This book discusses various partitioning strategies tailored for traditional machine learning algorithms. It examines how data can be divided efficiently to enhance the performance and scalability of classic machine learning models. It explores ho...Loe edasi...
There are awesome discoveries to be made and valuable stories to be told in datasets--and this book will help you uncover them. Whether you already work with data or just want to understand its possibilities, the techniques and advice in this...Loe edasi...
This edited book provides a selection of chapters to improve the understanding of the impact of imbalanced data and its resolving techniques based on the Data Preprocessing, Active Learning, and Cost Perceptive Approaches--...Loe edasi...
(Ilmumisaeg: 04-Jun-2021, Hardback, Kirjastus: Business Science Reference, ISBN-13: 9781799873716)
Offers new aspects for imbalanced data learning by providing the advancements of the traditional methods with respect to big data through case studies and research. The book provides theoretical frameworks and the latest empirical research findings...Loe edasi...
Focusing on a data-centric perspective, this book provides a complete overview of data mining: its uses, methods, current technologies, commercial products, and future challenges.Three parts divide Data Mining:Part I describes technol...Loe edasi...
With a growing ecosystem of tools and libraries available, and the flexibility to run on many platforms (web, desktop and mobile), JavaScript is a terrific all-round environment for all data wrangling needs!Data Wrangling with JavaS...Loe edasi...
Human Capital Systems, Analytics, and Data Mining provides human capital professionals, researchers, and students with a comprehensive and portable guide to human capital systems, analytics and data mining. The main purpo...Loe edasi...
(Ilmumisaeg: 11-Sep-2014, Hardback, Kirjastus: Springer International Publishing AG, ISBN-13: 9783319102467)
Data Preprocessing for Data Mining addresses one of the most important issues within the well-known Knowledge Discovery from Data process. Data directly taken from the source will likely have inconsistencies, errors or most importantly, it...Loe edasi...
After an overview of analytical techniques used in data mining, this book develops a modeling strategy through an iterative data exploration loop and incorporation of domain knowledge. Highlighting new approaches and methodologies, and using case st...Loe edasi...
Sari: The Morgan Kaufmann Series in Data Management Systems
(Ilmumisaeg: 15-Apr-1999, Paperback / softback, Kirjastus: Morgan Kaufmann Publishers In, ISBN-13: 9781558605299)
Data Preparation for Data Mining addresses an issue unfortunately ignored by most authorities on data mining: data preparation. Thanks largely to its perceived difficulty, data preparation has traditionally taken a backseat to the more allu...Loe edasi...
