DATA MINING BASED STREAM MINING APPROACH: A STREAM MINING BASED APPROACH FOR DYNAMIC ENVIRONMENT USING K-MEANS++ ALGORITHM - Shylaja S
-40% ar kodu BOOKS
Piegāde 15-21 darba dienu laikā
30 dienu atgriešanas politika
The Clustering is one of the most important technique in data mining. It aims partitioning the data into groups of similar objects. That is refered to as clusters. This research compares the StreamKM++ algorithm with the existing work, such as AP, IAPKM and IAPNA. The StreamKM++ algorithm is a new clustering algorithm from the data stream and itto constructs a good clustering of the stream, using a small am ... Pilns apraksts
Jums varētu patikt arī
TOP
If Anyone Builds It, Everyone Dies: Why Superhuman AI Would Kill Us All
Eliezer Yudkowsky, Nate Soares
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
The 21st Century Brain: Cutting edge neuroscience to help us navigate the future
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Gödel, Escher, Bach: An Eternal Golden Braid
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
AI Engineering: Building Applications with Foundation Models
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Python Crash Course: A Hands-On, Project-Based Introduction to Programming
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
How To Think About AI: A Guide For The Perplexed
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
The Rust Programming Language
Steve Klabnik, Carol Nichols, Chris Krycho
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
How to Talk to AI: (And How Not To)
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Why Machines Learn: The Elegant Math Behind Modern AI
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
The Pragmatic Programmer: journey to mastery, 20th Anniversary Edition, 2/e: your journey to mastery, 20th Anniversary Edition
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Hackers. 25th Anniversary Edition: Heroes of the Computer Revolution
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
The Art of Game Design: A Book of Lenses
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
How Linux Works: What Every Superuser Should Know
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Hands-On Large Language Models: Language Understanding and Generation
Maarten Grootendorst, Jay Alammar
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Fundamentals of Software Architecture: A Modern Engineering Approach
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Slanted 47 Digital Tools: Slanted Magazine
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Linux Basics for Hackers, 2nd Edition: Getting Started with Networking, Scripting, and Security in Kali
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Deep Learning: Foundations and Concepts
Christopher M. Bishop, Hugh Bishop
-40% ar kodu BOOKS
Piegādātāja noliktavā
Aprašymas
The Clustering is one of the most important technique in data mining. It aims partitioning the data into groups of similar objects. That is refered to as clusters. This research compares the StreamKM++ algorithm with the existing work, such as AP, IAPKM and IAPNA. The StreamKM++ algorithm is a new clustering algorithm from the data stream and itto constructs a good clustering of the stream, using a small amount of memory and time.Many researchers have done their work with static clustering algorithm, but in real time the data is dynamic in nature. Such as blogs, web pages, audio and video, etc., Hence, the conventional static technique doesn¿t support in real time environment. In this work, the StreamKM++ algorithm is used which achieves high clustering performance over traditional AP, IAPKM and IAPNA. The experimental result shows StreamKM++ algorithm achieves the best result compared with existing work. It has increased the average accuracy rate and reduced the computational time, memory and number of iterations.
Vairāk informācijas
| Autors | Shylaja S |
|---|---|
| Izdevējs | LAP LAMBERT Academic Publishing |
| Izlaides gads | 2024 |
| Vāka tips | Mīkstais vāks |
| EAN | 9786207466627 |