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Wei Emma Zhang | Akateeminen Kirjakauppa

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Managing Data From Knowledge Bases: Querying and Extraction
Wei Emma Zhang; Quan Z. Sheng
Springer (2018)
Kovakantinen kirja
97,90
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Managing Data From Knowledge Bases: Querying and Extraction
Wei Emma Zhang; Quan Z. Sheng
Springer (2019)
Pehmeäkantinen kirja
107,50
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Advanced Data Mining and Applications - 13th International Conference, ADMA 2017, Singapore, November 5–6, 2017, Proceedings
Gao Cong; Wen-Chih Peng; Wei Emma Zhang; Chengliang Li; Aixin Sun
Springer International Publishing AG (2017)
Pehmeäkantinen kirja
97,90
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Service Research and Innovation : 5th and 6th Australasian Symposium, ASSRI 2015 and ASSRI 2017, Sydney, NSW, Australia, Novembe
Amin Beheshti (ed.); Mustafa Hashmi (ed.); Hai Dong (ed.); Wei Emma Zhang (ed.)
Springer (2018)
Pehmeäkantinen kirja
49,60
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Trust Management in the Internet of Vehicles
Adnan Mahmood; Michael Sheng; Wei Emma Zhang; Sira Yongchareon
Taylor & Francis Ltd (2023)
Kovakantinen kirja
67,50
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Security Framework for The Internet of Things Applications
Salma Abdalla Hamad; Quan Z. Sheng; Wei Emma Zhang
Taylor & Francis Ltd (2024)
Kovakantinen kirja
85,30
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Advanced Data Mining and Applications : 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3–5, 2024, Pr
Quan Z. Sheng (ed.); Gill Dobbie (ed.); Jing Jiang (ed.); Xuyun Zhang (ed.); Wei Emma Zhang (ed.); Yannis (ed Manolopoulos
Springer (2025)
Pehmeäkantinen kirja
72,80
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Advanced Data Mining and Applications : 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3–5, 2024, Pr
Quan Z. Sheng (ed.); Gill Dobbie (ed.); Jing Jiang (ed.); Xuyun Zhang (ed.); Wei Emma Zhang (ed.); Yannis (ed Manolopoulos
Springer (2025)
Pehmeäkantinen kirja
72,80
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Advanced Data Mining and Applications : 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3–5, 2024, Pr
Quan Z. Sheng (ed.); Gill Dobbie (ed.); Jing Jiang (ed.); Xuyun Zhang (ed.); Wei Emma Zhang (ed.); Yannis (ed Manolopoulos
Springer (2025)
Pehmeäkantinen kirja
72,80
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Advanced Data Mining and Applications : 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3–5, 2024, Pr
Quan Z. Sheng (ed.); Gill Dobbie (ed.); Jing Jiang (ed.); Xuyun Zhang (ed.); Wei Emma Zhang (ed.); Yannis (ed Manolopoulos
Springer (2025)
Pehmeäkantinen kirja
72,80
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Advanced Data Mining and Applications : 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3–5, 2024, Pr
Quan Z. Sheng (ed.); Gill Dobbie (ed.); Jing Jiang (ed.); Xuyun Zhang (ed.); Wei Emma Zhang (ed.); Yannis (ed Manolopoulos
Springer (2025)
Pehmeäkantinen kirja
65,00
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Advanced Data Mining and Applications : 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3–5, 2024, Pr
Quan Z. Sheng (ed.); Gill Dobbie (ed.); Jing Jiang (ed.); Xuyun Zhang (ed.); Wei Emma Zhang (ed.); Yannis (ed Manolopoulos
Springer (2025)
Pehmeäkantinen kirja
65,00
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Managing Data From Knowledge Bases: Querying and Extraction
97,90 €
Springer
Sivumäärä: 139 sivua
Asu: Kovakantinen kirja
Julkaisuvuosi: 2018, 11.08.2018 (lisätietoa)
Kieli: Englanti

In this book, the authors first address the research issues by providing a motivating scenario, followed by the exploration of the principles and techniques of the challenging topics. Then they solve the raised research issues by developing a series of methodologies. More specifically, the authors study the query optimization and tackle the query performance prediction for knowledge retrieval. They also handle unstructured data processing, data clustering for knowledge extraction. To optimize the queries issued through interfaces against knowledge bases, the authors propose a cache-based optimization layer between consumers and the querying interface to facilitate the querying and solve the latency issue. The cache depends on a novel learning method that considers the querying patterns from individual’s historical queries without having knowledge of the backing systems of the knowledge base. To predict the query performance for appropriate query scheduling, the authors examine the queries’ structural and syntactical features and apply multiple widely adopted prediction models. Their feature modelling approach eschews the knowledge requirement on both the querying languages and system.



To extract knowledge from unstructured Web sources, the authors examine two kinds of Web sources containing unstructured data: the source code from Web repositories and the posts in programming question-answering communities. They use natural language processing techniques to pre-process the source codes and obtain the natural language elements. Then they apply traditional knowledge extraction techniques to extract knowledge. For the data from programming question-answering communities, the authors make the attempt towards building programming knowledge base by starting with paraphrase identification problems and develop novel features to accurately identify duplicate posts. For domain specific knowledge extraction, the authors propose to use a clustering technique toseparate knowledge into different groups. They focus on developing a new clustering algorithm that uses manifold constraints in the optimization task and achieves fast and accurate performance.



For each model and approach presented in this dissertation, the authors have conducted extensive experiments to evaluate it using either public dataset or synthetic data they generated.



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Tilaustuote | Arvioimme, että tuote lähetetään meiltä noin 4-5 viikossa | Tilaa jouluksi viimeistään 27.11.2024
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Helsinki
Tapiola
Turku
Tampere
Managing Data From Knowledge Bases: Querying and Extractionzoom
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