for representing data mining models. Predictive analytics Microsoft Excel add-in The PL/SQL package DBMS_PREDICTIVE_ANALYTICS automates the data mining process including data preprocessing, model building and evaluation, and scoring of new data. The PREDICT operation is used for predicting target values classification or regression while EXPLAIN ranks attributes in order of influence in explaining a target column feature selection. The new 11g feature PROFILE finds customer segments and their profiles, given a target attribute. These operations can be used as part of an operational pipeline providing actionable results or displayed for interpretation by end users. References and further reading T. H. Davenport, Competing on Analytics, Harvard Business Review, January 2006. I. Ben-Gal,Outlier detection, In: Maimon O. and Rockach L. (Eds.) Data Mining and Knowledge Discovery Handbook: A Complete Guide for Practitioners and Researchers," Kluwer Academic Publishers, 2005, . M. M. Campos, P. J. Stengard, and B. L. Milenova, Data-centric Automated Data Mining. In proceedings of the Fourth International Conference on Machine Learning and Applications 2005, 15–17 December 2005. pp8, M. F. Hornick, Erik Marcade, and Sunil Venkayala. Java Data Mining: Strategy, Standard, and Practice. Morgan-Kaufmann, 2006, . B. L. Milenova, J. S. Yarmus, and M. M. Campos. SVM in Oracle database 10g: removing the barriers to widespread adoption of support vector machines. In Proceedings of the 31st international Conference on Very Large Data Bases (Trondheim, Norway, August 30 - September 2, 2005). pp1152–1163, . B. L. Milenova and M. M. Campos. O-Cluster: scalable clustering of large high dimensional data sets. In proceedings of the 2002 IEEE International Conference on Data Mining: ICDM 2002. pp290–297, . P. Tamayo, C. Berger, M. M. Campos, J. S. Yarmus, B. L.Milenova, A. Mozes, M. Taft, M. Hornick, R. Krishnan, S.Thomas, M. Kelly, D. Mukhin, R. Haberstroh, S. Stephens and J. Myczkowski. Oracle Data Mining - Data Mining in the Database Environment. In Part VII of Data Mining and Knowledge Discovery Handbook, Maimon, O.; Rokach, L. (Eds.) 2005, p315-1329, . Brendan Tierney, Predictive Analytics using Oracle Data Miner: for the data scientist, oracle analyst, oracle developer & DBA, Oracle Press, McGraw Hill, Spring 2014. See also Oracle LogMiner - in contrast to generic data mining, targets the extraction of information from the internal logs of an Oracle database References External links Oracle Data Mining at Oracle Technology Network. Oracle Data Mining Blog. Oracle Database 11g at Oracle Technology Network. Oracle Data Mining and Analytics Blog. Oracle