -- Handling time series -- Regression-based forecasting -- Smoothing methods -- Social network analytics -- Text mining -- Cases…”

Materias: “…Data mining Statistical methods Periodicals…”

Materias:

Materias: “…Víctimes de mines antipersones Llibres de làmines…”

Tabla de Contenidos: “…Front Cover -- Title page -- Copyright Page -- Table of Contents -- Foreword -- Preface -- Introduction -- How To Use This Book -- Bibliography -- Introductory Section -- 1 Basics -- 1.1 Basic Statistics -- 1.2 Inferential versus Descriptive Statistics and Data Mining -- 1.3 Population versus Samples -- 1.4 Modeling -- 1.5 Errors -- 1.6 Overfitting the Model -- 1.7 Generalizability versus Accuracy -- 1.8 Input/Output -- 1.9 Bibliography -- 2 Domain Expertise -- 2.1 Domain Expertise -- 2.2 Domain Expertise for Analysts -- 2.3 Compromise -- 2.4 Analyze Your Own Data -- 2.5 Bibliography -- 3 Data Mining -- 3.1 Discovery and Prediction -- 3.2 Confirmation and Discovery -- 3.3 Surprise -- 3.4 Characterization -- 3.5 "Volume Challenge" -- 3.6 Exploratory Graphics and Data Exploration -- 3.7 Link Analysis -- 3.8 Nonobvious Relationship Analysis (NORA) -- 3.9 Text Mining -- 3.10 Future Trends -- 3.11 Bibliography -- Methods -- 4 Process Models for Data Mining and Analysis -- 4.1 CIA Intelligence Process -- 4.2 CRISP-DM -- 4.3 Actionable Mining and Predictive Analysis for Public Safety and Security -- 4.4 Bibliography -- 5 Data -- 5.1 Getting Started -- 5.2 Types of Data -- 5.3 Data -- 5.4 Types of Data Resources -- 5.5 Data Challenges -- 5.6 How Do We Overcome These Potential Barriers? …”

Tabla de Contenidos: “…Cover; Title Page; Dedication; Copyright Page; Foreword; Preface to the second edition; Preface to the first edition; Acknowledgments; Part One: Preliminaries; Chapter 1: Introduction; 1.1 What Is Data Mining?; 1.2 Where Is Data Mining Used?; 1.3 Origins of Data Mining; 1.4 Rapid Growth of Data Mining; 1.5 Why Are There So Many Different Methods?…”

Tabla de Contenidos: “…Data Mining Techniques in CRM; CONTENTS; ACKNOWLEDGEMENTS; 1 DATA MINING IN CRM; 2 AN OVERVIEW OF DATA MINING TECHNIQUES; 3 DATA MINING TECHNIQUES FOR SEGMENTATION; 4 THE MINING DATA MART; 5 CUSTOMER SEGMENTATION; 6 SEGMENTATION APPLICATIONS IN BANKING; 7 SEGMENTATION APPLICATIONS IN TELECOMMUNICATIONS; 8 SEGMENTATION FOR RETAILERS; FURTHER READING; INDEX…”

Tabla de Contenidos: “…; ""Acknowledgments""; ""Chapter 1 -Introduction""; ""1.1 WHAT DATA MINING IS""; ""1.2 WHAT DATA MINING IS NOT""; ""1.3 THE CASE FOR DATA MINING""; ""1.4 TYPES OF DATA MINING""; ""1.5 DATA MINING ALGORITHMS""; ""1.6 ROADMAP FOR UPCOMING CHAPTERS""; ""REFERENCES""; ""Chapter 2 - Data Mining Process""; ""2.1 PRIOR KNOWLEDGE""; ""2.2 DATA PREPARATION""; ""2.3 MODELING""; ""2.4 APPLICATION""; ""2.5 KNOWLEDGE""…”

Materias: “…Data mining…”

Tabla de Contenidos: “…Front Cover; Preface; Contents; Chapter 1 Social Media; Chapter 2 Big Data and Social Data; Chapter 3 Hypotheses in the Era of Big Data; Chapter 4 Social Big Data Applications; Chapter 5 Basic Concepts in Data Mining; Chapter 6 Association Rule Mining; Chapter 7 Clustering; Chapter 8 Classification; Chapter 9 Prediction; Chapter 10 Web Structure Mining; Chapter 11 Web Content Mining; Chapter 12 Web Access Log Mining, Information Extraction, and Deep Web Mining; Chapter 13 Media Mining; Chapter 14 Scalability and Outlier Detection…”

Materias:

Materias:

Materias: “…Aboriginal Australians Mines and mining Law and legislation…”

Tabla de Contenidos: “…Front Cover; Contents; Foreword; About the Author; Contributors; Chapter 1: Introduction to the Big Data Era; Chapter 2: Information Creation through Analytics; Chapter 3: Big Data Analytics-Architectures, Implementation Methodology, and Tools; Chapter 4: Data Mining Methods and the Rise of Big Data; Chapter 5: Data Management and the Model Creation Process of Structured Data for Mining and Analytics; Chapter 6: The Internet: A Source of New Data for Mining in Marketing; Chapter 7: Mining and Analytics in E-Commerce; Chapter 8: Streaming Data in the Age of Big Data…”