Spyropoulou, E., De Bie, T., Boley, M.: Mining interesting patterns in multi-relational data with n-ary relationships. In: Discovery Science (DS) (2013)Eirini Spyropoulou, Tijl De Bie, and Mario Boley. 2013. Mining Interesting Patterns in Multi-relational Data with N-ary Relationships. ...
Pattern mining is one of the most important aspects of data mining. By far the most popular and well-known approach is frequent pattern mining. That is, to discover patterns that occur in many transactions. This approach has many virtues including monoto
1. 模式 ...作,以提取出有用的信息, 找出有意义且用户有兴趣的模式(Interesting Patterns),为企业管理阶层 的决策提供参考依据。 wenku.baidu.com|基于2个网页 2. 样式 ...作,以萃取出有用的资讯,找出有意义且使用者有兴趣的样式(Interesting Patterns),提供决策者在进行决策时之参考依据。
Concurrency & Computation Practice & ExperienceJiang, F.; Leung, C.K. Mining interesting "following" patterns from social networks. In Proceedings of the International Conference on Data Warehousing and Knowledge Discovery, Munich, Germany, 2-4 September 2014; pp. 308-319....
mining Data consists of finding interesting trends or patterns in large datasets. 翻译结果5复制译文编辑译文朗读译文返回顶部 Data mining consists of finding interesting trends or patterns in large datasets, 相关内容 a丝巾 Silk handkerchief[translate] ...
described as finding the interesting patterns from a large number of discovered patterns. Typically, in a data mining application, it is all too easy to discover a huge number of patterns. Most of these patterns are actually useless or uninteresting to the user. But due to the huge ...
KDD algorithms have made a tremendous progress and have been demonstrated to be of significant value in a variety of real-world applications. Nevertheless, there is a gap between the discovered patterns and the formulated solutions. Currently, this gap is filled by manual or semi-automatic analysis...
As shown in experiments on synthetic data and two real-world datasets, this enables us to mine interesting patterns in small or mid-sized time series. Keywords: time series; motif detection; information theory; subjective interestingness; pattern mining; exploratory data mining...
Indication of family-specific DNA methylation patterns in developing oysters, Claire E. Olson, Steven B. Roberts doi: http://dx.doi.org/10.1101/012831. Notebook to generate results in the paper. Parallel Prefix Polymorphism Permits Parallelization, Presentation & Proof [arXiv], Jiahao Chen and ...
These problems arise because of the variety of patterns and the immense combinatorial possibilities of generating instances when studying relations between variables in subsets of data. First, the user must be saved from getting overwhelmed with a deluge of findings. To restrict the search with ...