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PAKDD
2007
ACM
148views Data Mining» more  PAKDD 2007»
13 years 11 months ago
Mining Frequent Itemsets from Uncertain Data
Abstract. We study the problem of mining frequent itemsets from uncertain data under a probabilistic framework. We consider transactions whose items are associated with existential...
Chun Kit Chui, Ben Kao, Edward Hung
SSDBM
2008
IEEE
107views Database» more  SSDBM 2008»
13 years 11 months ago
ProUD: Probabilistic Ranking in Uncertain Databases
There are a lot of application domains, e.g. sensor databases, traffic management or recognition systems, where objects have to be compared based on vague and uncertain data. Feat...
Thomas Bernecker, Hans-Peter Kriegel, Matthias Ren...
SSDBM
2008
IEEE
113views Database» more  SSDBM 2008»
13 years 11 months ago
Query Selectivity Estimation for Uncertain Data
Applications requiring the handling of uncertain data have led to the development of database management systems extending the scope of relational databases to include uncertain (p...
Sarvjeet Singh, Chris Mayfield, Rahul Shah, Sunil ...
ICDE
2009
IEEE
90views Database» more  ICDE 2009»
13 years 11 months ago
Uncertain Location Based Range Aggregates in a Multi-dimensional Space
— Uncertain data are inherent in many applications such as environmental surveillance and quantitative economics research. Recently, considerable research efforts have been put i...
Ying Zhang, Xuemin Lin, Yufei Tao, Wenjie Zhang
ICDE
2009
IEEE
157views Database» more  ICDE 2009»
13 years 11 months ago
Clustering Uncertain Data with Possible Worlds
The topic of managing uncertain data has been explored in many ways. Different methodologies for data storage and query processing have been proposed. As the availability of manag...
Peter Benjamin Volk, Frank Rosenthal, Martin Hahma...
DASFAA
2009
IEEE
133views Database» more  DASFAA 2009»
13 years 11 months ago
Probabilistic Ranking in Uncertain Vector Spaces
Abstract. In many application domains, e.g. sensor databases, traffic management or recognition systems, objects have to be compared based on positionally and existentially uncert...
Thomas Bernecker, Hans-Peter Kriegel, Matthias Ren...
PODS
2008
ACM
159views Database» more  PODS 2008»
14 years 5 months ago
Approximation algorithms for clustering uncertain data
There is an increasing quantity of data with uncertainty arising from applications such as sensor network measurements, record linkage, and as output of mining algorithms. This un...
Graham Cormode, Andrew McGregor
SIGMOD
2008
ACM
115views Database» more  SIGMOD 2008»
14 years 5 months ago
Query answering techniques on uncertain and probabilistic data: tutorial summary
Uncertain data are inherent in some important applications, such as environmental surveillance, market analysis, and quantitative economics research. Due to the importance of thos...
Jian Pei, Ming Hua, Yufei Tao, Xuemin Lin
SIGMOD
2009
ACM
125views Database» more  SIGMOD 2009»
14 years 5 months ago
Top-k queries on uncertain data: on score distribution and typical answers
Uncertain data arises in a number of domains, including data integration and sensor networks. Top-k queries that rank results according to some user-defined score are an important...
Tingjian Ge, Stanley B. Zdonik, Samuel Madden

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zhanglbTeacher
Shandong University of Technology
zhanglb