A conversation with Professor Zhongzhi Shi

Zhongzhi Shi
{"title":"A conversation with Professor Zhongzhi Shi","authors":"Zhongzhi Shi","doi":"10.1145/2207243.2207263","DOIUrl":null,"url":null,"abstract":"Knowledge Discovery from Data (KDD) or Data Mining is a broad area that integrates techniques from several fields including machine learning, statistics, pattern recognition, artificial intelligence, and database systems, for the analysis of large volumes of data. There have been a large number of data mining algorithms rooted in these fields to perform different data analysis tasks. In China, we can divide KDD into 3 milestones: one that is related to machine learning algorithms, one for integrated knowledge discovery from datasets, and one for distributed and parallel KDD.","PeriodicalId":90050,"journal":{"name":"SIGKDD explorations : newsletter of the Special Interest Group (SIG) on Knowledge Discovery & Data Mining","volume":"10 1","pages":"89-90"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SIGKDD explorations : newsletter of the Special Interest Group (SIG) on Knowledge Discovery & Data Mining","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2207243.2207263","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Knowledge Discovery from Data (KDD) or Data Mining is a broad area that integrates techniques from several fields including machine learning, statistics, pattern recognition, artificial intelligence, and database systems, for the analysis of large volumes of data. There have been a large number of data mining algorithms rooted in these fields to perform different data analysis tasks. In China, we can divide KDD into 3 milestones: one that is related to machine learning algorithms, one for integrated knowledge discovery from datasets, and one for distributed and parallel KDD.
与史忠植教授的对话
从数据中发现知识(KDD)或数据挖掘是一个广泛的领域,它集成了多个领域的技术,包括机器学习、统计学、模式识别、人工智能和数据库系统,用于分析大量数据。在这些领域中已经有大量的数据挖掘算法来执行不同的数据分析任务。在中国,我们可以将KDD划分为3个里程碑:一个与机器学习算法相关,一个与数据集集成知识发现相关,一个与分布式并行KDD相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信