Tabla de Contenidos: “…Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Chapter 1 A Comprehensive Review on Text Classification and Text Mining Techniques Using Spam Dataset Detection -- 1.1 Introduction -- 1.2 Text Mining Techniques -- 1.2.1 Data Mining -- 1.2.2 Information Retrieval -- 1.2.3 Natural Language Processing (NLP) -- 1.2.4 Information Extraction -- 1.2.5 Text Summarization -- 1.2.6 Text Categorization -- 1.2.7 Clustering -- 1.2.8 Information Visualization -- 1.2.9 Question Answer -- 1.3 Dataset and Preprocessing Steps -- 1.3.1 Text Preprocess -- 1.4 Feature Extraction -- 1.4.1 Term Frequency - Inverse Document Frequency -- 1.4.2 Bag of Words (BoW) -- 1.5 Supervised Machine Learning Classification -- 1.6 Evaluation -- 1.7 Experimentation and Discussion Results for Spam Detection Data -- 1.8 Text Mining Applications -- 1.9 Text Classification Support -- 1.9.1 Health -- 1.9.2 Business and Marketing -- 1.9.3 Law -- 1.10 Conclusions -- References -- Chapter 2 Study of Lidar Signals of the Atmospheric Boundary Layer Using Statistical Technique -- 2.1 Introduction -- 2.2 Methodology -- 2.2.1 A Statistical Approach to Determine the CBLH -- 2.2.2 A Statistical Approach to Determine the Best Fit Distribution to the Backscatter Signals of the Lidar Dataset -- 2.3 Mathematical Background of Method -- 2.4 Example and Result -- 2.5 Conclusion and Future Scope -- Acknowledgement -- References -- Annexure -- Chapter 3 Optimal Personalized Therapies in Colon Cancer Induced Immune Response using a Fokker-Planck Framework -- 3.1 Introduction -- 3.2 The Control Framework Based on Fokker-Planck Equations -- 3.3 Theoretical Results -- 3.4 Numerical Schemes -- 3.5 Results -- 3.6 Conclusion -- Acknowledgments -- References -- Chapter 4 Detection and Classification of Leaf Blast Disease using Decision Tree Algorithm in Rice Crop -- 4.1 Introduction…”

Tabla de Contenidos: “…Material and methodology -- 2.1 Dataset (PhysioNet) -- 2.2 EEG preprocessing and feature extraction -- 2.2.1 Continuous wavelet transform -- 2.2.2 Features -- 2.2.2.1 Entropy features -- 2.2.2.1 Entropy features -- 2.2.2.1.1 Shannon Entropy -- 2.2.2.1.1 Shannon Entropy -- 2.2.2.1.2 Sure entropy -- 2.2.2.1.2 Sure entropy -- 2.2.2.2 Statistical features -- 2.2.2.2 Statistical features -- 2.2.2.2.1 Mean -- 2.2.2.2.1 Mean -- 2.2.2.2.2 Standard deviation -- 2.2.2.2.2 Standard deviation -- 2.2.2.2.3 Skewness -- 2.2.2.2.3 Skewness -- 2.2.2.2.4 Normalized standard deviation -- 2.2.2.2.4 Normalized standard deviation -- 2.2.2.2.5 Kurtosis -- 2.2.2.2.5 Kurtosis -- 2.2.2.2.6 Energy -- 2.2.2.2.6 Energy…”

Tabla de Contenidos: “…Error Theory: Uncertainty of Measurement Results -- 4.1 Uncertainty of Measurement Results -- 4.2 Sensitivity, precision, and accuracy -- 4.3 Source of errors -- 4.3.1 Errors introduced by the instrument -- 4.4 Classification of errors -- 4.5 Significant figures -- 4.6 Determination of measurement errors -- 4.7 Nonius, vernier, or caliper -- 4.8 Summary of important concepts -- 4.9 Exercises and problems -- References -- Chapter 5. Statistical Data Processing -- 5.1 Samples and populations -- 5.2 Histograms and statistical distribution -- 5.3 Position parameters of a distribution…”

