DATA QUALITY MINING IMPLEMENTATION
ON SKK MIGAS SISTEM OPERASI TERPADU (SOT) DATA Page 75 of 95
Bobby Suryajaya
REFERENCES
Ackoff, R.L., 1989. From Data to Wisdom. In Journal of Applied Systems Analysis., 1989.
Aggarwal, C.C., 2013. Outlier Analysis. London: Springer New York.
Akthar, F. & Hahne, C., n.d. RapidMiner Documentation. [Online] RapidMiner Available at: http://1xltkxylmzx3z8gd647akcdvov.wpengine.netdna-cdn.com/wp- content/uploads/2013/10/RapidMiner_OperatorReference_en.pdf [Accessed December 2013].
Berti-Équille, L. & Dasu, T., 2009. Data Quality Mining: New Research Directions. In ICDM. Miami, 2009.
Breunig, M.M., Kriegel, H.-P., Ng, R.T. & Sander†, J., 2000. LOF: Identifying Density-Based Local Outliers. In Proc. ACM SIGMOD 2000 Int. Conf. On Management of Data. Dalles, TX, 2000.
Ceri, S. et al., 2013. Classification and Clustering. In Web Information Retrieval.
Springer Berlin Heidelberg. pp.39-56.
Chapman, P., Clinton, J. & Wirth, R., 2000. CRISP-DM 1.0 Step-by-step data mining guide. [Online] Available at: http://www.crisp-dm.org/.
Chiu, Lai-mei, A. & Fu, A.W.-c., 2003. Enhancements on local outlier detection. In Database Engineering and Applications Symposium., 2003. IEEE.
Dash, M. & Liu, H., 1997. Feature Selection for Classification. Intelligent Data Analysis 1 , pp.131-56.
Dasu, T. & Johnson, T., 2003. Exploratory Data Mining and Data Cleaning. New Jersey: A JOHN WILEY & SONS, INC.
Eichinger, F., Pathmaperuma, D., Vogt, H. & Muller, E., 2013. Data Analysis Challenges in the Future Energy Domain. In T. Yu, N. Chawla & S. Simoff, eds.
Computational Intelligent Data Analysis for Sustainable Development. Chapman and Hall/CRC.
DATA QUALITY MINING IMPLEMENTATION
ON SKK MIGAS SISTEM OPERASI TERPADU (SOT) DATA Page 76 of 95
Bobby Suryajaya
Ester, M., Kriegel, H.-P., Sander, J. & Xu, X., 1996. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise. In 2nd International Conference on Knowledge Discovery and Data Mining (KDD-96)., 1996.
Fayyad, U., Piatetsky-Shapiro, G. & Smyth, P., 1996. From Data Mining to Knowledge Discovery in Databases., 1996. American Association for Artificial Intelligence.
Han, J. & Kamber, M., 2006. Data Mining: Concepts and Techniques. 2nd ed. San Francisco: Morgan Kaufmann.
Hawkins, D.M., 1980. Identification of Outliers. New York: Chapman and Hall London.
Hipp, J., Güntzer, U. & Grimmer, a.U., 2001. Data Quality Mining-Making a Virute of Necessity. In DMKD., 2001.
Hipp, J. & Lindner, G., 1999. Analysing Warranty Claims of Automobiles - An Application Description Following the CRISP-DM Data Mining Process., 1999.
Proceedings of 5th International Computer Science Conference (ICSC '99).
Ilango, V., Subramanian, R. & Vasudevan, V., 2011. Cluster Analysis Research Design model, problems, issues, challenges, trends and tools. International Journal on Computer Science and Engineering, III(ISSN : 0975-3397), pp.3064-70.
Khosravani, H.R., 2012. Proposing an Improved Semantic and Syntactic Data Quality Mining Method using Clustering and Fuzzy Techniques. In nternational Journal of Applied Information Systems (IJAIS). New York, USA , 2012. oundation of Computer Science FCS.
