Current Trends in Databases Introduction part 2 Bettina

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!) – 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

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

The KUL topics (2) www. cs. kuleuven. be/~berendt/teaching/2008 s/ctdb/times_and_topics. html Package 5: Evaluation: the case of recommender systems Herlocker, 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) AND Jameson, 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/htmledition/referencesand-further-reading-10. html Package 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 17 th ACM Conference on Information and Knowledge Management (pp. 3 -12). New York: ACM. (PDF)

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

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

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

“Howto“s • We recommend the excellent book Zobel, J. (2004). Writing for Computer Science. Springer. 2 nd 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

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

“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. huberlin. de/lehre/2004 s/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)

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