Data Mining - Mehmed Kantardzic [297]
Bar-Or, A., R. Wolff, A. Schuster, D. Keren, Decision Tree Induction in High Dimensional, Hierarchically Distributed Databases, Proceedings of 2005 SIAM International Conference on Data Mining (SDM’05), Newport Beach, CA, April 2005.
Basak, J., R. Kothari, A Classification Paradigm for Distributed Vertically Partitioned Data, Neural Computation, Vol. 16, No. 7, 2004, pp. 1525–1544.
Bhaduri, K., R. Wolff, C. Giannella, H. Kargupta, Distributed Decision-Tree Induction in Peer-to-Peer Systems, Statistical Analysis and Data Mining, Vol. 1, No. 2, 2008, pp. 85–103.
Bishop, C. M., Pattern Recognition and Machine Learning, Springer, New York, 2006.
Branch, J., B. Szymanski, R. Wolff, C. Gianella, H. Kargupta, In-network Outlier Detection in Wireless Sensor Networks, Proceedings of the 26th International Conference on Distributed Computing Systems (ICDCS), July 2006, pp. 102–111.
Cannataro, M., D. Talia, The Knowledge Grid, Communications of the ACM, Vol. 46, No. 1, 2003, pp. 89–93.
Cios, K. J., W. Pedrycz, R. W. Swiniarski, L. A. Kurgan, Data Mining: A Knowledge Discovery Approach, Springer, New York, 2007.
Congiusta, A., D. Talia, P. Trunfio, Service-Oriented Middleware for Distributed Data Mining on the Grid, Journal of Parallel and Distributed Computing, Vol. 68, No. 1, 2008, pp. 3–15.
Copp, C., Data Mining and Knowledge Discovery Techniques, Defence Today, NCW 101, 2008, http://www.ausairpower.net/NCW-101-17.pdf.
Datta, S., K. Bhaduri, C. Giannella, R. Wolff, H. Kargupta, Distributed Data Mining in Peer-to-Peer Networks, IEEE Internet Computing, Vol. 10, No. 4, 2006, pp. 18–26.
Ester, M., H.-P. Kriegel, J. Sander, Spatial Data Mining: A Database Approach, Proceedings of 5th International Symposium on Advances in Spatial Databases, 1997, pp. 47–66.
Faloutsos, C., Mining Time Series Data, Tutorial ICML 2003, Washington, DC, August 2003.
Fuchs, E., T. Gruber, J. Nitschke, B. Sick, On-Line Motif Detection in Time Series with Swift Motif, Pattern Recognition, Vol. 42, 2009, pp. 3015–3031.
Gorodetsky, V., O. Karsaeyv, V. Samoilov, Software Tool for Agent Based Distributed Data Mining, International Conference on Integration of Knowledge Intensive Multi-Agent Systems (KIMAS), Boston, MA, October 2003.
Guo, H., W. Hsu, A Survey of Algorithms for Real-Time Bayesian Network Inference, AAAI-02/KDD-02/UAI-02 Workshop on Real-Time Decision Support and Diagnosis, 2002.
Hammouda, K., M. Kamel, HP2PC: Scalable Hierarchically-Distributed Peer-to-Peer Clustering, Proceedings of the 2007 SIAM International Conference on Data Mining (SDM ’07), Philadelphia, PA, 2007.
Januzaj, E., et al., Towards Effective and Efficient Distributed Clustering, Proceedings of the ICDM 2003 Conference, Florida, 2003.
Keogh, E., Data Mining and Machine Learning in Time Series Databases, Tutorial ECML/PKDD 2003, Cavtat-Dubrovnik (Croatia), September 2003.
Koperski, K., et al., Spatial Data Mining: Progress and Challenges, SIGMOD’96 Workshop on Research Issues on Data Mining and Knowledge Discovery, 1996.
Kotecha, J. H., V. Ramachandran, A. M. Sayeed, Distributed Multitarget Classification in Wireless Sensor Networks, IEEE Journal of Selected Areas in Communications, Vol. 23, No. 4, 2005, pp. 703–713.
Kriegel, H. P., et al., Future Trends in Data Mining, Data Mining and Knowledge Discovery, Vol. 15, 2007, pp. 87–97.
Kumar, A., M. Kantardzic, S. Madden, Guest Editors, Introduction: Distributed Data Mining–Framework and Implementations, IEEE Internet Computing, Vol. 10, No. 4, 2006, pp. 15–17.
Lavrac, N., et al., Introduction: Lessons Learned from Data Mining Applications and Collaborative Problem Solving, Machine Learning, Vol. 57, 2004, pp. 13–34.
Laxman, S., P. S. Sastry, A Survey of Temporal Data Mining, Sadhana, Vol. 31, No. 2, 2006, pp. 173–198.
Li, T., S. Zhu, M. Ogihara, Algorithms for Clustering High Dimensional and Distributed Data, Intelligent Data Analysis Journal, Vol. 7, No. 4, 2003.
Li, S., T. Wu, W. M. Pottenger, Distributed Higher Order Association