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Subgraph isomorphism is a fundamental graph problem with many applications. Due to its NP-Hard nature, subgraph isomorphism in large dynamic graphs is considered as a challenging problem. In this paper, we present a distributed graph pruning algorithm (D-IDS) for dynamic graphs to enable efficient subgraph isomorphism. D-IDS continuously maintains the maximum dual simulation match in a dynamic graph...
As Smart Grids move closer to dynamic curtailment programs, Demand Response (DR) events will become necessary not only on fixed time intervals and weekdays predetermined by static policies, but also during changing decision periods and weekends to react to real-time demand signals. Unique challenges arise in this context vis-a-vis demand prediction and curtailment estimation and the transformation...
The performance of prediction models is often based on “abstract metrics” that estimate the model’s ability to limit residual errors between the observed and predicted values. However, meaningful evaluation and selection of prediction models for end-user domains requires holistic and application-sensitive performance measures. Inspired by energy consumption prediction models used in the emerging “big...
This paper presents Rankbox, an adaptive ranking system for mining complex relationships on the Semantic Web. Our objective is to provide an effective ranking method for complex relationship mining, which can 1) automatically personalize ranking results according to user preferences, 2) be continuously improved to more precisely capture user preferences, and 3) hide as many technical details from...
There has been a recent push towards applying information technology principles, such as workflows, to bring greater efficiency to reservoir management tasks. These workflows are data intensive in nature, and the data is derived from heterogenous data sources. This has placed an emphasis on the quality and reliability of data that is used in reservoir engineering applications. Data provenance is metadata...
The management of reservoir simulation models has been an important need of engineers in petroleum industry. However, due to data sharing among reservoir simulation models, data replication is common and poses many challenges to model management, including management efficiency and data consistency. In this paper, we propose a data component based methodology to manage reservoir simulation models...
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