AUSDM 2007 - PDF Preprint Papers

AUSDM 2007 Data Mining - Theory

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AUSDM
2007
Springer

222views Data Mining» more AUSDM 2007»

CURIO: A Fast Outlier and Outlier Cluster Detection Algorithm for Large Datasets

14 years 7 months ago

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Aaron Ceglar, John F. Roddick, David M. W. Powers

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Id	Views	Title	Status

1	222	CURIO: A Fast Outlier and Outlier Cluster Detection Algorithm for Large Datasets	claim
2	193	Are Zero-suppressed Binary Decision Diagrams Good for Mining Frequent Patterns in High Dimensional Datasets?	claim
3	185	An Approach to Argumentation Context Mining from Dialogue History in an E-Market Scenario	claim
4	173	The Use of Various Data Mining and Feature Selection Methods in the Analysis of a Population Survey Dataset	claim
5	165	A New Efficient Privacy-Preserving Scalar Product Protocol	claim
6	164	SemGrAM - Integrating Semantic Graphs into Association Rule Mining	claim
7	161	A Case Study of Failure Mode Analysis with Text Mining Methods	claim
8	145	Discovering Frequent Sets from Data Streams with CPU Constraint	claim
9	145	Temporal Pattern Matching for the Prediction of Stock Prices	claim
10	144	An Empirical Study of Similarity Search in Stock Data	claim
11	140	The application of data mining techniques to characterize agricultural soil profiles	claim
12	131	A Bottom-Up Projection Based Algorithm for Mining High Utility Itemsets	claim
13	124	Analytics for Audit and Business Controls in Corporate Travel and Entertainment	claim
14	121	Using Corpus Analysis to Inform Research into Opinion Detection in Blogs	claim
15	118	Mining Web Snippets to Answer List Questions	claim
16	113	PCITMiner- Prefix-based Closed Induced Tree Miner for finding closed induced frequent subtrees	claim
17	112	Measuring Data-Driven Ontology Changes using Text Mining	claim
18	110	Adaptive Spike Detection for Resilient Data Stream Mining	claim
19	110	Useful Clustering Outcomes from Meaningful Time Series Clustering	claim
20	108	Mining for offender group detection and story of a police operation	claim
21	107	Preference Networks: Probabilistic Models for Recommendation Systems	claim
22	107	News Aware Volatility Forecasting: Is the Content of News Important?	claim
23	107	A Discriminant Analysis for Undersampled Data	claim
24	106	Establishing a Lineage for Medical Knowledge Discovery	claim
25	104	Effectiveness of Using Quantified Intermarket Influence for Predicting Trading Signals of Stock Markets	claim
26	102	Determining Termhood for Learning Domain Ontologies in a Probabilistic Framework	claim
27	102	A Two-Step Classification Approach to Unsupervised Record Linkage	claim
28	101	Exploratory Multilevel Hot Spot Analysis: Australian Taxation Office Case Study	claim
29	100	Determining Termhood for Learning Domain Ontologies using Domain Prevalence and Tendency	claim
30	100	Predictive Model of Insolvency Risk for Australian Corporations	claim
31	100	An E-Market Framework to Determine the Strength of Business Relationships between Intelligent Agents	claim
32	94	Classification for accuracy and insight: A weighted sum approach	claim
33	93	Customer Analytics Projects: Addressing Existing Problems with a Process that Leads to Success	claim
34	84	Detecting Anomalous Longitudinal Associations Through Higher Order Mining	claim
35	76	Evaluation of a Graduate Level Data Mining Course with Industry Participants	claim
36	64	Reflection on Development and Delivery of a Data Mining Unit	claim

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