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» Nested Ordered Sets and their Use for Data Modelling
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FLAIRS
2001
15 years 6 months ago
Validity of First-Order Knowledge Bases
A knowledge base is maintained by modifying its conceptual model and by using those modifications to specify changes to its implementation. The maintenance problem is to determine...
John K. Debenham
128
Voted
CIKM
2004
Springer
15 years 10 months ago
Framework and algorithms for trend analysis in massive temporal data sets
Mining massive temporal data streams for significant trends, emerging buzz, and unusually high or low activity is an important problem with several commercial applications. In th...
Sreenivas Gollapudi, D. Sivakumar
SIGMOD
1999
ACM
183views Database» more  SIGMOD 1999»
15 years 9 months ago
OPTICS: Ordering Points To Identify the Clustering Structure
Cluster analysis is a primary method for database mining. It is either used as a stand-alone tool to get insight into the distribution of a data set, e.g. to focus further analysi...
Mihael Ankerst, Markus M. Breunig, Hans-Peter Krie...
150
Voted
KDD
2000
ACM
149views Data Mining» more  KDD 2000»
15 years 8 months ago
Efficient clustering of high-dimensional data sets with application to reference matching
Many important problems involve clustering large datasets. Although naive implementations of clustering are computationally expensive, there are established efficient techniques f...
Andrew McCallum, Kamal Nigam, Lyle H. Ungar
147
Voted
BNCOD
2008
143views Database» more  BNCOD 2008»
15 years 6 months ago
Reconciling Inconsistent Data in Probabilistic XML Data Integration
Abstract. The problem of dealing with inconsistent data while integrating XML data from different sources is an important task, necessary to improve data integration quality. Typic...
Tadeusz Pankowski