By Petra Perner
This e-book constitutes the refereed complaints of the 14th commercial convention on Advances in information Mining, ICDM 2014, held in St. Petersburg, Russia, in July 2014. The sixteen revised complete papers awarded have been conscientiously reviewed and chosen from quite a few submissions. the subjects diversity from theoretical elements of information mining to functions of knowledge mining, reminiscent of in multimedia facts, in advertising and marketing, in medication and agriculture and in technique keep watch over, and society.
Read Online or Download Advances in Data Mining. Applications and Theoretical Aspects: 14th Industrial Conference, ICDM 2014, St. Petersburg, Russia, July 16-20, 2014. Proceedings PDF
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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
Gravitie is set as X of a training data and its result gained in phase 3 as Y . Given a new segment s, we can ﬁnd the most nth nearest clusters and classify s into template by checking if the number of template clusters is larger than the number of inf ormative clusters. Identifying template clusters and creating template-classiﬁers for all the nodes in the SSOM tree can be easily done by traversing the SSOM tree, and therefore we will not discuss it further more. 3 Detecting Template Here we present the last step of template detection algorithm, as shown in Algorithm 5.
For classification of web pages Xu et al.  proposed the algorithm called Link Information Categorization (LIC), based on the k nearest neighbors (kNN) method. Its essence lies in the definition of the category of the classified web page based on analyzing links that other web pages make to this one. Calculation of relation level of web pages containing links to a particular category is done. The classification is performed by nine categories. In general, it should be noted that most often used features that are applied for web page classification are extracted from the page text content.
If an element contains more than K links, it is considered as a segment, otherwise it is counted as part of a segment containing it. And then template segments were selected by one of the above two template detection algorithms. A similar method was proposed by Ma et al. in , which segments pages by table text chunk. All table text chunks are identiﬁed as template table text chunk if their document frequency is over a determined threshold. Wang et al.  proposed DSE (Data-rich Subtree Extraction) algorithm to recognize and extract the informative contents of Web page by matching simpliﬁed DOM trees.