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pro vyhledávání: '"Tsotras, Vassilis"'
Autor:
Pakala, Shaan, Graw, Bryce, Ahn, Dawon, Dinh, Tam, Mahin, Mehnaz Tabassum, Tsotras, Vassilis, Chen, Jia, Papalexakis, Evangelos E.
Hyperparameter optimization is an essential component in many data science pipelines and typically entails exhaustive time and resource-consuming computations in order to explore the combinatorial search space. Similar to this problem, other key oper
Externí odkaz:
http://arxiv.org/abs/2410.06408
Honeybees are vital for pollination and food production. Among many factors, extreme temperature (e.g., due to climate change) is particularly dangerous for bee health. Anticipating such extremities would allow beekeepers to take early preventive act
Externí odkaz:
http://arxiv.org/abs/2402.01902
The prevalence of location tracking systems has resulted in large volumes of spatiotemporal data generated every day. Addressing reachability queries on such datasets is important for a wide range of applications (surveillance, public health, social
Externí odkaz:
http://arxiv.org/abs/2105.08312
In many Big Data applications today, information needs to be actively shared between systems managed by different organizations. To enable sharing Big Data at scale, developers would have to create dedicated server programs and glue together multiple
Externí odkaz:
http://arxiv.org/abs/2101.01852
Query Optimization remains an open problem for Big Data Management Systems. Traditional optimizers are cost-based and use statistical estimates of intermediate result cardinalities to assign costs and pick the best plan. However, such estimates tend
Externí odkaz:
http://arxiv.org/abs/2010.00728
Today, data is being actively generated by a variety of devices, services, and applications. Such data is important not only for the information that it contains, but also for its relationships to other data and to interested users. Most existing Big
Externí odkaz:
http://arxiv.org/abs/2009.04611
Virtually all of today's Big Data systems are passive in nature, responding to queries posted by their users. Instead, we are working to shift Big Data platforms from passive to active. In our view, a Big Active Data (BAD) system should continuously
Externí odkaz:
http://arxiv.org/abs/2002.09755
Autor:
Carman Jr., E. Preston, Westmann, Till, Borkar, Vinayak R., Carey, Michael J., Tsotras, Vassilis J.
The wide use of XML for document management and data exchange has created the need to query large repositories of XML data. To efficiently query such large data collections and take advantage of parallelism, we have implemented Apache VXQuery, an ope
Externí odkaz:
http://arxiv.org/abs/1504.00331
Autor:
Alsubaiee, Sattam, Altowim, Yasser, Altwaijry, Hotham, Behm, Alexander, Borkar, Vinayak, Bu, Yingyi, Carey, Michael, Cetindil, Inci, Cheelangi, Madhusudan, Faraaz, Khurram, Gabrielova, Eugenia, Grover, Raman, Heilbron, Zachary, Kim, Young-Seok, Li, Chen, Li, Guangqiang, Ok, Ji Mahn, Onose, Nicola, Pirzadeh, Pouria, Tsotras, Vassilis, Vernica, Rares, Wen, Jian, Westmann, Till
AsterixDB is a new, full-function BDMS (Big Data Management System) with a feature set that distinguishes it from other platforms in today's open source Big Data ecosystem. Its features make it well-suited to applications like web data warehousing, s
Externí odkaz:
http://arxiv.org/abs/1407.0454
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