By Petra Perner
This e-book constitutes the refereed complaints of the 14th commercial convention on Advances in info Mining, ICDM 2014, held in St. Petersburg, Russia, in July 2014. The sixteen revised complete papers awarded have been conscientiously reviewed and chosen from numerous submissions. the subjects diversity from theoretical points of knowledge mining to purposes of knowledge mining, reminiscent of in multimedia information, in advertising, in medication and agriculture and in method regulate, and society.
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Extra info for Advances in Data Mining. Applications and Theoretical Aspects: 14th Industrial Conference, ICDM 2014, St. Petersburg, Russia, July 16-20, 2014. Proceedings
In our experiments, W is set to 2 empirically. Clustering. The second phase of ConstructT emplate algorithm is clustering the segments. In this paper, we use a shingling-based clustering technique to determine almost-similarities, which is based on the method Broder et al. proposed in , for this method has been proved to be highly eﬃcient. The detail of our method is described as follows: First, we sort the shingle list we have obtained in phase 1 by shingle-hash values. The result is presented by the list L of
Second section discusses the main results of relevant research. Third section provides a general description of the developed approach and the basic tasks solved during its development. Special attention is paid to the system characteristics used in the learning process. Essential aspects of procedures of receiving and processing data during the system training phase are presented in fourth section. Brief description of software implementation of the approach and the main results, causing selected decisions on the structure of decision-making procedures and organization of the system are described in fifth and sixth sections respectively.
They are motivated by the heuristics that: for each two input pages, if a sub tree that spans from the document root is detected in both pages, then it is regarded as a template. While these methods are eﬃcient, they are of limited use because of the following two reasons: First, in some Web sites, especially article-type sites, many informative contents have almost identical structures, and they tend to be detected as templates in these methods. Second, since these methods take no text contents of Web pages into consideration, they cannot utilize them to distinguish informative contents from template contents.
Advances in Data Mining. Applications and Theoretical Aspects: 14th Industrial Conference, ICDM 2014, St. Petersburg, Russia, July 16-20, 2014. Proceedings by Petra Perner
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