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Titlebook: Database Systems for Advanced Applications; DASFAA 2015 Internat An Liu,Yoshiharu Ishikawa,Muhammad Aamir Cheema Conference proceedings 201

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书目名称Database Systems for Advanced Applications
副标题DASFAA 2015 Internat
编辑An Liu,Yoshiharu Ishikawa,Muhammad Aamir Cheema
视频video
概述Includes supplementary material:
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Database Systems for Advanced Applications; DASFAA 2015 Internat An Liu,Yoshiharu Ishikawa,Muhammad Aamir Cheema Conference proceedings 201
描述.DASFAA is an annual international database conference, located in the Asia-Pacific region,which show cases state-of-the-art R & D activities in databases-terms and their applications. It provides a forum for technical presentations and discussions among database researchers, developers and users from academia, business and industry. DASFAA 2015 the 20th in the series, was held during April 20-23, 2015 in Hanoi, Vietnam. In this year, we carefully selected two workshops, each focusing on specific research issues that contribute to the main themes of the DASFAA conference. This volume contains the final versions of papers accepted for the two workshops: Second International Workshop on Semantic Computing and Personalization (SeCoP 2015); Second International Workshop on Big Data Management and Service (BDMS 2015); and a Poster Session. .[All the workshops were selected via a public call-for-proposals process. The workshop organizers put a tremendous amount of effort into soliciting and - lecting papers with a balance of high quality, new ideas and new applications. We asked all workshops to follow a rigid paper selection process, including the procedure to ensure that any Program Co
出版日期Conference proceedings 2015
关键词Big data; Cloud computing; Clustering; Data mining; Database management systems; Database systems; Informa
版次1
doihttps://doi.org/10.1007/978-3-319-22324-7
isbn_softcover978-3-319-22323-0
isbn_ebook978-3-319-22324-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2015
The information of publication is updating

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Schema Matching Based on Source Codeshanging among several authorities. Existing techniques for schema matching are classified as either schema-based, instance-based, or a combination of both. In this paper, we propose a new class of techniques, called schema matching based on source codes. The idea is to exploit the . extracted from t
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Entity Relation Mining in Large-Scale Datarelationship extraction is to explore the relationship between a set of realistic entities. It’s a challenging research field and has a widely application value in the related fields of text mining. In this paper, we propose a newly defined framework called Snowball++ based on the traditional entity
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A Collaborative Filtering Model for Personalized Retweeting Predictionmount of information posted by users and the highly frequent updates in social media, users often face the problem of information overload and miss out of content that they may be interested in. Recommender systems, which recommends an item (e.g., a product, a service and a twitter etc.) to users ba
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