KDD 1997 - PDF Preprint Papers

KDD 1997 International Conference on Knowledge Discovery and Data Mining

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KDD
1997
ACM

243views Data Mining» more KDD 1997»

Development of Multi-Criteria Metrics for Evaluation of Data Mining Algorithms

14 years 3 months ago

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Gholamreza Nakhaeizadeh, Alexander Schnabl

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Id	Views	Title	Status

1	243	Development of Multi-Criteria Metrics for Evaluation of Data Mining Algorithms	claim
2	221	MineSet: An Integrated System for Data Mining	claim
3	213	A Probabilistic Approach to Fast Pattern Matching in Time Series Databases	claim
4	208	Metarule-Guided Mining of Multi-Dimensional Association Rules Using Data Cubes	claim
5	184	JAM: Java Agents for Meta-Learning over Distributed Databases	claim
6	169	Learning to Extract Text-Based Information from the World Wide Web	claim
7	164	Partial Classification Using Association Rules	claim
8	161	Automated Discovery of Active Motifs in Three Dimensional Molecules	claim
9	159	New Algorithms for Fast Discovery of Association Rules	claim
10	154	Autonomous Discovery of Reliable Exception Rules	claim
11	146	Density-Connected Sets and their Application for Trend Detection in Spatial Databases	claim
12	143	Anytime Exploratory Data Analysis for Massive Data Sets	claim
13	142	Applying Data Mining and Machine Learning Techniques to Submarine Intelligence Analysis	claim
14	142	Knowledge Discovery in Integrated Call Centers: A Framework for Effective Customer-Driven Marketing	claim
15	135	Brute-Force Mining of High-Confidence Classification Rules	claim
16	131	Discovery of Actionable Patterns in Databases: The Action Hierarchy Approach	claim
17	130	Process-Based Database Support for the Early Indicator Method	claim
18	128	An Interactive Visualization Environment for Data Exploration	claim
19	127	Analysis and Visualization of Classifier Performance: Comparison under Imprecise Class and Cost Distributions	claim
20	122	Improving Scalability in a Scientific Discovery System by Exploiting Parallelism	claim
21	122	KDD Process Planning	claim
22	122	Computing Optimized Rectilinear Regions for Association Rules	claim
23	120	Discovering Trends in Text Databases	claim
24	117	Deep Knowledge Discovery from Natural Language Texts	claim
25	117	Bayesian Inference for Identifying Solar Active Regions	claim
26	116	Why Does Bagging Work? A Bayesian Account and its Implications	claim
27	115	Fast Robust Visual Data Mining	claim
28	114	Schema Discovery for Semistructured Data	claim
29	113	A Guided Tour through the Data Mining Jungle	claim
30	111	SIPping from the Data Firehose	claim
31	109	Using Artificial Intelligence Planning to Automate Science Data Analysis for Large Image Databases	claim
32	109	Beyond Concise and Colorful: Learning Intelligible Rules	claim
33	109	Selecting Features by Vertical Compactness of Data	claim
34	109	Optimal Multiple Intervals Discretization of Continuous Attributes for Supervised Learning	claim
35	109	A Dataset Decomposition Approach to Data Mining and Machine Discovery	claim
36	108	Integrating and Mining Distributed Customer Databases	claim
37	107	Mining for Causes of Cancer: Machine Learning Experiments at Various Levels of Detail	claim
38	107	KESO: Minimizing Database Interaction	claim
39	106	Clustering Sequences of Complex Objects	claim
40	105	A Visual Interactive Framework for Attribute Discretization	claim
41	104	Proposal and Empirical Comparison of a Parallelizable Distance-Based Discretization Method	claim
42	104	Scalable, Distributed Data Mining - An Agent Architecture	claim
43	104	An Efficient Algorithm for the Incremental Updation of Association Rules in Large Databases	claim
44	103	Fast Committee Machines for Regression and Classification	claim
45	103	Scaling Up Inductive Algorithms: An Overview	claim
46	101	Discriminative vs Informative Learning	claim
47	100	Mining Multivariate Time-Series Sensor Data to Discover Behavior Envelopes	claim
48	98	Target-Independent Mining for Scientific Data: Capturing Transients and Trends for Phenomena Mining	claim
49	97	Knowledge = Concepts: A Harmful Equation	claim
50	96	Using General Impressions to Analyze Discovered Classification Rules	claim
51	96	Mining Association Rules with Item Constraints	claim
52	92	Increasing the Efficiency of Data Mining Algorithms with Breadth-First Marker Propagation	claim
53	91	A Unified Notion of Outliers: Properties and Computation	claim
54	89	Zeta: A Global Method for Discretization of Continuous Variables	claim
55	89	GA-Based Rule Enhancement in Concept Learning	claim
56	86	Adjusting for Multiple Comparisons in Decision Tree Pruning	claim
57	84	Large Scale Data Mining: Challenges and Responses	claim
58	84	Visualizing Bagged Decision Trees	claim
59	78	Mining Generalized Term Associations: Count Propagation Algorithm	claim
60	72	Detecting Atmospheric Regimes Using Cross-Validated Clustering	claim

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