By Alex A. Freitas (auth.), Jan M. Żytkow, Mohamed Quafafou (eds.)
This e-book constitutes the refereed lawsuits of the second one ecu Symposium on rules of information Mining and data Discovery, PKDD '98, held in Nantes, France, in September 1998.
The quantity offers 26 revised papers comparable to the oral displays given on the convention; additionally incorporated are refereed papers similar to the 30 poster displays. those papers have been chosen from a complete of seventy three complete draft submissions. The papers are equipped in topical sections on rule evaluate, visualization, organization principles and textual content mining, KDD technique and software program, tree development, sequential and spatial facts mining, and characteristic selection.
Read Online or Download Principles of Data Mining and Knowledge Discovery: Second European Symposium, PKDD ’98 Nantes, France, September 23–26, 1998 Proceedings PDF
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Additional resources for Principles of Data Mining and Knowledge Discovery: Second European Symposium, PKDD ’98 Nantes, France, September 23–26, 1998 Proceedings
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Springer (2003) 223–241. 20. , Evans, D. A: Automatic Transliteration for Japanese-to-English Text Retrieval. In Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (2003) 353–360. 21. , Hull, D. , Evans, D. : Towards Effective Strategies for Monolingual and Bilingual Information Retrieval: Lessons Learned from NTCIR-4. ACM Transactions on Asian Language Information Processing. (to appear) 22. , Vines, P: Using the web for automated translation extraction in cross-language information retrieval.
19. , Evans, D. : Resolving Translation Ambiguity Using Monolingual Corpora. , Gonzalo, J. (eds): Advances in Cross-Language Information Retrieval: Third Workshop of the Cross-Language Evaluation Forum, CLEF 2002, Rome, Italy, September 19–20, 2002. Lecture Notes in Computer Science, Vol 2785. Springer (2003) 223–241. 20. , Evans, D. A: Automatic Transliteration for Japanese-to-English Text Retrieval. In Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (2003) 353–360.
Headline generation can be obtained as a weighted combination of the content and structure model log probabilities shown in formula (3). The system was trained on the 3 months Mainichi Shimbun articles((27,133 articles from Jan. to Mar. 1999) for Japanese corpus. We estimate α, β and γ in formula (3) using 5 cross-validation1. Fig. 1 illustrates sample output using Mainichi Shimbun corpus. Numbers to the right are log probabilities of the word sequence. 2 Tracking by Hierarchical Classification In the TDT tracking task, the number of labeled positive training stories is small (at most 16 stories) compared to the negative training stories.