Tabla de Contenidos: “…Cuba: Towards an Active Cyber-defense2.1. Cyberspace: statistics and history; 2.1.1. The marginalization of Cuba; 2.1.2. …”

Tabla de Contenidos: “…Cover -- 1 Introduction -- 2 The Semantic Web -- 2.1 Overview -- 2.1.1 Background and Vision -- 2.1.2 Features -- 2.1.3 Misconceptions and Criticism -- 2.2 Applications -- 3 Ontologies -- 3.1 Fundamentals -- 3.1.1 Purpose -- 3.1.2 Structure and Entities -- 3.1.3 Ontology Research Fields -- 3.2 Representation -- 3.2.1 Resource Description Framework -- 3.2.2 RDF Schema -- 3.2.3 Web Ontology Language -- 3.3 Querying and Reasoning -- 3.3.1 SPARQL and RDQL -- 3.3.2 Reasoning with Jena -- 3.3.3 Redland -- 3.4 Public Datasets and Ontologies -- 3.4.1 DBpedia -- 3.4.2 Freebase -- 3.4.3 OpenCyc -- 4 Methodology -- 4.1 Ontology Learning -- 4.2 Methods for Learning Semantic Associations -- 4.2.1 Natural Language Processing Techniques -- 4.2.2 Lexico-syntactic Patterns -- 4.2.3 Relevant Statistical and Information Retrieval Measures and Methods -- 4.2.4 Machine Learning Paradigms -- 4.3 Literature Review -- 4.3.1 Domain Text and Semantic Associations -- 4.3.2 The Web and Semantic Associations -- 4.3.3 Domain Text and Linguistic Patterns -- 4.3.4 The Web and Linguistic Patterns -- 4.3.5 Semantic Web Data and Reasoning -- 4.3.6 Selected Work from SemEval2007 -- 4.3.7 Learning of Qualia Structures -- 4.4 webLyzard Ontology Learning System -- 4.4.1 System Overview -- 4.4.2 Major Components of the Framework -- 4.4.3 Identification of the Most Relevant Concepts -- 4.4.4 Concept Positioning and Taxonomy Discovery -- 4.5 A Novel Method to Detect Relations -- 4.5.1 Relation Labeling Based on Vector Space Similarity -- 4.5.2 Ontological Restrictions and Integration of External Knowledge -- 4.5.3 The Knowledge Base -- 4.5.4 A Hybrid Method for Relation Labeling -- 4.5.5 Integration of User Feedback -- 4.6 Implementation of the Method -- 4.6.1 Training -- 4.6.2 Compute Vector Space Similarities -- 4.6.3 Ontological Restrictions and Concept Grounding -- 4.6.4 Scarlet…”

Tabla de Contenidos: “…2 The Arithmomorphic Approach -- 2.1 Presentation of the Basic Idea -- 2.2 Expected Return Models -- 2.3 Statistical Background -- 2.4 A FAMA-Model of an Informational Efficient Market System -- 2.4.1 Presentation of a FAMA-Model of an Informational Efficient Market System -- 2.4.2 Tests of Informational Efficiency -- 2.4.3 The Problem of Joint Tests -- 2.5 Limitations and Criticism of the Arithmomorphic Approach -- Chapter IV An 'Austrian' Perspective of Informational Efficiency -- 1 Introductory Notes -- 2 An 'Austrian' Perspective -- 2.1 Hedging versus Speculation -- 2.2 Information Processes -- 2.3 Divergent Expectations and Speculative Prices -- 2.3.1 The Idea of Expectations -- 2.3.2 Consensus Expectations versus Divergent Expectations -- 2.3.3 The 'Unquiet Market' -- 2.3.4 The Principle of False-Price-Trading -- 2.3.5 Speculative Prices versus Forecast Prices -- 2.4 Monopoly and Profit -- 2.4.1 The Notion of Friction -- 2.4.2 Monopoly -- 2.4.3 Market Efficiency…”

