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Title Advances in data mining and database management (ADMDM) book series. — Handbook of research on big data clustering and machine learning
Other creators García Márquez Fausto Pedro
Organization IGI Global,
Collection Электронные книги зарубежных издательств ; Общая коллекция
Subjects Big data — Handbooks, manuals, etc. — Research ; Cluster analysis — Handbooks, manuals, etc. — Research ; Machine learning — Handbooks, manuals, etc. — Research ; EBSCO eBooks
Document type Other
File type PDF
Language English
Rights Доступ по паролю из сети Интернет (чтение, печать, копирование)
Record key on1127443232
Record create date 11/12/2019

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"This book examines the relationship between the analytic principles of clustering and machine learning to big data. It also explores the connection between engineering/technology and the organizational, administrative, and planning abilities of management"--.

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  • Title Page
  • Copyright Page
  • Book Series
  • List of Contributors
  • Table of Contents
  • Detailed Table of Contents
  • Preface
  • Chapter 1: Big Data and Clustering Techniques
  • Chapter 2: Big Data Analytics and Models
  • Chapter 3: Technologies for Handling Big Data
  • Chapter 4: Clustering and Bayesian Networks
  • Chapter 5: Analysis of Gravitation-Based Optimization Algorithms for Clustering and Classification
  • Chapter 6: Analytics and Technology for Practical Forecasting
  • Chapter 7: Modern Statistical Modeling in Machine Learning and Big Data Analytics
  • Chapter 8: Enhanced Logistic Regression (ELR) Model for Big Data
  • Chapter 9: On Foundations of Estimation for Nonparametric Regression With Continuous Optimization
  • Chapter 10: An Overview of Methodologies and Challenges in Sentiment Analysis on Social Networks
  • Chapter 11: Evaluation of Optimum and Coherent Economic-Capital Portfolios Under Complex Market Prospects
  • Chapter 12: Data-Driven Stochastic Optimization for Transportation Road Network Design Under Uncertainty
  • Chapter 13: Examining Visitors' Characteristics and Behaviors in Tourist Destinations Through Mobile Phone Users' Location Data
  • Chapter 14: Machine Learning for Smart Tourism and Retail
  • Chapter 15: Predictive Analysis of Robotic Manipulators Through Inertial Sensors and Pattern Recognition
  • Chapter 16: Call Masking
  • Chapter 17: An Optimized Three-Dimensional Clustering for Microarray Data
  • Chapter 18: Identifying Patterns in Fresh Produce Purchases
  • Chapter 19: Urban Spatial Data Computing
  • Compilation of References
  • About the Contributors
  • Index
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