مباحث ویژه در پایگاه داده

نام استاد: دکتر رهگذر

نگارش: سارا مصباح

موضوع ارائه اول:

Queryهای زمان دار در OLAP (online analytical processing)

گزارش ارائه اول

اسلاید

مقالات استفاده شده برای این ارائه:

[1] Alejandro Vaisman and Alberto Mendelzon, “A Temporal Query Language for OLAP: Implementation and a case Study”,proceedings of DBPL, 2002

[2] Alberto Mendelzon and Alejandro Vaisman, “Temporal Queries in OLAP”, proceedings of VLDB, 2001

[3] C. Hurtado, A. O. Mendelzon and A. Vaisman. “Updating OLAP dimension” Proceedings of ACM DOLAP 1999

[4] cindy Xinming chen and Carlo Zaniolo “Universal Temporal Extensions for Database Language” proceedings of IEEE 2009

موضوع ارائه دوم:

متن کاوی (Text mining)

گزارش ارائه دوم

اسلاید

لیستی از مقالات استفاده شده:

[Kara_02] Haralampos Karanikas, et.al. An Approach to Text Mining using Information Extraction, 2000

[kanya_07] N. Kanya*, S. Geetha “INFORMATION EXTRACTION -A TEXT MININGAPPROACH” 2007 produced IEEE

[Nahm_05] Raymond J. Mooney and Un Yong Nahm “Text mining with Informatin Exteraction” ,2005

[Rajman_97] M. Rajman “Text mining knowledge extraction from unstructured taxual data” . Proc. of EUROSTAT Conference, Francfort (Deutchland), may, 1997

[Book] Data mining Concepts and Techniques: jiawei Han and Micheline kamber

[Dumais_98] S. Dumais, J. Platt, D. Heckerman, and M. Sahami. Inductive learning algorithms and representations for text categorization. In 7th Int. Conf. on Information and Knowledge Managment, 1998.

[Fayyad_96] U. M. Fayyad, G. Piatetsky-Shapiro, and P. Smyth. Knowledge discovery and data mining: Towards a unifying framework. In Knowledge Discovery and Data Mining, pages 82–88, 1996.

[Feldman_95] R. Feldman and I. Dagan. Kdt - knowledge discovery in texts. In Proc. of the First Int. Conf. on Knowledge Discovery (KDD), pages 112–117, 1995.

[Hastie_01] Hastie, T, Tibshirani, R and Friedman, J., The Elements of Statistical Learning, Springer, 2001

[Joachims_98] T. Joachims. Text categorization with support vector machines: Learning with many relevant features. In C. Nedellec and C. Rouveirol, editors, European Conf. on Machine Learning (ECML), 1998.

[karan_02] H. Karanikas and B. Theodoulidis, ‘Knowledge discovery in text and text mining software’, Technical report, UMIST - CRIM, Manchester, 2002.

[Kanya_07] N. Kanya, S. Geetha "information Extraction –A Text mining approach" ICTES 2007, Dec. 20-22, 2007. pp.1111-1118.

[Karanikas_01] H. Karanikas, c. Tjortjis and B. theodoulidis "an approach to text mining information exteraction" 2001

[Kumar_03]V.Kumar and M.Joshi .What is datamining? http://wwwusers.cs.umn.edu /~mjoshi/hpdmtut/sld004.htm, 2003

[Lafferty_01] J. Lafferty, A. McCallum, and F. Pereira. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In Proc. ICML, 2001.

[Nigam_00] K. Nigam, A. McCallum, S. Thrun, and T. Mitchell. Text classification from labeled and unlabeled documents using em. Machine Learning, 39:103–134, 2000.

[Rabiner_89] L. R. Rabiner. A tutorial on hidden markov models and selected applications in speech recognition. Proc. of IEEE, 77(2):257–286, 1989.

[Rahman_97] M. Rajman. Text Mining, knowledge extraction from unstructured textual data. Proc. of EUROSTAT Conference, Francfort (Deutchland), may, 1997.

[Robertson_77] S. E. Robertson. The probability ranking principle. Journal of Documentation, 33:294–304, 1977.

[Sebas_02] F. Sebastiani. Machine learning in automated text categorization. ACM Computing Surveys, 34:1–47, 2002.

[Salton_75] G. Salton, A. Wong, and C. S. Yang. A vector space model for automatic indexing. Communications of the ACM, 18(11):613–620, 1975. (see also TR74-218, Cornell University, NY, USA).

موضوع پروژه:

استفاده از استخراج قوانين وابستگی از پايگاه داده در سيستم های پيشنهاد دهنده

اسلاید

گزارش پروژه