Tabla de Contenidos: “…C.2.1 Similarity matrix calculationsC.2.2 Arithmetic mean; C.2.3 Geometric mean and partly compensating methods; C.2.4 Principal component analysis; C.2.5 Implications of similarity value construction and possible future extensions; C.2.6 Details of similarity interpretation between countries; C.2.7 Details of population weighting for regional means; C.3 Detailed DELF data per country; Appendix D - Chapter 4; D.1 Summary statistics for all replications; D.2 Marginal effects of DELF; Bibliography…”

Tabla de Contenidos: “…5.3 The Evolution of Research Methodology - Conceptual Process Design5.4 Essential Workflow Elements; 5.4.1 Catalyst Testing Equipment; 5.4.2 Kinetics and Pseudo-Kinetics; 5.4.3 Statistical Design of Experiments; 5.4.4 Data Analysis; 5.4.5 Example of PCA Applied to Catalysis; 5.4.6 Example of PLS Applied to Diesel Properties; 5.5 Other Examples of Parallel Reactor Equipment Applied Beyond Screening - Long-Term Catalyst Performance; 5.6 Concluding Remarks; References; 6: Braskem's Ethanol to Polyethylene Process Development; 6.1 Introduction; 6.1.1 Overview of Braskem Activities and History…”

Tabla de Contenidos: “…Cover -- Copyright -- Contributors -- Table of Contents -- Preface -- Part I - Data Ingestion -- Chapter 1: Tabular Formats -- Tidying Up -- CSV -- Sanity Checks -- The Good, the Bad, and the Textual Data -- The Bad -- The Good -- Spreadsheets Considered Harmful -- SQL RDBMS -- Massaging Data Types -- Repeating in R -- Where SQL Goes Wrong (and How to Notice It) -- Other Formats -- HDF5 and NetCDF-4 -- Tools and Libraries -- SQLite -- Apache Parquet -- Data Frames -- Spark/Scala -- Pandas and Derived Wrappers -- Vaex -- Data Frames in R (Tidyverse) -- Data Frames in R (data.table) -- Bash for Fun -- Exercises -- Tidy Data from Excel -- Tidy Data from SQL -- Denouement -- Chapter 2: Hierarchical Formats -- JSON -- What JSON Looks Like -- NaN Handling and Data Types -- JSON Lines -- GeoJSON -- Tidy Geography -- JSON Schema -- XML -- User Records -- Keyhole Markup Language -- Configuration Files -- INI and Flat Custom Formats -- TOML -- Yet Another Markup Language -- NoSQL Databases -- Document-Oriented Databases -- Missing Fields -- Denormalization and Its Discontents -- Key/Value Stores -- Exercises -- Exploring Filled Area -- Create a Relational Model -- Denouement -- Chapter 3: Repurposing Data Sources -- Web Scraping -- HTML Tables -- Non-Tabular Data -- Command-Line Scraping -- Portable Document Format -- Image Formats -- Pixel Statistics -- Channel Manipulation -- Metadata -- Binary Serialized Data Structures -- Custom Text Formats -- A Structured Log -- Character Encodings -- Exercises -- Enhancing the NPY Parser -- Scraping Web Traffic -- Denouement -- Part II - The Vicissitudes of Error -- Chapter 4: Anomaly Detection -- Missing Data -- SQL -- Hierarchical Formats -- Sentinels -- Miscoded Data -- Fixed Bounds -- Outliers -- Z-Score -- Interquartile Range -- Multivariate Outliers -- Exercises -- A Famous Experiment -- Misspelled Words…”

