KDD 1995 - PDF Preprint Papers

KDD 1995 International Conference on Knowledge Discovery and Data Mining

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KDD
1995
ACM

248views Data Mining» more KDD 1995»

Data Mining for Loan Evaluation at ABN AMRO: A Case Study

13 years 8 months ago

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Wedescribe a case study in data miningfor personal loan evaluation, performed at the ABNAMRObank in the Netherlands. Historical data of clients and their pay-backbehaviourare used...

A. J. Feelders, A. J. F. le Loux, J. W. van't Zand

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Id	Views	Title	Status

1	248	Data Mining for Loan Evaluation at ABN AMRO: A Case Study	claim
2	227	Applying a Data Miner To Heterogeneous Schema Integration	claim
3	216	Robust Decision Trees: Removing Outliers from Databases	claim
4	193	Analyzing the Benefits of Domain Knowledge in Substructure Discovery	claim
5	182	Accelerated Quantification of Bayesian Networks with Incomplete Data	claim
6	176	MDL-Based Decision Tree Pruning	claim
7	173	Knowledge Discovery in Textual Databases (KDT)	claim
8	167	Efficient Algorithms for Attribute-Oriented Induction	claim
9	166	Anonymization Techniques for Knowledge Discovery in Databases	claim
10	159	Restructuring Databases for Knowledge Discovery by Consolidation and Link Formation	claim
11	155	Discovering Enrollment Knowledge in University Databases	claim
12	154	Data Surveying: Foundations of an Inductive Query Language	claim
13	148	Learning Arbiter and Combiner Trees from Partitioned Data for Scaling Machine Learning	claim
14	140	Discovery and Maintenance of Functional Dependencies by Independencies	claim
15	140	Decision Tree Induction: How Effective is the Greedy Heuristic?	claim
16	139	Extracting Support Data for a Given Task	claim
17	139	Resource and Knowledge Discovery in Global Information Systems: A Preliminary Design and Experiment	claim
18	135	Rough Sets Similarity-Based Learning from Databases	claim
19	133	Feature Subset Selection Using the Wrapper Method: Overfitting and Dynamic Search Space Topology	claim
20	130	Compression-Based Evaluation of Partial Determinations	claim
21	129	Feature Extraction for Massive Data Mining	claim
22	128	Discovery of Concurrent Data Models from Experimental Tables: A Rough Set Approach	claim
23	127	Toward a Multi-Strategy and Cooperative Discovery System	claim
24	114	Designing Neural Networks from Statistical Models: A New Approach to Data Exploration	claim
25	112	Learning First Order Logic Rules with a Genetic Algorithm	claim
26	109	An Iterative Improvement Approach for the Discretization of Numeric Attributes in Bayesian Classifiers	claim
27	108	A Statistical Perspective On Knowledge Discovery In Databases	claim
28	107	Fuzzy Interpretation of Induction Results	claim
29	106	Structured and Unstructured Induction with EDAGs	claim
30	104	Using Rough Sets as Tools for Knowledge Discovery	claim
31	104	Fast Spatio-Temporal Data Mining of Large Geophysical Datasets	claim
32	102	Exploiting Upper Approximation in the Rough Set Methodology	claim
33	99	Active Data Mining	claim
34	99	Knowledge Discovery in a Water Quality Database	claim
35	98	Optimization and Simplification of Hierarchical Clusterings	claim
36	97	Exploiting Visualization in Knowledge Discovery	claim
37	95	STAR: A General Architecture for the Support of Distortion Oriented Displays	claim
38	95	Limits on Learning Machine Accuracy Imposed by Data Quality	claim
39	95	Knowledge-Based Scientific Discovery in Geological Databases	claim
40	95	On Subjective Measures of Interestingness in Knowledge Discovery	claim
41	92	A Database Interface for Clustering in Large Spatial Databases	claim
42	91	Using Recon for Data Cleaning	claim
43	87	Conceptual Clustering in Structured Databases: A Practical Approach	claim
44	86	Knowledge Discovery from Multiple Databases	claim
45	85	Estimating the Robustness of Discovered Knowledge	claim
46	81	Knowledge Discovery in Telecommunication Services Data Using Bayesian Network Models	claim
47	80	Intelligent Instruments: Discovering How to Turn Spectral Data into Information	claim
48	67	A Perspective on Databases and Data Mining	claim

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