Collaborative scientific data visualization
نویسندگان
چکیده
منابع مشابه
Collaborative Scientific Data Visualization
We have designed a collaborative scientific visualization package that will aid researchers from distant, diverse locations to work together in developing scientific codes, providing them with a system to analyze their scientific data. We have utilized Java to develop this infrastructure. Two important areas which we have concentrated on developing are 1) a collaborative framework from which th...
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In this paper we focus on two aspects: (1)the application of grid technology to allow a group of geographically disperse users to accomplish a given task collaboratively; (2) distributed scientific visualization through grid. Henceforth, we firstly describe some collaborative environments. Then, visualization techniques that can be implemented in grids are focused. These techniques can be integ...
متن کاملImproving Usability of Collaborative Scientific Visualization Systems
This paper presents the key features of a collaborative visualization system. It discusses the main challenges of remote collaboration in the case of scientific visualization and presents our solutions. Our system provides a group of geographically distributed scientists the means of sharing their data, of interactively creating visualizations, and of analyzing them. This allows for shorter tur...
متن کاملVisualization of Collaborative Data
Collaborative data consist of ratings relating two distinct sets of objects: users and items. Much of the work with such data focuses on filtering: predicting unknown ratings for pairs of users and items. In this paper we focus on the problem of visualizing the information. Given all of the ratings, our task is to embed all of the users and items as points in the same Euclidean space. We would ...
متن کاملData Visualization Via Collaborative Filtering
Collaborative Filtering (CF) is the most successful approach to Recommender Systems (RS). In this paper, we suggest methods for global and personalized visualization of CF data. Users and items are first embedded into a high-dimensional latent feature space according to a predictor function particularly designated to conform with visualization requirements. The data is then projected into 2-dim...
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ژورنال
عنوان ژورنال: Concurrency: Practice and Experience
سال: 1997
ISSN: 1040-3108,1096-9128
DOI: 10.1002/(sici)1096-9128(199711)9:11<1249::aid-cpe338>3.0.co;2-k