DIS 2006 - PDF Preprint Papers

DIS 2006 IEEE Workshop on Distributed Intelligent Systems: Collective Intelligence and Its Applications

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DIS
2006
Springer

244views Theoretical Computer Science» more DIS 2006»

Change Detection with Kalman Filter and CUSUM

13 years 6 months ago

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Knowledge discovery systems are constrained by three main limited resources: time, memory and sample size. Sample size is traditionally the dominant limitation, but in many present...

Milton Severo, João Gama

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Id	Views	Title	Status

1	244	Change Detection with Kalman Filter and CUSUM	claim
2	240	Clustering Pairwise Distances with Missing Data: Maximum Cuts Versus Normalized Cuts	claim
3	137	On Class Visualisation for High Dimensional Data: Exploring Scientific Data Sets	claim
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6	131	Model-Based Estimation of Word Saliency in Text	claim
7	126	Prediction of Domain-Domain Interactions Using Inductive Logic Programming from Multiple Genome Databases	claim
8	123	Experiences from a Socio-economic Application of Induction Trees	claim
9	122	Incremental Algorithm Driven by Error Margins	claim
10	119	Kalman Filters and Adaptive Windows for Learning in Data Streams	claim
11	110	Visual Interactive Subgroup Discovery with Numerical Properties of Interest	claim
12	110	Mining Sectorial Episodes from Event Sequences	claim
13	107	A Pragmatic Logic of Scientific Discovery	claim
14	106	Itemset Support Queries Using Frequent Itemsets and Their Condensed Representations	claim
15	105	Interesting Patterns Extraction Using Prior Knowledge	claim
16	101	Visual Knowledge Discovery in Paleoclimatology with Parallel Coordinates	claim
17	99	A Novel Framework for Discovering Robust Cluster Results	claim
18	87	Scientific Discovery: A View from the Trenches	claim
19	82	A New Family of String Classifiers Based on Local Relatedness	claim
20	78	Symmetric Item Set Mining Based on Zero-Suppressed BDDs	claim

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