Tabla de Contenidos: “…5.2 The Characteristic Equation -- 5.3 Diagonalization -- 5.4 Eigenvectors and Linear Transformations -- 5.5 Complex Eigenvalues -- 5.6 Discrete Dynamical Systems -- 5.7 Applications to Differential Equations -- 5.8 Iterative Estimates for Eigenvalues -- Supplementary Exercises -- Chapter 6 Orthogonality and Least Squares -- INTRODUCTORY EXAMPLE: The North American Datum and GPS Navigation -- 6.1 Inner Product, Length, and Orthogonality -- 6.2 Orthogonal Sets -- 6.3 Orthogonal Projections -- 6.4 The Gram-Schmidt Process -- 6.5 Least-Squares Problems -- 6.6 Applications to Linear Models -- 6.7 Inner Product Spaces -- 6.8 Applications of Inner Product Spaces -- Supplementary Exercises -- Chapter 7 Symmetric Matrices and Quadratic Forms -- INTRODUCTORY EXAMPLE: Multichannel Image Processing -- 7.1 Diagonalization of Symmetric Matrices -- 7.2 Quadratic Forms -- 7.3 Constrained Optimization -- 7.4 The Singular Value Decomposition -- 7.5 Applications to Image Processing and Statistics -- Supplementary Exercises -- Chapter 8 The Geometry of Vector Spaces -- INTRODUCTORY EXAMPLE: The Platonic Solids -- 8.1 Affine Combinations -- 8.2 Affine Independence -- 8.3 Convex Combinations -- 8.4 Hyperplanes -- 8.5 Polytopes -- 8.6 Curves and Surfaces -- Appendixes -- A Uniqueness of the Reduced Echelon Form -- B Complex Numbers -- Glossary -- Photo Credits…”

Tabla de Contenidos: “…Part 1: Cardiovascular Disorders -- Chapter 1: Chronic Heart Failure -- Chapter 2: Acute Decompensated Heart Failure -- Chapter 3: Hypertension -- Chapter 4: Acute Coronary Syndromes -- Chapter 5: Dyslipidemia -- Chapter 6: Stroke -- Chapter 7: Anticoagulation/Venous Thromboembolism -- Chapter 8: Peripheral Arterial Disease -- Chapter 9: Arrhythmia -- Part 2: Immunologic, Hematologic, and Oncologic Disorders -- Chapter 10: Oncology Overview and Supportive Care -- Chapter 11: Immune System -- Chapter 12: Anemia -- Chapter 13: Lung Cancer -- Chapter 14: Prostate Cancer -- Chapter 15: Leukemias -- Chapter 16: Breast Cancer -- Chapter 17: Solid Organ Transplantation -- Chapter 18: Cutaneous Melanoma -- Chapter 19: Colorectal Cancer -- Part 3: Infectious Diseases -- Chapter 20: Antimicrobial Regimen Selection -- Chapter 21: Lower Respiratory Tract Infections -- Chapter 22: Upper Respiratory Tract Infections -- Chapter 23: Urinary Tract Infections -- Chapter 24: Skin and Soft Tissue Infections -- Chapter 25: Central Nervous System Infections -- Chapter 26: Sepsis Syndromes -- Chapter 27: Human Immunodeficiency Virus -- Chapter 28: Opportunistic Infections -- Chapter 29: Invasive Fungal Infections -- Chapter 30: Tuberculosis -- Chapter 31: Sexually Transmitted Diseases -- Chapter 32: Influenza -- Part 4: Renal and Nutritional Disorders -- Chapter 33: Estimating Renal Function -- Chapter 34: Acute Kidney Injury -- Chapter 35: Chronic Kidney Disease/End Stage Renal Disease -- Chapter 36: Acid-Base Disorders -- Chapter 37: Enteral Nutrition -- Chapter 38: Parenteral Nutrition -- Chapter 39: Electrolyte Disorders -- Part 5: Gastrointestinal Disorders -- Chapter 40: Liver Cirrhosis and Complications -- Chapter 41: Inflammatory Bowel Disease -- Chapter 42: Nausea and Vomiting -- Chapter 43: Upper Gastrointestinal Disorders -- Chapter 44: Hepatitis -- Part 6: Respiratory Disorders -- Chapter 45: Chronic Obstructive Pulmonary Disease -- Chapter 46: Asthma -- Chapter 47: Cystic Fibrosis -- Part 7: Bone and Joint Disorders -- Chapter 48: Gout -- Chapter 49: Osteoporosis -- Chapter 50: Rheumatoid Arthritis -- Chapter 51: Osteoarthritis -- Part 8: Neurologic Disorders -- Chapter 52: Parkinson Disease -- Chapter 53: Epilepsy -- Chapter 54: Headache -- Chapter 55: Pain Management -- Part 9: Psychiatric Disorders -- Chapter 56: Schizophrenia -- Chapter 57: Anxiety Disorders -- Chapter 58: Bipolar Disorders -- Chapter 59: Post-Traumatic Stress Disorder -- Chapter 60: Depression -- Part 10: Endocrinologic Disorders -- Chapter 61: Diabetes Mellitus -- Chapter 62: Thyroid Disorders -- Part 11: Health and Wellness and Other Topics -- Chapter 63: Contraception -- Chapter 64: Allergic Rhinitis -- Chapter 65: Urology -- Chapter 66: Vaccines and Immunizations -- Chapter 67: Smoking Cessation -- Chapter 68: Ocular Pharmacology -- Chapter 69: Pregnancy and Lactation -- Chapter 70: Pharmacoeconomics -- Chapter 71: Statistics -- Chapter 72: Pharmacy Calculations -- Chapter 73: Clinical Toxicology -- Chapter 74: Herbal and Nonherbal Dietary Supplements -- Chapter 75: Sterile Compounding Regulations and Best Practices for Sterile Compounding per USP 797 According to the Official USP Chapter 797 -- Chapter 76: Compounding USP Chapter 800-Hazardous Drug Handling in Health Care Settings -- Appendix A: The Top 310 Medications -- Appendix B: Common Injectable Medications…”