Kotsiantis, S. & Kanellopoulos, D., 2006. Association Rules Mining: A Recent Overview. GESTS International Transactions on Computer Science and Engineering, 32 (1), pp.71-82.
Maimon, O. & Rokach, L., 2010. Data Mining and Knowledge Discovery Handbook.
2nd ed. New York: Springer.
DATA QUALITY MINING IMPLEMENTATION
ON SKK MIGAS SISTEM OPERASI TERPADU (SOT) DATA Page 77 of 95
Bobby Suryajaya
Mohaghegh, S.D., 2002. Essential Components of an Integrated Data Mining Tool for the Oil & Gas Industry, With an Example Application in the DJ Basin. In SPE Annual Technical Conference and Exhibition., 2002. Society of Petroleum Engineers Inc..
Pachgade, S.D. & Dhande, S.S., 2012. Outlier Detection over Data Set Using Cluster- Based and Distance-Based Approach. In International Journal of Advanced Research in Computer Science and Software Engineering. India, 2012.
Pamula, R., Deka, J.K. & Nandi, S., 2011. An Outlier Detection Method based on Clustering. In Second International Conference on Emerging Applications of Information Technology., 2011. IEEE.
Raileanu, L.E. & Stoffel, K., 2004. Theoretical comparison between the Gini Index and Information Gain criteria. Annals of Mathematics and Artificial Intelligence, 41, pp.77–93.
Rapid-I, n.d. Rapid Miner online tutorial that can be accessed from Help menu.
[Online] Available at: http://rapid-i.com/content/view/181/196/.
Redman, C., T. & Blanton, A., 1997. Data quality for the information age. Artech House, Inc.
Republik Indonesia, 2013. Upstream Oil & Gas Activity. In Peraturan Presiden (PERPRES). Jakarta, 2013.
SKK Migas RI, 2012. Pedoman Tata kerja Sistem Operasi Terpadu. Jakarta, 2012.
SKK Migas RI, 2013. SKK Migas Profile. [Online] Available at:
http://www.skkmigas.go.id/en/tentang-kami/profil.
Suryajaya, B., Aryani, F.P., Devarakonda, U.B. & Erwin, A., 2013. Research on E&P Efficiency Metrics to support SKMIGAS Mission utilizing CRISP-DM Methodology.
In The 2013 International Conference on Advances in Intelligent Systems in Bioinformatics, Chem-Informatics, Business Intelligence, Social Media and Cybernetics (IntelSys)., 2013.
Suryajaya, B., Lim, C. & Ibrahim, B., 2013. SKK Migas SOT – Performance Evaluation for Secure Data Exchange for Oil & Gas Contractors. In The 2013
DATA QUALITY MINING IMPLEMENTATION
ON SKK MIGAS SISTEM OPERASI TERPADU (SOT) DATA Page 78 of 95
Bobby Suryajaya
International Conference on Internet Services Technology and Information Engineering (ISTIE 2013)., 2013. American Scientific Publishers.
Tang, J., Chen, Z., Fu, A.W. & Cheung, D.W., 2007. Capabilities of outlier detection schemes in large datasets, framework and methodologies. Knowledge and Information Systems 11, 1, pp.45-84.
Tan, P.-N., Steinbach, M. & Kumar, V., 2006. Introduction to Data Mining. Pearson International.
Wang, T., Gao, X.-w. & Li, K., 2012. Application of Data Mining to Production Operation and Control System in Oil Field. In 2012 24th Chinese Control and Decision Conference (CCDC)., 2012. IEEE.
Wang, S. & Wang, H., n.d. Mining Data Quality in Completeness.
Wirth, R. & Hipp, J., 2000. CRISP-DM: Towards a standard process model for data mining., 2000. Proceedings of the Fourth International Conference on the Practical Application of Knowledge Discovery and Data Mining.
Witten, I.H. & Frank, E., 2005. Data Mining, Practical Machine Learning Tools and Techniques. Morgan Kaufman.