Výsledky vyhledávání - "Tanvir Al Amin"

ClariSense+: An enhanced traffic anomaly explanation service using social network feeds

Autor: Dong Wang, Jemin George, Tanvir Al Amin, Lance M. Kaplan, Raghu K. Ganti, Tarek Abdelzaher, Prasanna Giridhar

Publikováno v: Pervasive and Mobile Computing. 41:381-396

The explosive growth in social networks that publish real-time content begs the question of whether their feeds can complement traditional sensors to achieve augmented sensing capabilities. One such capability is to explain anomalous sensor readings.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d1e7dcb5485079bf626b1fb12fb1108
https://doi.org/10.1016/j.pmcj.2017.02.007

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FauxBuster: A Content-free Fauxtography Detector Using Social Media Comments

Autor: Daniel Yue Zhang, Shuyue Lai, Dong Wang, Biao Geng, Tanvir Al Amin, Ke Li, Lanyu Shang, Hongmin Zhu

Publikováno v: IEEE BigData

With the increasing popularity of online social media (e.g., Facebook, Twitter, Reddit), the detection of misleading content on social media has become a critical undertaking. This paper focuses on an important but largely unsolved problem: detecting

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d90f1e5a74b0c0269b7069d42f603aef
https://doi.org/10.1109/bigdata.2018.8622344

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Social Fusion: Integrating Twitter and Instagram for Event Monitoring

Autor: Lance M. Kaplan, Tarek Abdelzaher, Prasanna Giridhar, Tanvir Al Amin, Shiguang Wang

Publikováno v: ICAC

This paper describes the implementation of a service to identify and geo-locate real world events that may be present as social activity signals in two different social networks. Specifically, we focus on content shared by users on Twitter and Instag

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::57be8f8162f34ad53dda43db9f966a88
https://doi.org/10.1109/icac.2017.46

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Optimizing Source Selection in Social Sensing in the Presence of Influence Graphs

Autor: Shiguang Wang, Shen Li, Yiran Zhao, Tanvir Al Amin, Shuochao Yao, Tarek Abdelzaher, Huajie Shao, Lance M. Kaplan

Publikováno v: ICDCS

This paper addresses the problem of choosing the right sources to solicit data from in sensing applications involving broadcast channels, such as those crowdsensing applications where sources share their observations on social media. The goal is to s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1cb6ca9763a0f8c8a22f5370667d8585
https://doi.org/10.1109/icdcs.2017.275

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Stark: Optimizing In-Memory Computing for Dynamic Dataset Collections

Autor: Shanhao Hu, Tarek Abdelzaher, Raghu K. Ganti, Shen Li, Tanvir Al Amin, Mudhakar Srivatsa, Yiran Zhao

Publikováno v: ICDCS

Emerging distributed in-memory computing frameworks, such as Apache Spark, can process a huge amount of cached data within seconds. This remarkably high efficiency requires the system to well balance data across tasks and ensure data locality. Howeve

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0351b43788d168bfeef61a06f24daa61
https://doi.org/10.1109/icdcs.2017.143

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Decision-Driven Execution: A Distributed Resource Management Paradigm for the Age of IoT

Autor: Yiran Zhao, Jung-Eun Kim, William Dron, Tanvir Al Amin, Kelvin Marcus, Ramesh Govindan, Jongdeog Lee, Tarek Abdelzaher, Shaohan Hu, Amotz Bar-Noy, Shuochao Yao, Reginald L. Hobbs

Publikováno v: ICDCS

This paper introduces a novel paradigm for resource management in distributed systems, called decision-driven execution. The paradigm is appropriate for mission-driven systems, where the goal is to enable faster, leaner, and more effective decision m

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b072c9ab2f6fca221a9247b76f6de1de
https://doi.org/10.1109/icdcs.2017.318

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iApollo: A Newsfeed Summary Service on NDN

Autor: Daniel Xu, Jongdeog Lee, Tanvir Al Amin, Tarek Abdelzaher

Publikováno v: SECON

In this demo, we introduce the tweet-based newsfeed summary service, called iApollo, running on a named data network (NDN) stack. This novel application provides a customized newsfeed service to individual readers based on their interests. Data sampl

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7cce58fa0b9dced9e0512b64d107d9a9
https://doi.org/10.1109/sahcn.2017.7964950

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Espresso: A Data Naming Service for Self-Summarizing Transport

Autor: Tanvir Al Amin, Tarek Abdelzaher, Jongdeog Lee

Publikováno v: SECON

Recent work suggested that, in the age of data overload produced by sensors, social media, and IoT devices, a key new type of network transport protocols will be one that offers representative summaries of requested data, retrieved at a consumer-cont

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d354d7ee5ba7a787be77a3d4495e573a
https://doi.org/10.1109/sahcn.2017.7964914

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Information flow on social networks: from empirical data to situation understanding

Autor: Tarek Abdelzaher, Md. Tanvir Al Amin, Heather Roy, Elizabeth K. Bowman

Publikováno v: SPIE Proceedings.

This paper describes characteristics of information flow on social channels, as a function of content type and relations among individual sources, distilled from analysis of Twitter data as well as human subject survey results. The working hypothesis

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::93b20cd65d1a0b9d51aa0e9660696e9f
https://doi.org/10.1117/12.2266585

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