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Springer
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Advances in Knowledge Discovery and Data Mining书籍相关信息
- ISBN：9783540681243
- 作者：Ting, Kai Ming 编
- 出版社：Springer
- 出版时间：2008-06-23
- 页数：1126
- 价格：USD 159.00
- 纸张：暂无纸张
- 装帧：Paperback
- 开本：暂无开本
- 语言：暂无语言
- 适合人群：Researchers, Data Scientists, Data Analysts, Computer Scientists, Software Engineers, Graduate Students in related fields, IT Professionals, Business Intelligence Analysts, Statisticians
- TAG：Machine Learning / Research Methods / Algorithms / Analytics / Artificial Intelligence / Big Data / data mining / Knowledge Discovery / Databases
- 豆瓣评分：暂无豆瓣评分
- 更新时间：2025-05-17 03:58:03
内容简介：
This book constitutes the refereed proceedings of the 12th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2008, held in Osaka, Japan, in May 2008. The 37 revised long papers, 40 revised full papers, and 36 revised short papers presented together with 1 keynote talk and 4 invited lectures were carefully reviewed and selected from 312 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.