Sciweavers

306 search results - page 9 / 62
» Spark: top-k keyword query in relational databases
Sort
View
SIGMOD
2008
ACM
139views Database» more  SIGMOD 2008»
14 years 6 months ago
SQAK: doing more with keywords
Today's enterprise databases are large and complex, often relating hundreds of entities. Enabling ordinary users to query such databases and derive value from them has been o...
Sandeep Tata, Guy M. Lohman
DEBU
2010
147views more  DEBU 2010»
13 years 6 months ago
Evaluating the Effectiveness of Keyword Search
The prevalence of free text search in web search engines has inspired recent interest in keyword search on relational databases. Whereas relational queries formally specify matchi...
William Webber
VLDB
2004
ACM
120views Database» more  VLDB 2004»
14 years 1 days ago
Merging the Results of Approximate Match Operations
Data Cleaning is an important process that has been at the center of research interest in recent years. An important end goal of effective data cleaning is to identify the relatio...
Sudipto Guha, Nick Koudas, Amit Marathe, Divesh Sr...
SIGMOD
2012
ACM
345views Database» more  SIGMOD 2012»
11 years 9 months ago
Shark: fast data analysis using coarse-grained distributed memory
Shark is a research data analysis system built on a novel rained distributed shared-memory abstraction. Shark marries query processing with deep data analysis, providing a unifie...
Cliff Engle, Antonio Lupher, Reynold Xin, Matei Za...
ICDE
2007
IEEE
137views Database» more  ICDE 2007»
14 years 8 months ago
SAO: A Stream Index for Answering Linear Optimization Queries
Linear optimization queries retrieve the top-K tuples in a sliding window of a data stream that maximize/minimize the linearly weighted sums of certain attribute values. To effici...
Gang Luo, Kun-Lung Wu, Philip S. Yu