Stream Data Mining: Algorithms and Their Probabilistic Properties - Leszek Rutkowski,Piotr Duda,Maciej Jaworski
-25% koodilla BOOKS
Toimitus 17-23 arkipäivässä
30 päivän palautusoikeus
This book presents a unique approach to stream data mining. Unlike the vast majority of previous approaches, which are largely based on heuristics, it highlights methods and algorithms that are mathematically justified. First, it describes how to adapt static decision trees to accommodate data streams; in this regard, new splitting criteria are developed to guarantee that they are asymptotically equivalent ... Täydellinen kuvaus
Saatat myös pitää
TOP
Gödel, Escher, Bach: An Eternal Golden Braid
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Hackers. 25th Anniversary Edition: Heroes of the Computer Revolution
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
The Web Application Hacker's Handbook: Discovering and Exploiting Security Flaws
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
The Pragmatic Programmer: journey to mastery, 20th Anniversary Edition, 2/e: your journey to mastery, 20th Anniversary Edition
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Mathematics for Machine Learning
Cheng Soon Ong, A. Aldo Faisal, Marc Peter Deisenroth
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
The Art of Game Design: A Book of Lenses
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
How Linux Works: What Every Superuser Should Know
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Artificial Intelligence: A Modern Approach, Global Edition
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Linux Basics for Hackers, 2nd Edition: Getting Started with Networking, Scripting, and Security in Kali
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
AI Engineering: Building Applications with Foundation Models
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Fundamentals of Software Architecture: A Modern Engineering Approach
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
How To Think About AI: A Guide For The Perplexed
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
HBR Guide to Generative AI for Managers
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Speak Data: Artists, Scientists, Thinkers, and Dreamers on How We Live Our Lives in Numbers
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
If Anyone Builds It, Everyone Dies: Why Superhuman AI Would Kill Us All
Eliezer Yudkowsky, Nate Soares
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
The Rust Programming Language
Steve Klabnik, Carol Nichols, Chris Krycho
-25% koodilla BOOKS
Toimittajalla varastossa
Kuvaus
This book presents a unique approach to stream data mining. Unlike the vast majority of previous approaches, which are largely based on heuristics, it highlights methods and algorithms that are mathematically justified. First, it describes how to adapt static decision trees to accommodate data streams; in this regard, new splitting criteria are developed to guarantee that they are asymptotically equivalent to the classical batch tree. Moreover, new decision trees are designed, leading to the original concept of hybrid trees. In turn, nonparametric techniques based on Parzen kernels and orthogonal series are employed to address concept drift in the problem of non-stationary regressions and classification in a time-varying environment. Lastly, an extremely challenging problem that involves designing ensembles and automatically choosing their sizes is described and solved. Given its scope, the book is intended for a professional audience of researchers and practitioners who dealwith stream data, e.g. in telecommunication, banking, and sensor networks.
Lisätietoja
| Kirjoittaja | Leszek Rutkowski, Piotr Duda, Maciej Jaworski |
|---|---|
| Julkaisija | Springer Nature Switzerland |
| Julkaisuvuosi | 2019 |
| Kannen tyyppi | Kovakantinen |
| EAN | 9783030139612 |