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Titlebook: Advances in Knowledge Discovery and Data Mining; 13th Pacific-Asia Co Thanaruk Theeramunkong,Boonserm Kijsirikul,Tu-Bao Conference proceed

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发表于 2025-3-21 18:57:41 | 显示全部楼层 |阅读模式
期刊全称Advances in Knowledge Discovery and Data Mining
期刊简称13th Pacific-Asia Co
影响因子2023Thanaruk Theeramunkong,Boonserm Kijsirikul,Tu-Bao
视频video
学科分类Lecture Notes in Computer Science
图书封面Titlebook: Advances in Knowledge Discovery and Data Mining; 13th Pacific-Asia Co Thanaruk Theeramunkong,Boonserm Kijsirikul,Tu-Bao  Conference proceed
影响因子This book constitutes the refereed proceedings of the 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009, held in Bangkok, Thailand, in April 2009. The 39 revised full papers and 73 revised short papers presented together with 3 keynote talks were carefully reviewed and selected from 338 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD-related areas including data mining, data warehousing, machine learning, databases, statistics, knowledge acquisition, automatic scientific discovery, data visualization, causal induction, and knowledge-based systems.
Pindex Conference proceedings 2009
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/148638.jpg
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https://doi.org/10.1007/978-3-319-78521-9ge relational databases. By hidden structural information we mean the information that cannot be easily found using a traditional query language SQL. In this talk, we discuss how to find hidden structural information in a relational database by viewing a relational database as a large directed graph
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Weight Disorders in Short Children,of magnitude more content is created daily to flow through social networks, with as much as two more orders of magnitude still to come as user engagement increases. Content is diversifying in creation, consumption, and nature. Web search engines provide rapid targeted access to this page content, an
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Pathological Findings for Esophageal Varicesepresent any interaction among entities, for example between people or even bank accounts. The need for link discovery arises in many applications including law enforcement, counter-terrorism, social network analysis, intrusion detection, and fraud detection. Given the sensitive nature of informatio
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Liver and Spleen Stiffness Measurement work showed that the simple technique of anonymizing graphs by replacing the identifying information of the nodes with random ids does not guarantee privacy since the identification of the nodes can be seriously jeopardized by applying subgraph queries. In this paper, we investigate how well an edg
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