Download e-book for iPad: Advances in Data Mining. Applications and Theoretical by Petra Perner

By Petra Perner

ISBN-10: 3319089757

ISBN-13: 9783319089751

ISBN-10: 3319089765

ISBN-13: 9783319089768

This e-book constitutes the refereed lawsuits 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 themes variety from theoretical facets of knowledge mining to functions of knowledge mining, equivalent to in multimedia info, in advertising, in drugs and agriculture and in strategy regulate, and society.

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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

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20 Y. Mosallam, A. -G. Ganascia – Scenario (S1) is the baseline method, where we only use the dictionary to tag entity mentions. – Scenario (S2) simply uses 75% of the Manually Annotated Data (MAD) for CRF classification training and tests on the remaining annotated data. – Scenario (S3) is like S2 but in addition to training on a portion of the MAD it uses a dictionary to tag additional data for training. – Scenario (S4) is similar to S3, however it adds to the dictionary look-up of S3 our UNERD in order to disambiguate the dictionary tagged text and make it more reliable for training.

Petersburg National Research University of Information Technologies, Mechanics and Optics, 49, Kronverkskiy Prospekt, Saint-Petersburg, Russia 3 Saint-Petersburg Electrotechnical University “LETI”, Professora Popova str. com Abstract. The paper considers the problem of automated categorization of web sites for systems used to block web pages that contain inappropriate content. In the paper we applied the techniques of analysis of the text, html tags, URL addresses and other information using Machine Learning and Data Mining methods.

502–511. ACM (2004) 12. : Learning block importance models for web pages. In: Proceedings of the 13th International Conference on World Wide Web, pp. 203–211. ACM (2004) 13. : 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.

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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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