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Information Retrieval Technology, Yuexian Hou; Jian-Yun Nie; Le Sun; Bo Wang; Peng Z


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Автор: Yuexian Hou; Jian-Yun Nie; Le Sun; Bo Wang; Peng Z
Название:  Information Retrieval Technology
ISBN: 9783642353406
Издательство: Springer
Классификация: ISBN-10: 3642353401
Обложка/Формат: Paperback
Страницы: 540
Вес: 0.78 кг.
Дата издания: 08.11.2012
Серия: Information Systems and Applications, incl. Internet/Web, and HCI
Язык: English
Размер: 234 x 156 x 29
Основная тема: Computer Science
Подзаголовок: 8th Asia Information Retrieval Societies Conference, AIRS 2012, Tianjin, China, December 17-19, 2012, Proceedings
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Session 1: IR Models.- Exploring and Exploiting Proximity Statistic for Information Retrieval Model.- A Category-integrated Language Model for Question Retrieval in Community Question Answering.- Session 2: Evaluation and User Studies.- The Reusability of a Diversified Search Test Collection.- One Click One Revisited: Enhancing Evaluation Based on Information Units.- A Comparison of Action Transitions in Individual and Collaborative Exploratory Web Search.- Session 3: NLP for IR.- Query-Oriented Keyphrase Extraction.- Using Lexical and Thematic Knowledge for Name Disambiguation.- Sells Out or Piles Up? A Sentiment Autoregressive Model for Predicting Sales Performance.- Session 4: Machine Learning and Data Mining.- Are Human-Input Seeds Good Enough for Entity Set Expansion? Seeds Rewriting by Leveraging Wikipedia Semantic Knowledge.- Combining Modifications to Multinomial Naive Bayes for Text Classification.- Organizing Information on the Web through Agreement-Conflict Relation Classification.- Session 5: Social Media.- Exploiting Twitter for Spiking Query Classification.- Where Are You Settling Down: Geo-locating Twitter Users Based on Tweets and Social Networks.- Detecting Informative Messages Based on User History in Twitter.- Session 6: IR Applications.- A Study on Potential Head Advertisers in Sponsored Search.- Feature Transformation Method Enhanced Vandalism Detection in Wikipedia.- PLIDMiner: A Quality Based Approach for Researchers Homepage Discovery.- Session 7: Multimedia IR and Indexing.- Exploiting and Exploring Hierarchical Structure in Music Recommendation.- Enhancing Music Information Retrieval by Incorporating Image-Based Local Features.- Yet Another Sorting-Based Solution to the Reassignment of Document Identifiers.- Session 8: Collaborative and Federated Search.- What Snippets Say about Pages in Federated Web Search.- CoFox: A Synchronous Collaborative Browser.- Poster Session.- FISER: An Effective Method for Detecting Interactions between Topic Persons.- Cross-Lingual Knowledge Discovery: Chinese-to-English Article Linking in Wikipedia.- Unified Recommendation and Search in E-Commerce.- Identifying Local Questions in Community Question Answering.- Improving Content-Based Image Retrieval by Identifying Least and Most Correlated Visual Words.- Topical Relevance Model.- Adaptive Data Fusion Methods for Dynamic Search Environments.- NMiner: A System for Finding Related Entities by Mining a Bimodal Network.- Combining Signals for Cross-Lingual Relevance Feedback.- A Conceptual Model for Retrieval of Chinese Frequently Asked Questions in Healthcare.- LDA-Based Topic Formation and Topic-Sentence Reinforcement for Graph-Based Multi-document Summarization.- Query Reformulation Based on User Habits for Query-by-Humming Systems.- Query Expansion Based on User Quality in Folksonomy.- Semantically Enriched Clustered User Interest Profile Built from Users Tweets.- Adaptive Weighting Approach to Context-Sensitive Retrieval Model.- Effective Keyword-Based XML Retrieval Using the Data-Centric and Document-Centric Features.- Unsupervised Extraction of Popular Product Attributes from Web Sites.- Aggregating Opinions on Hot Topics from Microblog Responses.- Topic Sequence Kernel.- Opening Machine Translation Black Box for Cross-Language Information Retrieval.- Topic Based Author Ranking with Full-Text Citation Analysis.- Vertical Classification of Web Pages for Structured Data Extraction.- Grid-Based Interaction for Exploratory Search.- Analyzing the Spatiotemporal Effects on Detection of Rain Event Duration.- Outpatient Department Recommendation Based on Medical Summaries.- Actively Mining Search Logs for Diverse Tags.


