KDD 1998 - PDF Preprint Papers

KDD 1998 International Conference on Knowledge Discovery and Data Mining

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KDD
1998
ACM

442views Data Mining» more KDD 1998»

BAYDA: Software for Bayesian Classification and Feature Selection

13 years 8 months ago

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BAYDA is a software package for flexible data analysis in predictive data mining tasks. The mathematical model underlying the program is based on a simple Bayesian network, the Na...

Petri Kontkanen, Petri Myllymäki, Tomi Siland...

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Id	Views	Title	Status

1	442	BAYDA: Software for Bayesian Classification and Feature Selection	claim
2	250	Data Mining for Direct Marketing: Problems and Solutions	claim
3	228	Direct Marketing Response Models Using Genetic Algorithms	claim
4	212	Learning to Predict Rare Events in Event Sequences	claim
5	200	Fast Computation of 2-Dimensional Depth Contours	claim
6	193	Methods for Linking and Mining Massive Heterogeneous Databases	claim
7	190	Mining Segment-Wise Periodic Patterns in Time-Related Databases	claim
8	190	Time Series Forecasting from High-Dimensional Data with Multiple Adaptive Layers	claim
9	185	Toward Scalable Learning with Non-Uniform Class and Cost Distributions: A Case Study in Credit Card Fraud Detection	claim
10	183	Mining Generalized Association Rules and Sequential Patterns Using SQL Queries	claim
11	181	Approaches to Online Learning and Concept Drift for User Identification in Computer Security	claim
12	170	Mining Audit Data to Build Intrusion Detection Models	claim
13	166	Comparing Massive High-Dimensional Data Sets	claim
14	165	Daily Prediction of Major Stock Indices from Textual WWW Data	claim
15	164	A Data Mining Support Environment and its Application on Insurance Data	claim
16	160	Algorithms for Characterization and Trend Detection in Spatial Databases	claim
17	159	A Robust System Architecture for Mining Semi-Structured Data	claim
18	148	Group Bitmap Index: A Structure for Association Rules Retrieval	claim
19	147	ADtrees for Fast Counting and for Fast Learning of Association Rules	claim
20	146	Mining Association Rules in Hypertext Databases	claim
21	145	Aggregation of Imprecise and Uncertain Information for Knowledge Discovery in Databases	claim
22	145	Coincidence Detection: A Fast Method for Discovering Higher-Order Correlations in Multidimensional Data	claim
23	141	Rule Discovery from Time Series	claim
24	140	Blurring the Distinction between Command and Data in Scientific KDD	claim
25	140	Active Templates: Comprehensive Support for the Knowledge Discovery Process	claim
26	136	Integrating Classification and Association Rule Mining	claim
27	131	Interestingness-Based Interval Merger for Numeric Association Rules	claim
28	129	Defining diff as a Data Mining Primitive	claim
29	129	Data Reduction Based on Hyper Relations	claim
30	123	Scaling Clustering Algorithms to Large Databases	claim
31	122	Memory Placement Techniques for Parallel Association Mining	claim
32	120	Large Datasets Lead to Overly Complex Models: An Explanation and a Solution	claim
33	120	Ranking - Methods for Flexible Evaluation and Efficient Comparison of Classification Performance	claim
34	118	A Belief-Driven Method for Discovering Unexpected Patterns	claim
35	114	Occam's Two Razors: The Sharp and the Blunt	claim
36	114	Coactive Learning for Distributed Data Mining	claim
37	113	Targeting Business Users with Decision Table Classifiers	claim
38	112	Evaluating Usefulness for Dynamic Classification	claim
39	107	Giga-Mining	claim
40	106	Interactive Interpretation of Kohonen Maps Applied to Curves	claim
41	106	Analysing Rock Samples for the Mars Lander	claim
42	106	Simultaneous Reliability Evaluation of Generality and Accuracy for Rule Discovery in Databases	claim
43	105	Pattern Directed Mining of Sequence Data	claim
44	105	PlanMine: Sequence Mining for Plan Failures	claim
45	103	CLOUDS: A Decision Tree Classifier for Large Datasets	claim
46	103	Reinforcement Learning for Trading Systems and Portfolios	claim
47	102	Joins that Generalize: Text Classification Using WHIRL	claim
48	102	Defining the Goals to Optimise Data Mining Performance	claim
49	102	Mining Databases with Different Schemas: Integrating Incompatible Classifiers	claim
50	102	Discovering Technical Traders in the T-bond Futures Market	claim
51	101	Probabilistic Modeling for Information Retrieval with Unsupervised Training Data	claim
52	99	On the Efficient Gathering of Sufficient Statistics for Classification from Large SQL Databases	claim
53	99	Learning to Predict the Duration of an Automobile Trip	claim
54	98	FlexiMine - A Flexible Platform for KDD Research and Application Construction	claim
55	97	Mining in the Presence of Selectivity Bias and its Application to Reject Inference	claim
56	95	Finding Frequent Substructures in Chemical Compounds	claim
57	95	Initialization of Iterative Refinement Clustering Algorithms	claim
58	94	Independence Diagrams: A Technique for Visual Data Mining	claim
59	90	Discovering Predictive Association Rules	claim
60	84	Similarity of Attributes by External Probes	claim
61	84	Towards the Personalization of Algorithms Evaluation in Data Mining	claim
62	80	Human Performance on Clustering Web Pages: A Preliminary Study	claim
63	75	Knowledge Discovery and the Interface of Computing and Statistics	claim

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