Discovery Science
Discovery Science
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DOI：
10.1007/978-3-319-11812-3
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
S. Džeroski;P. Panov;D. Kocev;L. Todorovski
中科院分区：
文献类型：
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作者：
S. Džeroski;P. Panov;D. Kocev;L. Todorovski
今年的发现科学国际会议（DS）是该系列的第17次活动。与往年一样，这次会议与已经举办了25年的数学学习理论国际会议（ALT）在同一地点举行。从2001年开始，ALT/DS是计算机科学中持续时间最长的一系列活动之一。在开发和分析发现科学知识的方法方面的最新进展，来自机器学习，数据挖掘和智能数据分析，以及它们在各个科学领域的应用，一方面，与机器学习理论的算法进步的独特结合，另一方面，使这个联合活动的每一个实例都是独特和有吸引力的。
This year’s International Conference on Discovery Science (DS) was the 17th event in this series. Like in previous years, the conference was co-located with the International Conference on Algorithmic Learning Theory (ALT), which is already in its 25th year. Starting in 2001, ALT/DS is one of the longest-running series of co-located events in computer science. The unique combination of recent advances in the development and analysis of methods for discovering scientific knowledge, coming from machine learning, data mining, and intelligent data analysis, as well as their application in various scientific domains, on the one hand, with the algorithmic advances in machine learning theory, on the other hand, makes every instance of this joint event unique and attractive.