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Results 11 - 20
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165
14-th IEEE International Conference on Peer-to-Peer Computing Dataset on Usage of a Live & VoD
"... Abstract—This paper presents a dataset of user statistics col-lected from a P2P multimedia service infrastructure that delivers both live and on-demand content in high quality to users via different platforms: PC/Mac, and set top boxes. The dataset covers a period of seven months starting from Octob ..."
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October 2011, exposing a total of over 94k system statistic reports from thou-sands of user devices at a fine granularity. Such rich data source is made available to fellow researchers to aid in developing better understanding of video delivery mechanisms, user behaviour, and programme popularity
Understanding Ancient Hominin Dispersals Using Artefactual Data: A Phylogeographic Analysis of
, 2009
"... Background: Reconstructing the dispersal patterns of extinct hominins remains a challenging but essential goal. One means of supplementing fossil evidence is to utilize archaeological evidence in the form of stone tools. Based on broad dating patterns, it has long been thought that the appearance of ..."
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analysis provides evidence that this pattern is robust, and the maximum parsimony tree is also shown to be statistically different from a tree constrained by stone raw materials. Conclusions/Significance: These results demonstrate that nested analyses of behavioural data, utilizing methods drawn from
Applying statistical analysis to understanding the dynamics of volcanic explosions
- Eds.), Statistics in Volcanology. Special Publication of IAVCEI, 1. Geological Society
, 2006
"... An erupting volcano is a complex system controlled by nonlinear dynamics and hence is difficult to model numerically. Statistical methods can be applied to explain behaviour or to aid the forecast-ing of future activity. The majority of previous studies have considered large-scale events: large expl ..."
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Cited by 2 (0 self)
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explosive or effusive eruptions, with intervening long periods of repose. This has severely limited the size of the datasets and hence the significance of statistical results. In previous cases a simple Poisson model was applied, but often more sophis-ticated analysis methods are necessary to model the data
Apolo: Making Sense of Large Network Data by Combining Rich User Interaction and Machine Learning
"... Extracting useful knowledge from large network datasets has become a fundamental challenge in many domains, from scientific literature to social networks and the web. We introduce Apolo, a system that uses a mixed-initiative approach— combining visualization, rich user interaction and machine learni ..."
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Cited by 27 (7 self)
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learning—to guide the user to incrementally and interactively explore large network data and make sense of it. Apolo engages the user in bottom-up sensemaking to gradually build up an understanding over time by starting small, rather than starting big and drilling down. Apolo also helps users find relevant
Dynamic Xml Dataset Based On Multi-Channel Bus Architecture for Multimedia Cloud M.Jayalalithaa
"... Abstract-A number of client server internet video streaming for live streaming has been an emerging technique in recent years. The behaviour of these popular systems has been extensively studied in several measurement projects. Due to the proprietary nature of these commercial systems, however, thes ..."
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, it is difficult to intuitively understand the observed properties without fully reverse-engineering the underlying systems. This project describes the network architecture of “dynamic xml dataset based on multi-channel bus architecture for multimedia cloud”, one of the largest production live streaming providers
Temporality in Link Prediction: Understanding Social Complexity
"... This article summarises experimental results that bring together two views in contemporary science: Bayesian analysis and link prediction, to enhance the current understanding of social network analysis (SNA), particularly in value creation through social connectedness – an important, and growing, d ..."
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Cited by 5 (0 self)
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prediction. We extracted information from the Pussokram online dating network dataset, and 9,939 cases of each class were formed. Logistic regression in the Weka data mining system was used to perform link prediction. Our results show that temporal metrics are an extremely valuable new contribution to link
Explorations of national culture and word-of-mouth referral behaviour in the purchase of industrial services in the United States and Japan
- Journal of Marketing
, 1998
"... In this study, the authors examine how national culture affects referral behavior for industrial services such as advertising, banking, and accounting. The authors collected data using interviews with managers of small- and medium-sized companies in the United States and Japan. The results show that ..."
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Cited by 20 (1 self)
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In this study, the authors examine how national culture affects referral behavior for industrial services such as advertising, banking, and accounting. The authors collected data using interviews with managers of small- and medium-sized companies in the United States and Japan. The results show
The Self-Defining Other – ESL Teachers Talk about their Students
"... Teacher talk about their students is a powerful way of understanding the unstated ways in which teacher identity and work is constructed. This paper draws on the work of Bakhtin, Hall and Pennycook in an analysis of the part played by student as self-defining other. Data is drawn from a series of un ..."
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Teacher talk about their students is a powerful way of understanding the unstated ways in which teacher identity and work is constructed. This paper draws on the work of Bakhtin, Hall and Pennycook in an analysis of the part played by student as self-defining other. Data is drawn from a series
Visualization of text document corpus
- Informatica
, 2005
"... Visualization is commonly used in data analysis to help the user in getting an initial idea about the raw data as well as visual representation of the regularities obtained in the analysis. In similar way, when we talk about automated text processing and the data consists of text documents, visualiz ..."
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Cited by 44 (8 self)
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Visualization is commonly used in data analysis to help the user in getting an initial idea about the raw data as well as visual representation of the regularities obtained in the analysis. In similar way, when we talk about automated text processing and the data consists of text documents
The importance of ‘memory’ in statistical models for animal feeding behaviour
- Behavioural Processes 67
, 2004
"... We investigate models for animal feeding behaviour, with the aim of improving understanding of how animals organise their behaviour in the short term. We consider three classes of model: latent Gaussian, hidden Markov and semi-Markov. Each can predict the typical `clustered ' feeding behaviour ..."
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Cited by 2 (1 self)
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dataset of cow feeding behaviour. We nd the semi-Markov model (longer-term memory) to have the best t to the data and the hidden Markov (lack of memory) model the worst. We argue that in view of eects of satiety on short-term feeding behaviour of animal species in general, biologically suitable models
Results 11 - 20
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165
