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Statistical Database
TLDR
A statistical database is a database used for statistical analysis purposes. Expand
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Big data and its technical challenges
TLDR
Exploring the inherent technical challenges in realizing the potential of Big Data. Expand
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Challenges and Opportunities with Big Data
TLDR
The promise of data-driven decision-making is now being recognized broadly, and there is growing enthusiasm for the notion of "Big Data," including the recent announcement from the White House about new funding initiatives across different agencies, that target research for Big Data. Expand
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TiNA: a scheme for temporal coherency-aware in-network aggregation
TLDR
This paper presents TiNA, a scheme for minimizing energy consumption in sensor networks by exploiting end-user tolerance to temporal coherency. Expand
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Balancing energy efficiency and quality of aggregate data in sensor networks
TLDR
We propose a framework to use temporal coherency tolerances in conjunction with in-network aggregation to save energy at the sensor nodes while maintaining specified quality of data. Expand
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Preference-Aware Query and Update Scheduling in Web-databases
TLDR
We present the concept of quality contracts (QCs) which combines the two incomparable performance metrics: response time or quality of service (QoS), and quality of data (QoD). Expand
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Update Propagation Strategies for Improving the Quality of Data on the Web
TLDR
We present a QoD-aware Update Scheduling algorithm that is adaptive and tolerant to surges in the incoming update stream in the presence of continuous updates. Expand
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Global transcriptional response to spermine, a component of the intramacrophage environment, reveals regulation of Francisella gene expression through insertion sequence elements.
Tularemia is caused by the category A biodefense agent Francisella tularensis. This bacterium is associated with diverse environments and a plethora of arthropod and mammalian hosts. How F.Expand
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WebView materialization
TLDR
We compare the three materialization policies (materialized inside the DBMS, materialized at the web server and virtual) analytically, through a detailed cost model, and quantitatively, through extensive experiments on an implemented system. Expand
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A holistic view of stream partitioning costs
TLDR
We identify and demonstrate the need to incorporate aggregation costs in the partitioning model when executing stateful operations in parallel, in order to minimize the overall latency and/or through-put. Expand
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