Online Book Reader

Home Category

Data Mining_ Concepts and Techniques - Jiawei Han [389]

By Root 1655 0
Knowledge and Data Engineering 16 (2004) 922–938.

[DHS01] Duda, R.O.; Hart, P.E.; Stork, D.G., Pattern Classification. 2nd ed. (2001) John Wiley & Sons .

[DJ03] Dasu, T.; Johnson, T., Exploratory Data Mining and Data Cleaning. (2003) John Wiley & Sons .

[DJMS02] Dasu, T.; Johnson, T.; Muthukrishnan, S.; Shkapenyuk, V., Mining database structure; or how to build a data quality browser, In: Proc. 2002 ACM-SIGMOD Int. Conf. Management of Data (SIGMOD’02) Madison, WI. (June 2002), pp. 240–251.

[DL97] Dash, M.; Liu, H., Feature selection methods for classification, Intelligent Data Analysis 1 (1997) 131–156.

[DL99] Dong, G.; Li, J., Efficient mining of emerging patterns: Discovering trends and differences, In: Proc. 1999 Int. Conf. Knowledge Discovery and Data Mining (KDD’99) San Diego, CA. (Aug. 1999), pp. 43–52.

[DLR77] Dempster, A.P.; Laird, N.M.; Rubin, D.B., Maximum likelihood from incomplete data via the EM algorithm, J. Royal Statistical Society, Series B 39 (1977) 1–38.

[DLY97] Dash, M.; Liu, H.; Yao, J., Dimensionality reduction of unsupervised data, In: Proc. 1997 IEEE Int. Conf. Tools with AI (ICTAI’97) (1997) IEEE Computer Society, Newport Beach, CA, pp. 532–539.

[DM02] Dasgupta, D.; Majumdar, N.S., Anomaly detection in multidimensional data using negative selection algorithm, In: Proc. 2002 Congress on Evolutionary Computation (CEC’02) Washington, DC. (2002), pp. 1039–1044; Chapter 12.

[DNR+97] Deshpande, P.; Naughton, J.; Ramasamy, K.; Shukla, A.; Tufte, K.; Zhao, Y., Cubing algorithms, storage estimation, and storage and processing alternatives for OLAP, Bull. Technical Committee on Data Engineering 20 (1997) 3–11.

[Dob90] Dobson, A.J., An Introduction to Generalized Linear Models. (1990) Chapman & Hall .

[Dob01] Dobson, A.J., An Introduction to Generalized Linear Models. 2nd ed. (2001) Chapman & Hall .

[Dom94] Domingos, P., The RISE system: Conquering without separating, In: Proc. 1994 IEEE Int. Conf. Tools with Artificial Intelligence (TAI’94) New Orleans, LA. (1994), pp. 704–707.

[Dom99] Domingos, P., The role of Occam's razor in knowledge discovery, Data Mining and Knowledge Discovery 3 (1999) 409–425.

[DP96] Domingos, P.; Pazzani, M., Beyond independence: Conditions for the optimality of the simple Bayesian classifier, In: Proc. 1996 Int. Conf. Machine Learning (ML’96) Bari, Italy. (July 1996), pp. 105–112.

[DP97] Devore, J.; Peck, R., Statistics: The Exploration and Analysis of Data. (1997) Duxbury Press .

[DP07] Dong, G.; Pei, J., Sequence Data Mining. (2007) Springer, New York .

[DR99] Donjerkovic, D.; Ramakrishnan, R., Probabilistic optimization of top N queries, In: Proc. 1999 Int. Conf. Very Large Data Bases (VLDB’99) Edinburgh, UK. (Sept. 1999), pp. 411–422.

[DR05] Davidson, I.; Ravi, S.S., Clustering with constraints: Feasibility issues and the k-means algorithm, In: Proc. 2005 SIAM Int. Conf. Data Mining (SDM’05) Newport Beach, CA. (Apr. 2005).

[DT93] Dhar, V.; Tuzhilin, A., Abstract-driven pattern discovery in databases, IEEE Trans. Knowledge and Data Engineering 5 (1993) 926–938.

[Dun03] Dunham, M., Data Mining: Introductory and Advanced Topics. (2003) Prentice-Hall .

[DWB06] Davidson, I.; Wagstaff, K.L.; Basu, S., Measuring constraint-set utility for partitional clustering algorithms, In: Proc. 10th European Conf. Principles and Practice of Knowledge Discovery in Databases (PKDD’06) Berlin, Germany. (Sept. 2006), pp. 115–126.

[Dwo06] Dwork, C., Differential privacy, In: Proc. 2006 Int. Col. Automata, Languages and Programming (ICALP) Venice, Italy. (July 2006), pp. 1–12.

[DYXY07] Dai, W.; Yang, Q.; Xue, G.; Yu, Y., Boosting for transfer learning, In: Proc. 24th Intl. Conf. Machine Learning Corvallis, OR. (June 2007), pp. 193–200.

[Ega75] Egan, J.P., Signal Detection Theory and ROC Analysis. (1975) Academic Press .

[EK10] Easley, D.; Kleinberg, J., Networks, Crowds, and Markets: Reasoning about a Highly Connected World. (2010) Cambridge University Press .

[Esk00] Eskin, E., Anomaly detection over noisy data using learned probability distributions, In: Proc. 17th Int. Conf.

Return Main Page Previous Page Next Page

®Online Book Reader