Data Mining and Knowledge Discovery
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Krzysztof J. Cios | Roman W. Swiniarski | Witold Pedrycz | K. Cios | Jiawei Han | Chao Zhang | W. Pedrycz | Chao Zhang | R. Swiniarski
[1] J. Ross Quinlan,et al. Unknown Attribute Values in Induction , 1989, ML.
[2] Gregory Piatetsky-Shapiro,et al. Knowledge discovery workbench for exploring business databases , 1992, Int. J. Intell. Syst..
[3] Steven L. Salzberg,et al. Learning with Nested Generalized Exemplars , 1990 .
[4] Michael Stonebraker,et al. Database systems: achievements and opportunities , 1990, SGMD.
[5] Andrew K. C. Wong,et al. Class-Dependent Discretization for Inductive Learning from Continuous and Mixed-Mode Data , 1995, IEEE Trans. Pattern Anal. Mach. Intell..
[6] Jerzy W. Grzymala-Busse,et al. Comparison of Machine Learning and Knowledge Acquisition Methods of Rule Induction Based on Rough Sets , 1993, RSKD.
[7] Ron Kohavi,et al. Useful Feature Subsets and Rough Set Reducts , 1994 .
[8] Usama M. Fayyad,et al. The Attribute Selection Problem in Decision Tree Generation , 1992, AAAI.
[9] Tomasz Imielinski,et al. Research Directions in Knowledge Discovery , 1991, SIGMOD Rec..
[10] Vijay V. Raghavan,et al. Exploiting Upper Approximation in the Rough Set Methodology , 1995, KDD.
[11] Harris Drucker,et al. Capacity and Complexity Control in Predicting the Spread Between Borrowing and Lending Interest Rates , 1995, KDD.
[12] Abraham Silberschatz,et al. Database System Concepts , 1980 .
[13] Larry A. Rendell,et al. The Feature Selection Problem: Traditional Methods and a New Algorithm , 1992, AAAI.
[14] Keinosuke Fukunaga,et al. A Branch and Bound Algorithm for Feature Subset Selection , 1977, IEEE Transactions on Computers.
[15] John R. Anderson,et al. MACHINE LEARNING An Artificial Intelligence Approach , 2009 .
[16] Ray R. Hashemi,et al. IQ Estimation of Monkeys Based on Human Data Using Rough Sets , 1994 .
[17] Tom M. Mitchell,et al. Generalization as Search , 2002 .
[18] Keinosuke Fukunaga,et al. Effects of Sample Size in Classifier Design , 1989, IEEE Trans. Pattern Anal. Mach. Intell..
[19] Jiawei Han,et al. Knowledge Discovery in Databases: An Attribute-Oriented Approach , 1992, VLDB.
[20] Alan J. Miller,et al. Subset Selection in Regression , 1991 .
[21] Josef Kittler,et al. Pattern recognition : a statistical approach , 1982 .
[22] W. Scott Spangler,et al. Learning Useful Rules from Inconclusive Data , 1991, Knowledge Discovery in Databases.
[23] Daryl Pregibon,et al. A statistical perspective on KDD , 1995, KDD 1995.
[24] Judea Pearl,et al. Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.
[25] T. Anand,et al. SPOTLIGHT: a data explanation system , 1992, Proceedings Eighth Conference on Artificial Intelligence for Applications.
[26] Gregory Piatetsky-Shapiro,et al. Knowledge Discovery in Databases: An Overview , 1992, AI Mag..
[27] Richard O. Duda,et al. Pattern classification and scene analysis , 1974, A Wiley-Interscience publication.
[28] William Frawley,et al. Knowledge Discovery in Databases , 1991 .
[29] Philip K. Chan,et al. Systems for Knowledge Discovery in Databases , 1993, IEEE Trans. Knowl. Data Eng..
[30] S. K. Wong,et al. Comparison of the probabilistic approximate classification and the fuzzy set model , 1987 .
[31] Roman Slowinski,et al. Rough Classification of Patients After Highly Selective Vagotomy for Duodenal Ulcer , 1986, Int. J. Man Mach. Stud..
[32] Chieng-Yi Chang. Dynamic Programming as Applied to Feature Subset Selection in a Pattern Recognition System , 1973, IEEE Trans. Syst. Man Cybern..
[33] Hector Garcia-Molina,et al. The Management of Probabilistic Data , 1992, IEEE Trans. Knowl. Data Eng..
[34] Manabu Ichino,et al. Generalized Minkowski metrics for mixed feature-type data analysis , 1994, IEEE Trans. Syst. Man Cybern..
[35] W. H. Inmon,et al. Building the data warehouse , 1992 .
[36] Maciej Modrzejewski,et al. Feature Selection Using Rough Sets Theory , 1993, ECML.
[37] Jerzy W. Grzymala-Busse,et al. On the Unknown Attribute Values in Learning from Examples , 1991, ISMIS.
[38] Ning Zhong,et al. Discovering Concept Clusters by Decomposing Databases , 1994, Data Knowl. Eng..
[39] Richard D. Hackathorn,et al. Using the Data Warehouse , 1994 .
[40] Willi Klösgen,et al. A Support System for Interpreting Statistical Data , 1991, Knowledge Discovery in Databases.
[41] Tomasz Imielinski,et al. Database Mining: A Performance Perspective , 1993, IEEE Trans. Knowl. Data Eng..
[42] Yiyu Yao,et al. A Decision Theoretic Framework for Approximating Concepts , 1992, Int. J. Man Mach. Stud..
[43] Tomasz Imielinski,et al. An Interval Classifier for Database Mining Applications , 1992, VLDB.
[44] R. Tibshirani,et al. An introduction to the bootstrap , 1993 .
[45] Paul W. Baim. A Method for Attribute Selection in Inductive Learning Systems , 1988, IEEE Trans. Pattern Anal. Mach. Intell..
[46] Suk Kyoon Lee,et al. An Extended Relational Database Model for Uncertain and Imprecise Information , 1992, VLDB.
[47] Thomas G. Dietterich,et al. Learning with Many Irrelevant Features , 1991, AAAI.
[48] Bo Thiesson,et al. Accelerated Quantification of Bayesian Networks with Incomplete Data , 1995, KDD.
[49] Ronald L. Rivest,et al. Inferring Decision Trees Using the Minimum Description Length Principle , 1989, Inf. Comput..
[50] Usama M. Fayyad,et al. Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning , 1993, IJCAI.
[51] Vijay V. Raghavan,et al. A System Architecture for Database Mining Applications , 1993, RSKD.
[52] Mike James,et al. Classification Algorithms , 1986, Encyclopedia of Machine Learning and Data Mining.
[53] Zdzislaw Pawlak,et al. Rough classification , 1984, Int. J. Hum. Comput. Stud..
[54] S. K. Michael Wong,et al. Comparison of Rough-Set and Statistical Methods in Inductive Learning , 1986, Int. J. Man Mach. Stud..