Sciweavers

1768 search results - page 102 / 354
» Mining Very Large Databases
Sort
View
ANOR
2010
135views more  ANOR 2010»
15 years 2 months ago
A framework of irregularity enlightenment for data pre-processing in data mining
Abstract Irregularities are widespread in large databases and often lead to erroneous conclusions with respect to data mining and statistical analysis. For example, considerable bi...
Siu-Tong Au, Rong Duan, Siamak G. Hesar, Wei Jiang
119
Voted
DAWAK
2008
Springer
15 years 4 months ago
Is a Voting Approach Accurate for Opinion Mining?
In this paper, we focus on classifying documents according to opinion and value judgment they contain. The main originality of our approach is to combine linguistic pre-processing,...
Michel Plantié, Mathieu Roche, Gérar...
SIGMOD
2002
ACM
246views Database» more  SIGMOD 2002»
16 years 2 months ago
Hierarchical subspace sampling: a unified framework for high dimensional data reduction, selectivity estimation and nearest neig
With the increased abilities for automated data collection made possible by modern technology, the typical sizes of data collections have continued to grow in recent years. In suc...
Charu C. Aggarwal
ICDE
1998
IEEE
187views Database» more  ICDE 1998»
16 years 3 months ago
Mining Optimized Association Rules with Categorical and Numeric Attributes
?Mining association rules on large data sets has received considerable attention in recent years. Association rules are useful for determining correlations between attributes of a ...
Rajeev Rastogi, Kyuseok Shim
102
Voted
WWW
2010
ACM
15 years 9 months ago
Antourage: mining distance-constrained trips from flickr
We study how to automatically extract tourist trips from large volumes of geo-tagged photographs. Working with more than 8 million of these photographs that are publicly available...
Saral Jain, Stephan Seufert, Srikanta J. Bedathur