BOOKS - Innovations in Data Analytics: Selected Papers of ICIDA 2022 (Advances in Int...
Innovations in Data Analytics: Selected Papers of ICIDA 2022 (Advances in Intelligent Systems and Computing, 1442) - Abhishek Bhattacharya June 2, 2023 PDF  BOOKS
ECO~32 kg CO²

3 TON

Views
88998

Telegram
 
Innovations in Data Analytics: Selected Papers of ICIDA 2022 (Advances in Intelligent Systems and Computing, 1442)
Author: Abhishek Bhattacharya
Year: June 2, 2023
Format: PDF
File size: PDF 108 MB
Language: English



Pay with Telegram STARS
Book Description: Innovations in Data Analytics: Selected Papers of ICIDA 2022 (Advances in Intelligent Systems and Computing, 1442) Publisher: Springer Publication Date: November 29-30, 2022 Location: Eminent College of Management and Technology, ECMT, West Bengal, India Editors: [List the names of the editors] Pages: [Total number of pages] This book is a collection of research papers presented at the 1st International Conference on Innovations in Data Analytics (ICIDA 2022), held at Eminent College of Management and Technology (ECMT), West Bengal, India, during November 29-30, 2022. It covers a wide range of topics in the fields of computational intelligence, advanced computing, network security, and telecommunications, with a focus on data science and data analytics. The book provides valuable insights for both academicians and industry professionals who are interested in exploring innovative ideas and solutions in these areas. The need to study and understand the process of technology evolution is crucial in today's rapidly changing world.
''

You may also be interested in:

Analysis of Categorical Data from Historical Perspectives: Essays in Honor of Shizuhiko Nishisato (Behaviormetrics: Quantitative Approaches to Human Behavior, 17)
Analysing Web Traffic: A Case Study on Artificial and Genuine Advertisement-Related Behaviour (Studies in Big Data, 127)
Big Data and Cloud Computing: Select Proceedings of ICBCC 2022 (Lecture Notes in Electrical Engineering Book 1021)
The Python Bible 7 in 1 Volumes One To Seven (Beginner, Intermediate, Data Science, Machine Learning, Finance, Neural Networks, Computer Vision)
Tomorrow’s Jobs Today Wisdom And Career Advice From Thought Leaders In Ai, Big Data, Blockchain, The Internet Of Things, Privacy, And More
Information Modeling and Relational Databases: From Conceptual Analysis to Logical Design (The Morgan Kaufmann Series in Data Management Systems)
Python Polars The Definitive Guide Transforming, Analyzing, and Visualizing Data with a Fast and Expressive DataFrame API (8th Early Release)
CCNP and CCIE Data Center Core DCCOR 350-601 Official Cert Guide, 2nd Edition (Early Release)
CCNP and CCIE Data Center Core DCCOR 350-601 Official Cert Guide, 2nd Edition (Early Release)
Python Programmieren 7 in 1 Der schnelle Einstieg (Grundlagen, Machine Learning, Neuronale Netze, Data Science, Computer Vision, Finanzen)
Information Technology for Education, Science, and Technics: Proceedings of ITEST 2022 (Lecture Notes on Data Engineering and Communications Technologies, 178)
Python and SQL Bible From Beginner to World Expert Unleash the true potential of data analysis and manipulation, the complete guide to mastering
Python and SQL Bible From Beginner to World Expert Unleash the true potential of data analysis and manipulation, the complete guide to mastering
Modern Data Mining with Python: A risk-managed approach to developing and deploying explainable and efficient algorithms using ModelOps (English Edition)
Coding for Absolute Beginners and Cybersecurity: 5 BOOKS IN 1 THE PROGRAMMING BIBLE: Learn Well the Fundamental Functions of Python, Java, C++ and How to Protect Your Data from Hacker Attacks
Не лги себе. Почему Big Data знает тебя лучше, чем ты сам, и как использовать это, чтобы добиться успеха
Machine Learning: 4 Books in 1: A Complete Overview for Beginners to Master the Basics of Python Programming and Understand How to Build Artificial Intelligence Through Data Science
Machine Learning 4 Books in 1 A Complete Overview for Beginners to Master the Basics of Python Programming and Understand How to Build Artificial Intelligence Through Data Science
Learn Python the Hard Way A Deceptively Simple Introduction to the Terrifyingly Beautiful World of Computers and Data Science, 5th Edition (Early Release)
Learn Python the Hard Way A Deceptively Simple Introduction to the Terrifyingly Beautiful World of Computers and Data Science, 5th Edition (Early Release)
Web Scraping with Python Data Extraction from the Modern Web, 3rd Edition
Все лгут. Поисковики, Big Data и Интернет знают о вас все
Usability and User Experience Design The Comprehensive Guide to Data-Driven UX Design
Statistical Sciences and Data Analysis: Proceedings of the Third Pacific Area Statistical Conference
Snowflake The Definitive Guide Architecting, Designing, and Deploying on the Snowflake Data Cloud
Information Security Incident and Data Breach Management A Step-by-Step Approach
Displaying Time Series, Spatial, and Space-Time Data with R, 2nd Edition
Web Scraping with Python Data Extraction from the Modern Web, 3rd Edition
Python for Data Science For Dummies (For Dummies (Computer/Tech)), 2nd Edition
Meteorological data catalogue, (International Indian Ocean Expedition meteorological monographs)
Learning Snowflake SQL and Scripting: Generate, Retrieve, and Automate Snowflake Data
Understanding Results with Python: 100 Drills for Data Analysis and Statistical Analysis
Learning Snowflake SQL and Scripting Generate, Retrieve, and Automate Snowflake Data
Medical Big Data and Internet of Medical Things Advances, Challenges and Applications
Exploring Complex Survey Data Analysis Using R A Tidy Introduction with {srvyr} and {survey}
Tutorial Guide to X-ray and Gamma-ray Astronomy: Data Reduction and Analysis
SPSS For Beginners: An Illustrative Step-by-Step Approach to Analyzing Statistical data
Data Visualization for Social and Policy Research: A Step-by-Step Approach Using R and Python
Python Data Science: A Comprehensive Guide to Self-Directed Python Programming Learning
Knowledge-Guided Machine Learning Accelerating Discovery Using Scientific Knowledge and Data