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» Association Rule Mining Algorithms for Set-Valued Data
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SAC
2008
ACM
13 years 7 months ago
Adding background knowledge to formal concept analysis via attribute dependency formulas
We present a way to add user's background knowledge to formal concept analysis. The type of background knowledge we deal with relates to relative importance of attributes in ...
Radim Belohlávek, Vilém Vychodil
KDD
2000
ACM
140views Data Mining» more  KDD 2000»
13 years 11 months ago
Effective Retrieval of Audio Information from Annotated Text Using Ontologies
To improve the accuracy in terms of precision and recall of an audio information retrieval system we have created a domainspecific ontology (a collection of key concepts and their...
Latifur Khan, Dennis McLeod
ICDM
2009
IEEE
112views Data Mining» more  ICDM 2009»
14 years 2 months ago
Spatio-temporal Multi-dimensional Relational Framework Trees
—The real world is composed of sets of objects that move and morph in both space and time. Useful concepts can be defined in terms of the complex interactions between the multi-...
Matthew Bodenhamer, Samuel Bleckley, Daniel Fennel...
SIGIR
2004
ACM
14 years 29 days ago
Web-a-where: geotagging web content
We describe Web-a-Where, a system for associating geography with Web pages. Web-a-Where locates mentions of places and determines the place each name refers to. In addition, it as...
Einat Amitay, Nadav Har'El, Ron Sivan, Aya Soffer
KDD
2003
ACM
191views Data Mining» more  KDD 2003»
14 years 8 months ago
Assessment and pruning of hierarchical model based clustering
The goal of clustering is to identify distinct groups in a dataset. The basic idea of model-based clustering is to approximate the data density by a mixture model, typically a mix...
Jeremy Tantrum, Alejandro Murua, Werner Stuetzle