Data Summarization in Data Mining Conclusion FAQs Try Hevo for Free Share Share To LinkedIn Share To Facebook Share To X Copy Link Data Mining, also known as Knowledge Discovery in Data (KDD), is the process o
p. 332-347.2002Proceedings of Computing in an Imperfect World, First International Conference; Belfast, Northern Ireland. April 2002; p. 332-347.Crangle, C. E. (2002) Text Summarization in Data Mining. In Proc. of Soft-Ware 2002: First International Conference on Computing in an Imperfect ...
Summarization Techniques for Pattern Col- lections in Data Mining. Arxiv preprint cs.DB/0505071, 2005.T. Mielikainen, "Summarization techniques for pattern collections in data mining," Ph.D. Thesis, Department of Computer Science, University of Helsinki, Finland, 2005....
The application of data mining in the field of education is useful, which can help to improve the teaching quality, make scientific management decision. This paper details the data mining application research in Chinese education through relevant literature by retrieval. It analyses the research status...
1. The increasing volume of data in general and specifically textual data (Rydning, 2018) makes text summarization technologies a necessity (Nenkova & McKeown, 2011; Radev et al., 2002; Zhao et al...
In this work, we evaluate and compare the performance of 8 extractive summarization algorithms in the application of summarizing microblogs posted during emergency events. Apart from comparing the performances of the algorithms, we also find significant differences among the summaries produced by different...
(2010) To summarize a method in the compressed domain. Color histogram Open Video Project (OVP) Kosmopoulos et al. (2012) Online task recognition. HMM & HNN TUM kitchen dataset Cricri et al. (2014) Event detection in sports videos Visual and magnetometer data Sports videos Dang and ...
parallelprocessingspacepartitioningAs one of the most important research problems of data analytics and data mining, outlier detection from large datasets has drawn many research attentions in recent years. In this paper, we investigate the interesting research problem of summarizing large datasets for ...
To create a comprehensive benchmark, we also evaluate these models on widely-used conversation summarization datasets to establish strong baselines in this domain. Furthermore, we incorporate argument mining through graph construction to directly model the issues, viewpoints, and assertions present in a...
The paper deals with the concept of data mining whereby the data resources can be fetched and accessed accordingly with reduced time complexity. Resource sharing is an important aspect in the field ofinformation science. The retrieval techniques are pointed out based on the ideas of binary search ...