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Data Fusion in Information Retrieval, Shengli Wu


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Цена: 18284.00р.
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Автор: Shengli Wu
Название:  Data Fusion in Information Retrieval
ISBN: 9783642448010
Издательство: Springer
Классификация:


ISBN-10: 3642448011
Обложка/Формат: Paperback
Страницы: 228
Вес: 0.37 кг.
Дата издания: 2012
Серия: Adaptation, Learning, and Optimization
Язык: English
Иллюстрации: Biography
Размер: 234 x 156 x 13
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book offers a theoretical and empirical approach to data fusion, used in information retrieval in complex, diverse settings such as web and social networks, legal, enterprise and others. Discusses, analyzes and ealuates typical data fusion algorithms.


Advances in information retrieval

Название: Advances in information retrieval
ISBN: 3642122744 ISBN-13(EAN): 9783642122743
Издательство: Springer
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Цена: 16769.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Constitutes the refereed proceedings of the 32nd annual European Conference on Information Retrieval Research, ECIR 2010, held in Milton Keynes, UK, in March 2010. This book includes the papers that are organized in topical sections on NLP and text mining, Web IR, evaluation, multimedia IR, distributed IR and performance issues, and more.

String Processing and Information Retrieval

Автор: Amihood Amir; Andrew Turpin; Alistair Moffat
Название: String Processing and Information Retrieval
ISBN: 3540890963 ISBN-13(EAN): 9783540890966
Издательство: Springer
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Цена: 9781.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Constitutes the refereed proceedings of the 15th International Symposium on String Processing and Information Retrieval, SPIRE 2008, held in Melbourne, Australia, in November 2008. This book presents the papers that are organized in topical sections on compression and performance, information retrieval scoring and ranking, and self-indexing.

Information Retrieval Technology

Автор: Hang Li; Ting Liu; Wei-Ying Ma; Tetsuya Sakai; Kam
Название: Information Retrieval Technology
ISBN: 3540686339 ISBN-13(EAN): 9783540686330
Издательство: Springer
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Цена: 16769.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The papers are organized in topical sections on IR models image retrieval, text classification, chinese language processing, text processing, application of IR, machine learning, taxonomy, IR methods, information extraction, summarization, multimedia, Web IR, and text clustering.

Information Retrieval Technology

Автор: Dawei Song; Chin-Yew Lin; Akiko Aizawa; Kazuko Kur
Название: Information Retrieval Technology
ISBN: 3642047688 ISBN-13(EAN): 9783642047688
Издательство: Springer
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Цена: 12577.00 р.
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Описание: This book constitutes the refereed proceedings of the 5th Asia Information Retrieval Symposium, AIRS 2009, held in Sapporo, Japan, in October 2009. The 18 revised full papers and 20 revised poster papers presented were carefully reviewed and selected from 82 submissions.

Advances in Information Retrieval Theory

Автор: Leif Azzopardi; Gabriella Kazai; Stephen Robertson
Название: Advances in Information Retrieval Theory
ISBN: 3642044166 ISBN-13(EAN): 9783642044168
Издательство: Springer
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Цена: 12577.00 р.
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Описание: The papers are categorized into four main themes: novel IR models, evaluation, efficiency, and new perspectives in IR. Twenty-one papers fall into the general theme of novel IR models, ranging from various retrieval models, query and term selection models, Web IR models, developments in novelty and diversity, to the modeling of user aspects.

Advances in Information Retrieval

Автор: Mohand Boughanem; Catherine Berrut; Josiane Mothe;
Название: Advances in Information Retrieval
ISBN: 3642009573 ISBN-13(EAN): 9783642009570
Издательство: Springer
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Цена: 18167.00 р.
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Описание: Constitutes the refereed proceedings of the 30th annual European Conference on Information Retrieval Research, ECIR 2009, held in Toulouse, France in April 2009. This book presents 42 revised full papers and 18 revised short papers with the abstracts of 3 invited lectures and 25 poster papers that were reviewed and selected from 188 submissions.

Information Retrieval Methods For Multidisciplinary Applications

Автор: Lu
Название: Information Retrieval Methods For Multidisciplinary Applications
ISBN: 1466638982 ISBN-13(EAN): 9781466638983
Издательство: Mare Nostrum (Eurospan)
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Цена: 25502.00 р.
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Описание: The internet provides a vast amount of data which can be utilised to explore different approaches to solving industry problems. Efficient methods for the retrieval of this information are essential for streamlined business processes. <em>Information Retrieval Methods for Multidisciplinary Applications</em> provides innovative research on information gathering, web data mining, and automation systems. Addressing multidisciplinary applications and focusing on theories and methods with an enterprise-wide perspective, this book is essential for information engineers, scientists, and related professionals.

Information Retrieval Technology

Автор: Shaoping Ma; Ji-Rong Wen; Yiqun Liu; Zhicheng Dou;
Название: Information Retrieval Technology
ISBN: 3319480502 ISBN-13(EAN): 9783319480503
Издательство: Springer
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Цена: 8106.00 р.
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Описание: This book constitutes the refereed proceedings of the 12th Information Retrieval Societies Conference, AIRS 2016, held in Beijing, China, in November/December 2016. The 21 full papers presented together with 11 short papers were carefully reviewed and selected from 57 submissions.

Information Filtering and Retrieval

Автор: Lai
Название: Information Filtering and Retrieval
ISBN: 3319461338 ISBN-13(EAN): 9783319461335
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This book focuses on new research challenges in intelligent information filtering and retrieval. It collects invited chapters and extended research contributions from DART 2014 (the 8th International Workshop on Information Filtering and Retrieval), held in Pisa (Italy), on December 10, 2014, and co-hosted with the XIII AI*IA Symposium on Artificial Intelligence. The main focus of DART was to discuss and compare suitable novel solutions based on intelligent techniques and applied to real-world contexts. The chapters of this book present a comprehensive review of related works and the current state of the art. The contributions from both practitioners and researchers have been carefully reviewed by experts in the area, who also gave useful suggestions to improve the quality of the book.

Advances in Music Information Retrieval

Автор: Zbigniew W. Ras; Alicja Wieczorkowska
Название: Advances in Music Information Retrieval
ISBN: 3642262716 ISBN-13(EAN): 9783642262715
Издательство: Springer
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Цена: 26120.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book collects research performed in music information retrieval domain, and the outcomes, as well as trends in this research. Four sections cover MIR Methods and Platforms, Harmony, Music Similarity, and Content Based Identification and Retrieval.

Information Retrieval

Автор: Braslavski
Название: Information Retrieval
ISBN: 3319417177 ISBN-13(EAN): 9783319417172
Издательство: Springer
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Цена: 6988.00 р.
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Описание: This book constitutes the thoroughly refereed proceedings of the 9th Russian Summer School on Information Retrieval, RuSSIR 2015, held in Saint Petersburg, Russia, in August 2015.The volume includes 5 tutorial papers, summarizing lectures given at the event, and 6 revised papers from the school participants. The papers focus on various aspects of information retrieval.

Advances in Music Information Retrieval

Автор: Zbigniew W. Ras; Alicja Wieczorkowska
Название: Advances in Music Information Retrieval
ISBN: 3642116736 ISBN-13(EAN): 9783642116735
Издательство: Springer
Рейтинг:
Цена: 26122.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book collects research performed in music information retrieval domain, and the outcomes, as well as trends in this research. Four sections cover MIR Methods and Platforms, Harmony, Music Similarity, and Content Based Identification and Retrieval.


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