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Current Trends in Databases - Introduction, part 2 -

Current Trends in Databases - Introduction, part 2 -. Bettina Berendt and Marie-Francine Moens 11 February 2009. Methodology (I) (update of Álvaro‘s intro p. 5). Four sessions during the semester Introduction to the course (This session!)

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Current Trends in Databases - Introduction, part 2 -

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  1. Current Trends in Databases- Introduction, part 2 - Bettina Berendt and Marie-Francine Moens 11 February 2009

  2. Methodology (I)(update of Álvaro‘s intro p. 5) • Four sessions during the semester • Introduction to the course (This session!) • Mini conferences: Presentation and discussion of introductory / intermediate / advanced papers in the three fields/themes: • Friday 6 March in Hasselt • Friday 24 April in Leuven • Friday 8 May in Antwerp

  3. The KUL topics (1)www.cs.kuleuven.be/~berendt/teaching/2008s/ctdb/times_and_topics.html Package 1: Link analysisChapter 7 of Web Data Mining by B. Liu, Springer 2007 (Book website)Package 2: Distributed Web retrievalBaeza-Yates, R., et al., Challenges on Distributed Web Retrieval, ICDE 2007 (PDF via Citeseer)Package  3: Opinion miningChapter 11 of Web Data Mining by B. Liu, Springer 2007 (Book website)       ANDBoiy, E. & Moens, M.-F. (2008). A machine learning approach to sentiment analysis in multilingual Web texts. Information Retrieval. (PDF) Package 4: Personalisation and Recommender systemsMobasher, B. (2007). Data mining for Web personalization, in Brusilovsky et al., The Adaptive Web. Springer  (PDF)

  4. The KUL topics (2)www.cs.kuleuven.be/~berendt/teaching/2008s/ctdb/times_and_topics.html Package 5: Evaluation: the case of recommender systemsHerlocker, J. L., Konstan, J. A., Terveen, L. G., and Riedl, J. T. 2004. Evaluating collaborative filtering recommender systems. ACM Trans. Inf. Syst. 22, 1, 5-53. (PDF)        ANDJameson, A. and Smyth, B. (2007). Recommendation to Groups. in Brusilovsky et al., The Adaptive Web. Springer (PDF via Springer)Package 6: XML Retrieval (basic) Fuhr, N. & Lalmas, M. (2007). Advances in XML retrieval: The INEX initiative. In Proceedings of the International Workshop on Research Issues in Digital Libraries.. (PDF)Additional bibliography: http://nlp.stanford.edu/IR-book/html/htmledition/references-and-further-reading-10.htmlPackage 7: Spam filtering and reputation systems (intermediate)Zheleva, E., Kolcz, A. & Getoor, L. (2008). Trusting spam reporters: A reporter-based reputation system for email filtering. ACM Transactions on Information Systems, 27 (1) (article no. 3). (PDF)Package 8: Efficient faceted search and web query results presentation (advanced) Dash, D., Rao, J., Megiddo, N., Ailamaki, A. & Lohman, G. (2008). Dynamic faceted search for discovery-driven analysis. In Proceedings of the 17th ACM Conference on Information and Knowledge Management (pp. 3-12). New York: ACM. (PDF)

  5. KUL packages and (some of) their relationships See previous course/s is-a prerequisite for Web usage mining related to Web mining Web structure mining Text based Information Retrieval Web content mining

  6. KUL packages and (some of) their relationships See previous course/s is-a prerequisite for Web usage mining related to Web mining Web structure mining 1 Link Analysis Text based Information Retrieval Web content mining 2 Distributed Retrieval 6 XML Retrieval 3 Opinion Mining 7 Spam filtering and reputation systems 4 Personalization and Recommender Systems 8 Efficient faceted search and query results presentation 5 Evaluation (example Rec. Systems)

  7. KUL packages and (some of) their relationships See previous course/s is-a prerequisite for Web usage mining related to Web mining ~ Web structure mining 1 Link Analysis Text based Information Retrieval Web content mining 2 Distributed Retrieval 6 XML Retrieval 3 Opinion Mining 7 Spam filtering and reputation systems 4 Personalization and Recommender Systems 8 Efficient faceted search and query results presentation 5 Evaluation (example Rec. Systems)

  8. “Howto“s • We recommend the excellent book Zobel, J. (2004). Writing for Computer Science. Springer. 2nd edition. www.justinzobel.com • In addition, we have compiled hints on • how you can / should work • how you should review other‘s work ( refereeing, here: “opponent“ role) • how we will evaluate your work

  9. Interlude:Never separate two that belong together ... 1: Lire 2: Écrire How did Sartre become a great writer and intellectual? Let‘s ask his autobiography:

  10. “Howto“s on • how you can / should work • reading (selecting sources) http://vasarely.wiwi.hu-berlin.de/lehre/General/scientific_writing.html • reading (already selected sources) – from Zobel http://vasarely.wiwi.hu-berlin.de/lehre/2004s/kaw/Working_with_scientific_literature.html • writing: http://vasarely.wiwi.hu-berlin.de/lehre/General/guidelines.html • how you should review other‘s work ( refereeing, here: “opponent“ role) • refereeing other work– from Zobel Chapter 10 on Refereeing (photocopies) • giving feedback on oral presentations http://vasarely.wiwi.hu-berlin.de/lehre/feedback_agents.html • how we will evaluate your work • see “writing“ above (PS: Please ignore the concrete tasks on these pages, these do not apply here)

  11. Next step:

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