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IDA
2011
Springer
14 years 11 months ago
A parallel, distributed algorithm for relational frequent pattern discovery from very large data sets
The amount of data produced by ubiquitous computing applications is quickly growing, due to the pervasive presence of small devices endowed with sensing, computing and communicatio...
Annalisa Appice, Michelangelo Ceci, Antonio Turi, ...
SAC
2006
ACM
15 years 10 months ago
Two-phase clustering strategy for gene expression data sets
In the context of genome research, the method of gene expression analysis has been used for several years. Related microarray experiments are conducted all over the world, and con...
Dirk Habich, Thomas Wächter, Wolfgang Lehner,...
CSCW
1998
ACM
15 years 8 months ago
Cooperative Knowledge Work and Practices of Trust: Sharing Environmental Planning Data Sets
Knowledge communities of all kinds have social and material practices for deciding what is known and who is to be trusted. In this paper, we address a specific kind of knowledge w...
Nancy A. Van House, Mark H. Butler, Lisa R. Schiff
LREC
2010
141views Education» more  LREC 2010»
15 years 5 months ago
Building Textual Entailment Specialized Data Sets: a Methodology for Isolating Linguistic Phenomena Relevant to Inference
This paper proposes a methodology for the creation of specialized data sets for Textual Entailment, made of monothematic Text-Hypothesis pairs (i.e. pairs in which only one lingui...
Luisa Bentivogli, Elena Cabrio, Ido Dagan, Danilo ...
AUSDM
2007
Springer
145views Data Mining» more  AUSDM 2007»
15 years 10 months ago
Discovering Frequent Sets from Data Streams with CPU Constraint
Data streams are usually generated in an online fashion characterized by huge volume, rapid unpredictable rates, and fast changing data characteristics. It has been hence recogniz...
Xuan Hong Dang, Wee Keong Ng, Kok-Leong Ong, Vince...