Sciweavers

101 search results - page 16 / 21
» Discovery of Influence Sets in Frequently Updated Databases
Sort
View
SIGMOD
2005
ACM
123views Database» more  SIGMOD 2005»
14 years 29 days ago
To Do or Not To Do: The Dilemma of Disclosing Anonymized Data
Decision makers of companies often face the dilemma of whether to release data for knowledge discovery, vis a vis the risk of disclosing proprietary or sensitive information. Whil...
Laks V. S. Lakshmanan, Raymond T. Ng, Ganesh Rames...
IEAAIE
2009
Springer
14 years 1 months ago
Incremental Mining of Ontological Association Rules in Evolving Environments
The process of knowledge discovery from databases is a knowledge intensive, highly user-oriented practice, thus has recently heralded the development of ontology-incorporated data ...
Ming-Cheng Tseng, Wen-Yang Lin
SOFTWARE
2002
13 years 7 months ago
Temporal Probabilistic Concepts from Heterogeneous Data Sequences
We consider the problem of characterisation of sequences of heterogeneous symbolic data that arise from a common underlying temporal pattern. The data, which are subject to impreci...
Sally I. McClean, Bryan W. Scotney, Fiona Palmer
GIS
2008
ACM
14 years 8 months ago
Should SDBMS support a join index?: a case study from CrimeStat
Given a spatial crime data warehouse, that is updated infrequently and a set of operations O as well as constraints of storage and update overheads, the index type selection probl...
Pradeep Mohan, Ronald E. Wilson, Shashi Shekhar, B...
BMCBI
2005
156views more  BMCBI 2005»
13 years 7 months ago
DynGO: a tool for visualizing and mining of Gene Ontology and its associations
Background: A large volume of data and information about genes and gene products has been stored in various molecular biology databases. A major challenge for knowledge discovery ...
Hongfang Liu, Zhang-Zhi Hu, Cathy H. Wu