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Cloud computing has revolutionized the way computing and software services are delivered to the clients on demand. It offers users the ability to connect to computing resources and access IT managed services with a previously unknown level of ease. Due to this greater level of flexibility, the cloud has become the breeding ground of a new generation of(More)
Phase 4: Hierarchical Clustering on Probability Graph  Similarity measure: puv values from 3 rd phase  Linkage Criterion: UPGMA Phase 3: Computing the Probabilities  Given an interaction graph, GI(V, E, W), and a group interaction graph, GGI(V, Eˊ, Wˊ), we construct a probability graph GP(V, EUEˊ, P), where each weight puv ε P represents probability(More)
With the increasing use of mobile devices, now it is possible to collect different data about the day-to-day activities of personal life of the user. Call Detail Record (CDR) is the available dataset at large-scale, as they are already constantly collected by the mobile operator mostly for billing purpose. By examining this data it is possible to analyze(More)
Existing community detection techniques either rely on content analysis or only consider the underlying structure of the social network graph, while identifying communities in online social networks (OSNs). As a result, these approaches fail to identify active communities, i.e., communities based on actual interactions rather than mere friendship. To(More)
Integrating frequent pattern mining with interactive visualization for temporal event sequence analysis poses many interesting research questions and challenges. We review and reflect on some of these challenges based on our experiences working on event sequence data from two domains: web analytics and application logs. These challenges can be organized(More)
Content assessment of posts before broadcasting them in social media has become crucial for many social media users. Primary reasons include online reputation management, avoiding awkwardness in social media, preventing cyber-bullying, preventing unintentional false news propagation. We observe that, such content assessment of a proposed post requires human(More)
In this paper, we model the community question answering (CQA) websites on Stack Exchange platform as knowledge markets, and analyze how and why these markets can fail at scale. Analyzing CQA websites as markets allows site operators to reason about the failures in knowledge markets, and design policies to prevent these failures. Our main contribution is to(More)