BOOKS - OS AND DB - Data Mining Concepts and Techniques
Data Mining Concepts and Techniques - Jiawei Han, Micheline Kamber 2000 PDF Morgan Kaufmann Publishers BOOKS OS AND DB
ECO~19 kg CO²

2 TON

Views
57210

Telegram
 
Data Mining Concepts and Techniques
Author: Jiawei Han, Micheline Kamber
Year: 2000
Pages: 550
Format: PDF
File size: 5,7 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Data Science in Chemistry: Artificial Intelligence, Big Data, Chemometrics and Quantum Computing with Jupyter
Apache Iceberg The Definitive Guide Data Lakehouse Functionality, Performance, and Scalability on the Data Lake
Apache Iceberg The Definitive Guide Data Lakehouse Functionality, Performance, and Scalability on the Data Lake
Practical Synthetic Data Generation Balancing Privacy and the Broad Availability of Data (Early Release)
Computer Science in Sport Modeling, Simulation, Data Analysis and Visualization of Sports-Related Data
Tuning the Snowflake Data Cloud Optimizing Your Data Platform to Minimize Cost and Maximize Performance
Hands-On Salesforce Data Cloud: Implementing and Managing a Real-Time Customer Data Platform
Hands-On Salesforce Data Cloud Implementing and Managing a Real-Time Customer Data Platform
Data Sketches A journey of imagination, exploration, and beautiful data visualizations (AK Peters Visualization Series)
Data Science From Scratch From Data Visualization To Manipulation. It Is The Easy Way! All You Need For Business Using The Basic Principles Of Python And Beyond
Apache Iceberg: The Definitive Guide: Data Lakehouse Functionality, Performance, and Scalability on the Data Lake
Apache Iceberg The Definitive Guide Data Lakehouse Functionality, Performance, and Scalability on the Data Lake
Computer Science in Sport Modeling, Simulation, Data Analysis and Visualization of Sports-Related Data
Python for Data Analysis The Ultimate Beginner|s Guide to Data Analytics, Deep Learning
Data-Centric Security in Software Defined Networks (SDN) (Studies in Big Data, 149)
Hands-On Salesforce Data Cloud Implementing and Managing a Real-Time Customer Data Platform
Programming Skills for Data Science Start Writing Code to Wrangle, Analyze, and Visualize Data with R
Hands on Azure Data Studio Microsoft|s Open Platform for Data Engineering and Analytics
Computer Science in Sport: Modeling, Simulation, Data Analysis and Visualization of Sports-Related Data
Core Data for iOS Developing Data-Driven Applications for the iPad, iPhone, and iPod touch
Visualizing Data: Exploring and Explaining Data with the Processing Environment
Sharing Big Data Safely Managing Data Security
Bad Data Handbook Cleaning Up The Data So You Can Get Back To Work
The Data Journalism Handbook: How Journalists Can Use Data to Improve the News
Effective Data Visualization The Right Chart for the Right Data, 2nd Edition
Critical Data Literacies Rethinking Data and Everyday Life
Core Data in Swift Data Storage and Management for iOS and OS X
Data Action Using Data for Public Good (The MIT Press)
Data Science and Big Data Analytics in Smart Environments
Data Driven Harnessing Data and AI to Reinvent Customer Engagement
Data Just Right Introduction to Large-Scale Data & Analytics
Critical Data Literacies Rethinking Data and Everyday Life
Azure Data Factory by Example: Practical Implementation for Data Engineers
Automating Data Quality Monitoring: Going Deeper Than Data Observability
Storytelling with Data: A Data Visualization Guide for Business Professionals
Data Smart: Using Data Science, 2nd Ed. Jordan Goldmeier
Data Visualization and Statistical Literacy for Open and Big Data
Data Fluency Empowering Your Organization with Effective Data Communication
Advances in Data Science Symbolic, Complex, and Network Data
The Left Hand of Data: Designing Education Data for Justice