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» Very Large Databases: How Large, How Different
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CPHYSICS
2010
85views more  CPHYSICS 2010»
13 years 3 months ago
How to predict very large and complex crystal structures
Andriy O. Lyakhov, Artem R. Oganov, Mario Valle
SIGMOD
2004
ACM
92views Database» more  SIGMOD 2004»
14 years 5 months ago
Online Maintenance of Very Large Random Samples
Random sampling is one of the most fundamental data management tools available. However, most current research involving sampling considers the problem of how to use a sample, and...
Chris Jermaine, Abhijit Pol, Subramanian Arumugam
COLING
2010
13 years 19 days ago
Enhancing Cross Document Coreference of Web Documents with Context Similarity and Very Large Scale Text Categorization
Cross Document Coreference (CDC) is the task of constructing the coreference chain for mentions of a person across a set of documents. This work offers a holistic view of using do...
Jian Huang 0002, Pucktada Treeratpituk, Sarah M. T...
IDEAS
2006
IEEE
98views Database» more  IDEAS 2006»
13 years 11 months ago
PAID: Mining Sequential Patterns by Passed Item Deduction in Large Databases
Sequential pattern mining is very important because it is the basis of many applications. Yet how to efficiently implement the mining is difficult due to the inherent characteri...
Zhenglu Yang, Masaru Kitsuregawa, Yitong Wang
DBVIS
1993
101views Database» more  DBVIS 1993»
13 years 9 months ago
Using Visualization to Support Data Mining of Large Existing Databases
In this paper, we present ideas how visualization technology can be used to improve the difficult process of querying very large databases. With our VisDB system, we try to provid...
Daniel A. Keim, Hans-Peter Kriegel