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EDBT
2016
ACM
106views Database» more  EDBT 2016»
2 years 8 months ago
Data Wrangling for Big Data: Challenges and Opportunities
Data wrangling is the process by which the data required by an application is identified, extracted, cleaned and integrated, to yield a data set that is suitable for exploration ...
Tim Furche, Georg Gottlob, Leonid Libkin, Giorgio ...
EDBT
2016
ACM
100views Database» more  EDBT 2016»
2 years 8 months ago
DeMand: A Tool for Evaluating and Comparing Device-Level Demand and Supply Forecast Models
Fine-grained device-level predictions of both shiftable and nonshiftable energy demand and supply is vital in order to take advantage of Demand Response (DR) for efficient utiliz...
Bijay Neupane, Laurynas Siksnys, Torben Bach Peder...
EDBT
2016
ACM
90views Database» more  EDBT 2016»
2 years 8 months ago
Answering Keyword Queries involving Aggregates and GROUPBY on Relational Databases
Keyword search over relational databases has gained popularity as it provides a user-friendly way to explore structured data. Current research in keyword search has largely ignore...
VLDB
2016
ACM
88views Database» more  VLDB 2016»
2 years 8 months ago
Effective deep learning-based multi-modal retrieval
Wei Wang, Xiaoyan Yang, Beng Chin Ooi, Dongxiang Z...
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