Modern technologies for big data classification and clustering

Modern technologies for big data classification and clustering

"This book provides an analysis of large data in the field of classification and clustering by presenting algorithms and comparative analysis in the form of their effectiveness and efficiency. It covers topics such as handling large data with conventional data mining, machine learning algorithm...

Полное описание

Библиографическая информация
Другие авторы:	Seetha, Hari, 1970-, Murty, M. Narasimha, Tripathy, B. K., 1957-
Формат:	Электронная книга
Язык:	English
Публикация:	Hershey, PA IGI Global, [2018]
Серии:	Advances in data mining and database management (ADMDM) book series.
Предметы:	Big data. Data mining. Cluster analysis. Classification > Nonbook materials. Document clustering. COMPUTERS > Databases > Data Mining. EBSCO eBooks Electronic books.
Online-ссылка:	EBSCOhost Перейти в каталог НБ ТГУ

Похожие документы

Principles of strategic data science creating value from data, big and small
по: Prevos, Peter
Публикация: (2019)

Big data management data governance principles for big data analytics
по: Ghavami, Peter K.
Публикация: (2021)

Deep learning concepts, methodologies, tools, and applications
Публикация: (2020)

Nanotechnologies and clusters in the spaces of higher dimension emerging research and opportunities
по: Zhizhin, G. V. (Gennadiĭ Vladimirovich)
Публикация: (2021)

Big Data Analytics Methods Analytics Techniques in Data Mining, Deep Learning and Natural Language Processing
по: Ghavami, Peter
Публикация: (2019)

Deep learning techniques and optimization strategies in big data analytics
Публикация: (2020)

Big data analytics for sustainable computing
Публикация: (2020)

Advanced deep learning applications in big data analytics
Публикация: (2021)

Dark data why what you don't know matters
по: Hand, D. J. (David J.), 1950-
Публикация: (2020)

Implementation of machine learning algorithms using control-flow and dataflow paradigms
по: Milutinović, Veljko
Публикация: (2022)

Integration challenges for analytics, business intelligence, and data mining
Публикация: (2020)

Machine learning in cancer research with applications in colon cancer and big data analysis
по: Lu, Zhongyu, 1955-
Публикация: (2021)

Handbook of research on foundations and applications of intelligent business analytics
Публикация: (2022)

Large-scale data streaming, processing, and blockchain security
Публикация: (2021)

Security, privacy, and forensics issues in big data
Публикация: (2020)

Hands-On Data Analysis with Pandas A Python Data Science Handbook for Data Collection, Wrangling, Analysis, and Visualization
по: Molin, Stefanie
Публикация: (2021)

Hands-on data analysis with Pandas efficiently perform data collection, wrangling, analysis, and visualization using Python
по: Molin, Stefanie
Публикация: (2019)

The Pandas Workshop a Comprehensive Guide to Using Python for Data Analysis with Real-World Case Studies
по: Bateman, Blaine
Публикация: (2022)

Big data analysis with Python combine Spark and Python to unlock the powers of parallel computing and machine learning
по: Marin, Ivan
Публикация: (2019)

Data engineering with Google Cloud Platform a practical guide to operationalizing scalable data analytics systems on GCP
по: Widjaja, Adi
Публикация: (2022)

Smart agricultural services using deep learning, big data, and IoT
Публикация: (2021)

Data engineering with AWS build and implement complex data pipelines using AWS
по: Eagar, Gareth
Публикация: (2021)

Python Data Analysis Perform Data Collection, Data Processing, Wrangling, Visualization, and Model Building Using Python
по: Navlani, Avinash
Публикация: (2021)

Handbook of research on advances in data analytics and complex communication networks
Публикация: (2022)

Challenges and applications of data analytics in social perspectives
Публикация: (2021)

Pandas 1.x cookbook practical recipes for scientific computing, time series analysis and exploratory data analysis using Python
по: Harrison, Matt, 1975-
Публикация: (2020)

Big data analytics for entrepreneurial success
по: Sedkaoui, Soraya
Публикация: (2019)

Big data and knowledge sharing in virtual organizations
Публикация: (2019)

The Economics of Data, Analytics, and Digital Transformation The Theorems, Laws, and Empowerments to Guide Your Organization's Digital Transformation.
по: Schmarzo, Bill
Публикация: (2020)

Managing information risks threats, vulnerabilities, and responses
по: Saffady, William, 1944-
Публикация: (2020)

Handbook of research on cloud computing and big data applications in IoT
Публикация: (2019)

AI and big data's potential for disruptive innovation
Публикация: (2020)

The data science workshop a new, interactive approach to learning data science
по: So, Anthony (Data scientist)
Публикация: (2020)

Limitations and future applications of quantum cryptography
Публикация: (2021)

Deep learning applications and intelligent decision making in engineering
Публикация: (2021)

Digital marketing strategies and models for competitive business
Публикация: (2020)

Integrating AI in IoT analytics on the cloud for healthcare applications
Публикация: (2022)

Spectroscopic methods in mineralogy and materials sciences
Публикация: (2015)

Intersubjectivity in action studies in language and social interaction
Публикация: (2021)

Scientific computing with Python high-performance scientific computing with NumPy, SciPy, and pandas
по: Führer, Claus
Публикация: (2021)