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» Queries with Incomplete Answers over Semistructured Data
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SIGMOD
2008
ACM
169views Database» more  SIGMOD 2008»
16 years 7 hour ago
MCDB: a monte carlo approach to managing uncertain data
To deal with data uncertainty, existing probabilistic database systems augment tuples with attribute-level or tuple-level probability values, which are loaded into the database al...
Ravi Jampani, Fei Xu, Mingxi Wu, Luis Leopoldo Per...
PVLDB
2010
112views more  PVLDB 2010»
14 years 10 months ago
Querying Probabilistic Information Extraction
Recently, there has been increasing interest in extending relational query processing to include data obtained from unstructured sources. A common approach is to use stand-alone I...
Daisy Zhe Wang, Michael J. Franklin, Minos N. Garo...
VLDB
2001
ACM
115views Database» more  VLDB 2001»
15 years 4 months ago
Dynamic Update Cube for Range-sum Queries
A range-sum query is very popular and becomes important in finding trends and in discovering relationships between attributes in diverse database applications. It sums over the se...
Seok-Ju Chun, Chin-Wan Chung, Ju-Hong Lee, Seok-Ly...
DMSN
2005
ACM
15 years 1 months ago
The threshold join algorithm for top-k queries in distributed sensor networks
In this paper we present the Threshold Join Algorithm (TJA), which is an efficient TOP-k query processing algorithm for distributed sensor networks. The objective of a top-k query...
Demetrios Zeinalipour-Yazti, Zografoula Vagena, Di...
DAWAK
2005
Springer
15 years 1 months ago
Incremental Data Mining Using Concurrent Online Refresh of Materialized Data Mining Views
Abstract. Data mining is an iterative process. Users issue series of similar data mining queries, in each consecutive run slightly modifying either the definition of the mined dat...
Mikolaj Morzy, Tadeusz Morzy, Marek Wojciechowski,...