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CLOUD
2010
ACM
15 years 12 months ago
Comet: batched stream processing for data intensive distributed computing
Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, B...
ICDE
2010
IEEE
252views Database» more  ICDE 2010»
16 years 6 months ago
Semantic Ranking and Result Visualization for Life Sciences Publications
An ever-increasing amount of data and semantic knowledge in the domain of life sciences is bringing about new data management challenges. In this paper we focus on adding the seman...
Julia Stoyanovich, Kenneth A. Ross, William Mee
ICCS
2007
Springer
16 years 28 days ago
AIMSS: An Architecture for Data Driven Simulations in the Social Sciences
Abstract. This paper presents a prototype implementation of an intelligent assistance architecture for data-driven simulation specialising in qualitative data in the social science...
Catriona Kennedy, Georgios K. Theodoropoulos, Volk...
GROUP
2003
ACM
16 years 1 days ago
Data at work: supporting sharing in science and engineering
Data are a fundamental component of science and engineering work, and the ability to share data is critical to the validation and progress of science. Data sharing and reuse in so...
Jeremy P. Birnholtz, Matthew J. Bietz
BCSHCI
2008
15 years 8 months ago
Creating creative processes: a workshop demonstrating a methodological approach for subjects between the sciences and the arts
There is a lack of `explicit education' of different modes of creativity and different methodologies for initiating creative processes. This is important for not only art pra...
Carola Boehm