Career Award Information and Communication Technology: Foundation Level

Автор: P. K. McBride
Название: Career Award Information and Communication Technology: Foundation Level
ISBN: 0521532930 ISBN-13(EAN): 9780521532938
Издательство: Cambridge Academ
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Цена: 2020.00 р.
Наличие на складе: Поставка под заказ.

Описание: Career Award in Information and Communication Technology: Foundation Level accompanies the Cambridge International Examinations (CIE) syllabus for the Career Award in Information and Communication Technology at Foundation Level. It closely matches the content of the syllabus, and has been endorsed by CIE for use with its examination. The author,an information technology specialist, writes in a lively, accessible style and uses a step-by-step approach to introduce students to the basic concepts and skills required.

Information Retrieval Technology

Автор: Rafael Banchs; Fabrizio Silvestri; Tie-Yan Liu; Mi
Название: Information Retrieval Technology
ISBN: 3642450679 ISBN-13(EAN): 9783642450679
Издательство: Springer
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Цена: 6097.00 р.
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Описание: This book constitutes the refereed proceedings of the 9th Information Retrieval Societies Conference, AIRS 2013, held in Singapore, in December 2013. They are organized in the following topical sections: IR theory, modeling and query processing;

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: 14635.00 р.
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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.

Information Retrieval Technology

Автор: Azizah Jaafar; Nazlena Mohamad Ali; Shahrul Azman
Название: Information Retrieval Technology
ISBN: 3319128434 ISBN-13(EAN): 9783319128436
Издательство: Springer
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Цена: 8782.00 р.
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Описание: IR Applications.- Leveraging Deletion Neighborhoods and Trie for Efficient String Similarity Search and Join.- Content-based Medical Image Retrieval System for Infections and Fluids in Chest Radiographs.- Topic-focused Summarization of News Events based on Biased Snippet Extraction and Selection.- Query Ambiguity Identification based on User Behavior Information.- IR Evaluation, User Study and Interactive IR.- Revisiting the Evaluation of Diversified Search Evaluation Metrics with User Preferences.- Hybrid Crowd-Machine Methods as Alternatives to Pooling & Expert Judgments.- How Do Sponsored Search Results Affect User Behavior in Web Search?.- Is the First Query the Most Important: An Evaluation of Query Aggregation Schemes in Session Search.- A Comparative Evaluation of 2D and 3D Visual Exploration of Document Search Results.- Multimedia IR.- Multi-resolution Shape-based Image Retrieval using Ridgelet Transform.- Characteristics Classification of Durian Varieties Images for Knowledge Representation by Using Conceptual Graph.- IR Models and Theories.- Integrating Semantic Term Relations into Information Retrieval Systems based on Language Models.- Towards Risk-Aware Resource Selection.- Personalizing Web Search Results based on Subspace Projection.- Aggregating Results from Multiple Related Queries to Improve Web Search over Sessions.- Modified Frequency-based Term Weighting Scheme for Accurate Dark Web Content Classification.- Web IR, Scalability and IR in Social Media.- Online Social Network Profile Linkage.- User Message Model: A New Approach to Scalable User Modeling on Microblog.- Enhanced FastPFOR for Inverted Index Compression.- Natural Language Processing for IR.- Linguistically Enhanced Collocate Words Model.- Named Entity Extraction via Automatic Labeling and Tri-Training: Comparison of Selection Methods.- Contrastive Max-Sum Opinion Summarization.- Extracting Interest Tags from Twitter User Biographies.- Named Entity Recognition in Crime Using Machine Learning Approach.- A New Combination Method based on Adaptive Genetic Algorithm for Medical Image Retrieval.- Leveraging Wikipedia and Context Features for Clinical Event Extraction from Mixed-Language Discharge Summary.- Impact of Stemmer on Arabic Text Retrieval.- Distance Measures and Stemming Impact on Arabic Document Clustering.- Emotional Links between Structure and Content in Online Communications.- Extraction of Semantic Features from Transaction Dialogues.- Extracting Corpus-Specific Strings by Using Suffix Arrays Enhanced with Longest Common Prefix.- Feasibility Study Concerning the Use of Reasoning Technique in Semantic Reasoners.- Machine Learning & Data Mining for IR.- Nature Inspired Data Mining Algorithm for Document Clustering in Information Retrieval.- Enhancing Machine-Learning Methods for Sentiment Classification of Web Data.- Name Disambiguation by Collective Classifcation.- Hierarchical Dirichlet Process Topic Modeling for Large Number of Answer Types Classification in Open Domain Question Answering.- A Comparative Study of Feature Selection and Machine Learning Algorithms for Arabic Sentiment Classification.- Undersampling Techniques to Re-balance Training Data for Large Scale Learning-to-Rank.- Nurturing Filled Pause Detection for Spontaneous Speech Retrieval.- Analysis of Japanese Wikipedia Category for Constructing Wikipedia Ontology and Semantic Similarity Measure.- Correlation-based Feature Selection for Association Rule Mining in Semantic Annotation of Mammographic Medical Images.- Content Quality of Clustered Latent Dirichlet Allocation Short Summaries.