Tabla de Contenidos: “…Simulation Study: Effects of Degradation; 1.4. Statistical Inference Method; 1.5. Simulation Study: Bayesian Inference; 1.6. …”

Tabla de Contenidos: “…Worthwhileness and Overall Evaluation -- How These Measures Can Be Applied -- 4.6 Case Study: Subjective Well-being, by the Office for National Statistics' Design -- 4.7 Summarising What Measuring Subjective Well-being Does -- 4.8 Conclusion -- References -- Chapter 5: Getting a Sense of Big Data and Well-being -- 5.1 What Even Is 'Big Data'? …”

Tabla de Contenidos: “…4.2.3 BHS Violence Typology -- 4.2.4 Cautious Use of BHS Typology and Data -- 4.3 Sample -- 4.3.1 Sampling -- 4.3.2 Statistical Context: BHS Representativeness -- 4.3.3 Normative Context: BHS Comparability -- 4.3.4 Sample Description -- 4.4 Field Work -- References -- Chapter 5: Violence in the Balkans: Regional Commons and Country Specifics -- 5.1 Incident Characteristics -- 5.1.1 Missing Incident Data -- 5.1.2 Attempted vs. …”

Tabla de Contenidos: “…Thailand may consider requiring policy makers to make their agendas open and accessible to the public -- Thailand could consider increasing the level of transparency with respect to the composition and activities of advisory bodies in the executive and legislative branches -- Strengthening enforcement and stakeholder engagement awareness raising -- Thailand could further its efforts to centralise and systematise all information (including statistical data) concerning public consultations by developing a single platform -- Thailand may develop awareness-raising campaigns and communication efforts to strengthen citizens' rights to introduce legislation -- References…”

Tabla de Contenidos: “…Methodological framework -- General methodological framework for the analysis of discrete choice data -- The Conditional Logit Model -- The Latent Class Model -- Overview of the analysis and model specifications -- Annex 4.C. Descriptive statistics and variable definitions -- Annex 4.D. Model extensions and detailed tables -- Annex 4.E. …”

Tabla de Contenidos: “…headline indicators in 2011 and in this edition; The How's Life? statistical agenda: Progress since 2011; Table 1.1. …”

Tabla de Contenidos: “… ANNEXES  171 Annex A: Organisation of the review 173 Annex B: Energy balances and key statistical data 177 Annex C: Glossary and list of abbreviations 183…”

Tabla de Contenidos: “…Distinctions between self-employment and business ownership data; The Flash Eurobarometer; Statistics on Income and Living Conditions; References; Chapter 1. …”

Tabla de Contenidos: “…Net Official Development Assistance from DAC Members in 1998 and 1999""; ""Table V-1. DAC statistical definition of “aid to healthâ€?""; ""Table V-2. …”