Handbook of Research on Innovations in Information Retrieval, Analysis, and Management, Jorge Tiago Martins, Andreea Molnar

Автор: Xiang Ren, Jiawei Han
Название: Mining Structures of Factual Knowledge from Text: An Effort-Light Approach
ISBN: 1681733943 ISBN-13(EAN): 9781681733944
Издательство: Mare Nostrum (Eurospan)
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Цена: 102570.00 T
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Описание: The real-world data, though massive, is largely unstructured, in the form of natural-language text. It is challenging but highly desirable to mine structures from massive text data, without extensive human annotation and labeling. In this book, we investigate the principles and methodologies of mining structures of factual knowledge (e.g., entities and their relationships) from massive, unstructured text corpora.Departing from many existing structure extraction methods that have heavy reliance on human annotated data for model training, our effort-light approach leverages human-curated facts stored in external knowledge bases as distant supervision and exploits rich data redundancy in large text corpora for context understanding. This effort-light mining approach leads to a series of new principles and powerful methodologies for structuring text corpora, including (1) entity recognition, typing and synonym discovery, (2) entity relation extraction, and (3) open-domain attribute-value mining and information extraction. This book introduces this new research frontier and points out some promising research directions.

Автор: Xiang Ren, Jiawei Han
Название: Mining Structures of Factual Knowledge from Text: An Effort-Light Approach
ISBN: 1681733927 ISBN-13(EAN): 9781681733920
Издательство: Mare Nostrum (Eurospan)
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Цена: 82230.00 T
Наличие на складе: Невозможна поставка.
Описание: The real-world data, though massive, is largely unstructured, in the form of natural-language text. It is challenging but highly desirable to mine structures from massive text data, without extensive human annotation and labeling. In this book, we investigate the principles and methodologies of mining structures of factual knowledge (e.g., entities and their relationships) from massive, unstructured text corpora.Departing from many existing structure extraction methods that have heavy reliance on human annotated data for model training, our effort-light approach leverages human-curated facts stored in external knowledge bases as distant supervision and exploits rich data redundancy in large text corpora for context understanding. This effort-light mining approach leads to a series of new principles and powerful methodologies for structuring text corpora, including (1) entity recognition, typing and synonym discovery, (2) entity relation extraction, and (3) open-domain attribute-value mining and information extraction. This book introduces this new research frontier and points out some promising research directions.

Автор: Cairns Paul
Название: Doing Better Statistics in Human-Computer Interaction
ISBN: 110848252X ISBN-13(EAN): 9781108482523
Издательство: Cambridge Academ
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Цена: 102430.00 T
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Описание: Written for human-computer interaction (HCI) researchers - whether undergraduates, professors, or UX professionals who need to analyse quantitative data - this book helps to improve readers` knowledge of the modern best practice in statistics and their understanding of how to do statistical analysis on their own data.

Автор: Cairns Paul
Название: Doing Better Statistics in Human-Computer Interaction
ISBN: 110871059X ISBN-13(EAN): 9781108710596
Издательство: Cambridge Academ
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Цена: 33790.00 T
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Описание: Written for human-computer interaction (HCI) researchers - whether undergraduates, professors, or UX professionals who need to analyse quantitative data - this book helps to improve readers` knowledge of the modern best practice in statistics and their understanding of how to do statistical analysis on their own data.

Автор: Li Yan
Название: Handbook of Research on Innovative Database Query Processing Techniques
ISBN: 1466687673 ISBN-13(EAN): 9781466687677
Издательство: Mare Nostrum (Eurospan)
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Цена: 325250.00 T
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Описание: Focuses on database query processing methods, technologies, and applications. Aimed at providing an all-inclusive reference source of technologies and practices in advanced database query systems, this book investigates various techniques, including database and XML queries, spatiotemporal data queries, big data queries, metadata queries, and applications of database query systems.

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: 111790.00 T
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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.

Название: Advances in information retrieval
ISBN: 3642122744 ISBN-13(EAN): 9783642122743
Издательство: Springer
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Цена: 111790.00 T
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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.

Автор: Shengli Wu
Название: Data Fusion in Information Retrieval
ISBN: 3642448011 ISBN-13(EAN): 9783642448010
Издательство: Springer
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Цена: 121890.00 T
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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.

Автор: Lu
Название: Information Retrieval Methods For Multidisciplinary Applications
ISBN: 1466638982 ISBN-13(EAN): 9781466638983
Издательство: Mare Nostrum (Eurospan)
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Цена: 170010.00 T
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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.

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: 121110.00 T
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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.

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: 83850.00 T
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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.

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: 65210.00 T
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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.