Feature Selection for Knowledge Discovery and Data Mining, Huan Liu; Hiroshi Motoda
Автор: Urszula Sta?czyk; Lakhmi C. Jain Название: Feature Selection for Data and Pattern Recognition ISBN: 3662508451 ISBN-13(EAN): 9783662508459 Издательство: Springer Рейтинг: Цена: 18284.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This research book provides the reader with a selection of high-quality texts dedicated to current progress, new developments and research trends in feature selection for data and pattern recognition.
Описание: This book reports on an outstanding thesis thathas significantly advanced the state-of-the-art in the automated analysis andclassification of speech and music.
Автор: Tu Duy Linh Название: Feature and Narrative Storytelling for Multimedia Journalists ISBN: 0415729076 ISBN-13(EAN): 9780415729079 Издательство: Taylor&Francis Рейтинг: Цена: 23734.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The first text that truly focuses on multimedia and documentary production techniques that are based on the needs of modern professional journalists. Whether you`re a student of journalism or a professional journalist looking to learn new skills or to retool yourself for the new digital newsroom, this book will give you the skills you need.
Автор: Huan Liu; Hiroshi Motoda Название: Feature Selection for Knowledge Discovery and Data Mining ISBN: 079238198X ISBN-13(EAN): 9780792381983 Издательство: Springer Рейтинг: Цена: 37594.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Shows the essence of representative feature selection methods and compares them using data sets with combinations of intrinsic properties according to the objective of feature selection. This book suggests guidelines on how to use different methods under various circumstances and points challenges in this area. It is intended as a reference book.
Автор: Urszula Sta?czyk; Lakhmi C. Jain Название: Feature Selection for Data and Pattern Recognition ISBN: 3662456192 ISBN-13(EAN): 9783662456194 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This research book provides the reader with a selection of high-quality texts dedicated to current progress, new developments and research trends in feature selection for data and pattern recognition.
Автор: Ver?nica Bol?n-Canedo; Noelia S?nchez-Maro?o; Ampa Название: Feature Selection for High-Dimensional Data ISBN: 3319218573 ISBN-13(EAN): 9783319218571 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Introduction to High-Dimensionality.- Foundations of Feature Selection.- Experimental Framework.- Critical Review of Feature Selection Methods.- Application of Feature Selection to Real Problems.- Emerging Challenges.
Автор: Urszula Sta?czyk; Beata Zielosko; Lakhmi C. Jain Название: Advances in Feature Selection for Data and Pattern Recognition ISBN: 3319675877 ISBN-13(EAN): 9783319675879 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents recent developments and research trends in the field of feature selection for data and pattern recognition, highlighting a number of recent advances. The field of feature selection is evolving constantly, providing numerous new algorithms, new solutions and new applications.
Автор: Huan Liu; Hiroshi Motoda Название: Feature Extraction, Construction and Selection ISBN: 0792381963 ISBN-13(EAN): 9780792381969 Издательство: Springer Рейтинг: Цена: 40389.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Data pre-processing is an essential step in the knowledge discovery process for real-world applications. This book compiles contributions from researchers in this field and offers the techniques that can boost the capabilities of many data mining tools. It is suitable for researchers and graduate students in machine learning and data mining.
Автор: Craig Saunders; Marko Grobelnik; Steve Gunn; John Название: Subspace, Latent Structure and Feature Selection ISBN: 3540341374 ISBN-13(EAN): 9783540341376 Издательство: Springer Рейтинг: Цена: 9083.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed post-proceedings of the PASCAL (pattern analysis, statistical modelling and computational learning) Statistical and Optimization Perspectives Workshop on Subspace, Latent Structure and Feature Selection techniques, SLSFS 2005.
Автор: Huan Liu; Hiroshi Motoda Название: Feature Extraction, Construction and Selection ISBN: 146137622X ISBN-13(EAN): 9781461376224 Издательство: Springer Рейтинг: Цена: 27950.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Sven Apel; Don Batory; Christian K?stner; Gunter S Название: Feature-Oriented Software Product Lines ISBN: 3662513005 ISBN-13(EAN): 9783662513002 Издательство: Springer Рейтинг: Цена: 9083.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book focuses on the development, maintenance, and implementation of product-line variability. It features a broad classification of tools and techniques for all stages of the development process and a detailed discussion of tradeoffs.
Автор: Basant Agarwal; Namita Mittal Название: Prominent Feature Extraction for Sentiment Analysis ISBN: 3319253417 ISBN-13(EAN): 9783319253411 Издательство: Springer Рейтинг: Цена: 18284.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
1 Introduction
2 Literature Survey
3 Machine Learning Approach for Sentiment Analysis
4 Semantic Parsing using Dependency Rules
5 Sentiment Analysis using ConceptNet Ontology and Context
Information
6 Semantic Orientation based Approach for Sentiment Analysis
7 Conclusions and FutureWork
References
Glossary Index
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