By Petra Perner

ISBN-10: 3319089757

ISBN-13: 9783319089751

ISBN-10: 3319089765

ISBN-13: 9783319089768

This ebook constitutes the refereed court cases of the 14th business convention on Advances in info Mining, ICDM 2014, held in St. Petersburg, Russia, in July 2014. The sixteen revised complete papers provided have been rigorously reviewed and chosen from a number of submissions. the subjects variety from theoretical facets of information mining to functions of information mining, equivalent to in multimedia facts, in advertising, in medication and agriculture and in method keep an eye on, 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

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A fast and robust method for web page template detection and removal. In: Proceedings of the 15th ACM International Conference on Information and Knowledge Management, pp. 258–267. ACM (2006) 14. : Data-rich section extraction from html pages. In: Proceedings of the Third International Conference on Web Information Systems Engineering, WISE 2002, pp. 313–322. IEEE (2002) 15. : Web page cleaning for web mining through feature weighting. In: International Joint Conference on Artificial Intelligence, vol.

In section 4, we describe the approach for template detection. And experiments are discussed in Section 5. Finally, we draw a conclusion of this study and outline directions in Section 6. 26 2 B. Gao and Q. Fan Related Work The problem of detecting templates and extracting informative contents of Web pages has been addressed in many previous research papers. Most of the proposed methods are based on machine learning or heuristics. The problem was first discussed by Bar-Yossef and Rajagopalan in [1], proposing two template detection algorithms based on DOM tree segmentation and segment selection.

Fine grained classification of named entities. In: Proceedings of the 19th International Conference on Computational Linguistics, vol. 1, pp. 1–7. Association for Computational Linguistics (2002) Unsupervised Named Entity Recognition and Disambiguation 23 4. : Proper name extraction from non-journalistic texts. Language and Computers 37(1), 144–157 (2001) 5. : Language independent named entity recognition combining morphological and contextual evidence. In: Proceedings of the 1999 Joint SIGDAT Conference on EMNLP and VLC, pp.

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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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