官方網(wǎng)站:http://link.springer.com/journal/10618
投稿網(wǎng)址:http://www.springer.com/journal/10618/submission
The premier technical publication in the field, Data Mining and Knowledge Discovery is a resource collecting relevant common methods and techniques and a forum for unifying the diverse constituent research communities.The journal publishes original technical papers in both the research and practice of data mining and knowledge discovery, surveys and tutorials of important areas and techniques, and detailed descriptions of significant applications.Coverage includes:- Theory and Foundational Issues- Data Mining Methods- Algorithms for Data Mining- Knowledge Discovery Process- Application Issues.
數(shù)據(jù)挖掘和知識(shí)發(fā)現(xiàn)領(lǐng)域的首要技術(shù)出版物是一個(gè)收集相關(guān)通用方法和技術(shù)的資源,也是一個(gè)統(tǒng)一不同組成研究群體的論壇。該雜志發(fā)表了原始的技術(shù)論文,包括數(shù)據(jù)挖掘和知識(shí)發(fā)現(xiàn)的研究和實(shí)踐,重要領(lǐng)域和技術(shù)的調(diào)查和教程,以及重要應(yīng)用的詳細(xì)描述。保險(xiǎn)范圍包括:-理論與基礎(chǔ)問(wèn)題-數(shù)據(jù)挖掘方法-數(shù)據(jù)挖掘算法-知識(shí)發(fā)現(xiàn)過(guò)程-應(yīng)用程序問(wèn)題。
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