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» Knowledge Discovery from Multiple Databases
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KDD
2009
ACM
167views Data Mining» more  KDD 2009»
15 years 6 months ago
Anomalous window discovery through scan statistics for linear intersecting paths (SSLIP)
Anomalous windows are the contiguous groupings of data points. In this paper, we propose an approach for discovering anomalous windows using Scan Statistics for Linear Intersectin...
Lei Shi, Vandana Pursnani Janeja
NEUROSCIENCE
2001
Springer
15 years 4 months ago
Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...
Doina Caragea, Adrian Silvescu, Vasant Honavar
APPINF
2003
15 years 1 months ago
Fast Frequent Itemset Mining using Compressed Data Representation
Discovering association rules by identifying relationships among sets of items in a transaction database is an important problem in Data Mining. Finding frequent itemsets is compu...
Raj P. Gopalan, Yudho Giri Sucahyo
NAR
1998
86views more  NAR 1998»
14 years 11 months ago
Pfam: multiple sequence alignments and HMM-profiles of protein domains
Pfam contains multiple alignments and hidden Markov model based profiles (HMM-profiles) of complete protein domains. The definition of domain boundaries, family members and alignm...
Erik L. L. Sonnhammer, Sean R. Eddy, Ewan Birney, ...
BTW
1999
Springer
145views Database» more  BTW 1999»
15 years 4 months ago
A Multi-Tier Architecture for High-Performance Data Mining
Data mining has been recognised as an essential element of decision support, which has increasingly become a focus of the database industry. Like all computationally expensive data...
Ralf Rantzau, Holger Schwarz