Abstract
MQL is a system supporting the process of Knowledge Discovery. The central step of knowledge discovery, i.e. the application and combination of data mining steps, is expressed via queries written in an algebraic query language. The query processing engine exploits an XML based representation of queries and data mining models to favor the interoperability of different data mining tools and the expandibility of the system.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Alcamo, P., Domenichini, F., Turini, F.: An XML based environment in support of the overall KDD process. In: Proceedings of the 4th International Conference on Flexible Query Answering Systems, Advances in Soft Computing, pp. 413–424. Springer, Heidelberg (2000)
Baglioni, M.: MQL: una proposta di query language per data mining. Tesi di Laurea, Dipartimento di Informatica. Univ. di Pisa (2001)
Baglioni, M., Cappelli, A., Catarsi, M.N., Michelassi, P., Moretti, L., Tavoni, M., Turini, F.: Knowledge mining and discovery for searching literary texts. In: Proc. of International COnference on Language Resources and Evaluation, Las Palmas (2002)
Bruno, D.: Estensione e sperimentazione di un sistema di knowledge discovery basato su XML. Tesi di Laurea, Dipartimento di Informatica. Univ. di Pisa (2001)
Elfeky, M.G., Saad, A.A., Fouad, S.A.: ODMQL: Object data mining query language. In: Dittrich, K.R., Guerrini, G., Merlo, I., Oliva, M., Rodriguez, M.E. (eds.) ECOOP-WS 2000. LNCS, vol. 1944, pp. 128–140. Springer, Heidelberg (2001)
Han, J., Fu, Y., Wang, W., Chiang, J., Gong, W., Koperski, K., Li, D., Lu, Y., Rajan, A., Stefanovic, N., Xia, B., Zaiane, O.R.: DBMiner: A system for mining knowledge in large relational databases. In: Proc. 1996 Int’l Conf. on Data Mining and Knowledge Discovery (KDD 1996), Portland, Oregon, pp. 250–255 (1996)
Han, J., Fu, Y., Wang, W., Koperski, K., Zaiane, O.: DMQL: A data mining query language for relational databases. In: SIGMOD 1996 Workshop on Research Issues in Data Mining and Knowledge Discovery (DMKD 1996), Montreal, Canada (1996)
Imielinshi, T., Virmani, A.: Msql: A query language for database mining. Data Mining and Knowledge Discovery, 373–408 (1999)
Imielinski, T., Mannila, H.: A database perspective on knowledge discovery. Comm. Of The Acm 39, 58–64 (1996)
Lotus XSL, http://www.alphaworks.ibm.com/formula/xsl
Meo, R., Psaila, G., Ceri, S.: An extension to SQL for mining association rules. Data Mining and Knowledge Discovery, 195–224 (June 1998)
Rutgers Data Mining, http://www.cs.rutgers.edu/mcgrew/explorer/1.3/mine-over-data.html
Morzy, T., Zakrzewicz, M.: Sql-like language for database mining. In: Proceedings of the 1st East-European Symposium on Advances in Databases and Information Systems (ADBIS 1997), Nevsky Dialect, St.-Petersburg, September 2-5, vol. 1, Regular Papers, pp. 311–317 (1997)
Predictive ModelM arkup Language (PMML). Version 2.0, http://www.dmg.org
Quinlan, J.R.: C4.5: Programs for machine learning. Morgan Kaufmann Publ. Inc., San Francisco (1993)
Knowledge Access Suite, http://www.datamining.com/ka-suite.html
Weka: machine learning software in java. Open source software, http://www.cs.waikato.ac.nz/?ml/weka/
Extensible Markup Language (XML) 1.0. W3C Recommendation. 2nd edn., October 6 (2000), http://www.w3.org/TR/REC-xml
IBM’s Alphaworks XML4J, http://www.alphaworks.ibm.com/formula/xml
XQuery 1.0: An XML Query Language, http://www.w3.org/TR/xquery?
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Baglioni, M., Turini, F. (2003). MQL: An Algebraic Query Language for Knowledge Discovery. In: Cappelli, A., Turini, F. (eds) AI*IA 2003: Advances in Artificial Intelligence. AI*IA 2003. Lecture Notes in Computer Science(), vol 2829. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39853-0_19
Download citation
DOI: https://doi.org/10.1007/978-3-540-39853-0_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20119-9
Online ISBN: 978-3-540-39853-0
eBook Packages: Springer Book Archive