Information Retrieval Technology

Автор: Sung Hyon Myaeng; Ming Zhou; Kam-Fai Wong; Hong-Ji
Название: Information Retrieval Technology
ISBN: 3540250654 ISBN-13(EAN): 9783540250654
Издательство: Springer
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Цена: 9146.00 р.
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Описание: Constitutes the refereed post-proceedings of the Asia Information Retrieval Symposium, held in China, in October 2004. This book addresses various issues in information retrieval, ranging from algorithmic and methodological issues to application in various fields. Particular emphasis is given to aspects of Asian languages.

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: 10976.00 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.

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: 7074.00 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 Retrieval Technology

Автор: Won-Kyung Sung; Hanmin Jung; Shuo XU; Krisana Chin
Название: Information Retrieval Technology
ISBN: 3319701444 ISBN-13(EAN): 9783319701448
Издательство: Springer
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Цена: 6707.00 р.
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Описание: This book constitutes the refereed proceedings of the 13th Information Retrieval Societies Conference, AIRS 2017, held in Jeju, Korea, in November 2017. The 17 full papers presented were carefully reviewed and selected from numerous submissions.

Information Retrieval Technology

Автор: Guido Zuccon; Shlomo Geva; Hideo Joho; Falk Schole
Название: Information Retrieval Technology
ISBN: 331928939X ISBN-13(EAN): 9783319289397
Издательство: Springer
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Цена: 7806.00 р.
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Описание: This book constitutes the refereed proceedings of the11th Information Retrieval Societies Conference, AIRS 2015, held in Brisbane,QLD, Australia, in December 2015. The 29 full papers presented together with 11 short anddemonstration papers, and the abstracts of 2 keynote lectures were carefullyreviewed and selected from 92 submissions.

Information Retrieval Technology

Автор: Akio Yamada; Helen Meng; Sung Hyon Myaeng
Название: Information Retrieval Technology
ISBN: 3540291865 ISBN-13(EAN): 9783540291862
Издательство: Springer
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Цена: 15855.00 р.
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Описание: Constitutes the refereed proceedings of the Second Asia Information Retrieval Symposium, AIRS 2005, held in Korea, in October 2005. This book addresses various issues in information retrieval, such as: applications, systems, technologies and theoretical aspects of information retrieval in text, audio, image, video and multi-media data.

Information Security Risk Assessment Toolkit,

Автор: Mark Talabis
Название: Information Security Risk Assessment Toolkit,
ISBN: 1597497355 ISBN-13(EAN): 9781597497350
Издательство: Elsevier Science
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Цена: 6736.00 р.
Наличие на складе: Нет в наличии.

Описание: Provides a defendable analysis of residual risk associated with your key assets so that risk treatment options can be explored. This title gives you the tools and skills to get a thorough risk assessment for key stakeholders. It focuses on implementing a process, rather than theory, that allows you to derive a quick and valuable assessment.

Information Technology Policy

Автор: Coopey, Richard
Название: Information Technology Policy
ISBN: 0199241058 ISBN-13(EAN): 9780199241057
Издательство: Oxford Academ
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Цена: 14327.00 р.
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Описание: Information Technology has become a key factor in industry and society in the postwar world and continues to evolve, re-shaping the local and global economy and reorienting comparative and competitive advantages. The production of IT has itself changed and shifted through a number of generations. Government policy towards IT has taken different directions at different times in different countries. The book brings together a series of country-based studies that chart the growth and effectiveness of information technology policy.


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