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Patient Generated Health Data
Dipesh Kadariya, Revathy Venkataramanan, Hong Yung Yip, Maninder Kalra, Thirunarayan Krishnaprasad, Amit Sheth. kBot: Knowledge-enabled Personalized Chatbot for Asthma Self-Management. In 5th IEEE International Coference on Smart Computing (SMARTCOMP 2019). Washington DC: IEEE; 2019.  (278.92 KB)
patients privacy
Moein Enayati, Tanvi Banerjee, Mihail Popescu, Marjorie Skubic, Marilyn Rantz. A novel web-based depth video rewind approach toward fall preventive interventions in hospitals. 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Chicago, IL: IEEE; 2014. p. 4511 - 4514.
Pattern Discovery in RDF grpahs
William Milnor, Matthew Perry, Cartic Ramakrishnan, Amit Sheth. Discovering Informative Connection Subgraphs in Multi-Relational Graphs. Special Issue: Link Mining, SIGKDD Exploration, 7 (no. 2). SIGKDD Exploration; 2005 ;:56-63.  (1.77 MB)
pattern recognition and graphics
Guozhu Dong, Jianwen Su. Incremental Computation of Queries. 2009 ;.
Thomas Wischgoll, Joerg Meyer. Locating Closed Hyperstreamlines in Second Order Tensor Fields. In Visualization and Processing of Tensor Fields. Berlin: Springer Berlin Heidelberg; 2006. p. 257-267.
Pattern-Based extraction
Wenbo Wang, Christopher Thomas, Amit Sheth, Victor Chan. Pattern-Based Synonym and Antonym Extraction. In 48th ACM Southeast Conference. Oxford, Mississippi; 2010.  (98.05 KB)
Pediatric Asthma Management
Dipesh Kadariya, Revathy Venkataramanan, Hong Yung Yip, Maninder Kalra, Thirunarayan Krishnaprasad, Amit Sheth. kBot: Knowledge-enabled Personalized Chatbot for Asthma Self-Management. In 5th IEEE International Coference on Smart Computing (SMARTCOMP 2019). Washington DC: IEEE; 2019.  (278.92 KB)
Pediatrics
Utkarshani Jaimini. PhD Forum: Multimodal IoT and EMR Based Smart Health Application for Asthma Management in Children. In 2017 IEEE International Conference on Smart Computing (SMARTCOMP). Hong Kong, China: IEEE; 2017.  (119.37 KB)
peer to peer and Web services Discovery and Decentralized UDDI
Kunal Verma, Amit Sheth, Kaarthik Sivashanmugam. Discovery of Web Services in a Federated Registry Environment. 2004.  (308.34 KB)
Peer-to-Peer Network
Maciej Janik, Cartic Ramakrishnan, Matthew Perry, Ismailcem Budak Arpinar, Conrad Ibanez, Amit Sheth. Peer-to-Peer Discovery of Semantic Associations. In 2nd International Workshop on Peer-to-Peer Knowledge Management (P2PKM 2005); 2005.  (218.25 KB)
peer-to-peer system
Raghava Mutharaju, Pascal Hitzler, Prabhaker Mateti. Distributed OWL EL Reasoning: The Story So Far. Thomas Liebig, Achille Fokoue. 10th International Workshop on Scalable Semantic Web Knowledge Base Systems. Riva del Garda, Italy: CEUR; 2014. p. 61-76.  (437.93 KB)
people behaviors
Wenbo Wang, Lu Chen, Krishnaprasad Thirunarayan, Amit Sheth. Harnessing Twitter ‘Big Data’ for Automatic Emotion Identification. 2012 International Conference on Social Computing (SocialCom). Amsterdam, The Netherlands: IEEE; 2012. p. 587-592.  (156.44 KB)
people emotions
Wenbo Wang, Lu Chen, Krishnaprasad Thirunarayan, Amit Sheth. Harnessing Twitter ‘Big Data’ for Automatic Emotion Identification. 2012 International Conference on Social Computing (SocialCom). Amsterdam, The Netherlands: IEEE; 2012. p. 587-592.  (156.44 KB)
People-Content-Network Analysis
Amit Sheth, Hemant Purohit, Gary Alan Smith, Jeremy Brunn, Ashutosh Jadhav, Pavan Kapanipathi, Chen Lu, Wenbo Wang. Twitris: A System for Collective Social Intelligence. In: Reda Alhajj, Jon Rokne. Encyclopedia of Social Network Analysis and Mining. 2nd ed. New York: Springer-Verlag New York; 2018. p. 1-23.  (1.18 MB)
Amit Sheth, Ashutosh Jadhav, Pavan Kapanipathi, Chen Lu, Hemant Purohit, Gary Alan Smith, Wenbo Wang. Twitris: A System for Collective Social Intelligence. In: Reda Alhajj, Jon Rokne. Encyclopedia of Social Network Analysis and Mining. 1st ed. New York: Springer-Verlag New York; 2014. p. 2240-2253.  (2.21 MB)
Hemant Purohit. Mining Behavior of Citizen Sensor Communities to Improve Cooperation with Organizational Actors. Department of Computer Science and Engineering. [Dayton]: Wright State University; 2015. p. 154.  (6.65 MB)
Performance analysis studies of distributed database systems in the past have assumed that the message transmission time between any two nodes of a network is constant. They disregard the effect of communication network parameters such as network traffic
M. Liu, Amit Sheth, A. Singhal. An Analysis of the Effect of Network Parameters on the Performance of Distributed Database Systems. 1985 ;.
personalization
Pavan Kapanipathi, Prateek Jain, Chitra Venkataramani, Amit Sheth. User Interests Identification on Twitter Using a Hierarchical Knowledge Base. Valentina Presutti, Milan Stankovic, Erik Cambria, Iván Cantador, Angelo DiLorio, Tommaso DiNoia, Christoph Lange, Diego Reforgiato-Recupero, Anna Tordai. 11th Extended Semantic Web Conference (ESWC 2014). Crete, Greece: Springer International Publishing; 2014. p. 99-113.  (961.33 KB)
Wonjung Kim. Knowledge Based Personalization. 2001.  (1007.83 KB)
Pramod Anantharam, Tanvi Banerjee, Amit Sheth, Krishnaprasad Thirunarayan, Surendra Marupudi, Vaikunth Sridharan, Shalini Forbis. Knowledge-driven Personalized Contextual mHealth Service for Asthma Management in Children. 2015 IEEE International Conference on Mobile Services. New York, NY: IEEE; 2015. p. 284 - 291.  (1.31 MB)
Hamid R. Motahar Nezhad, Kalpa Gunaratna, Juan Cappi. eAssistant: Cognitive Assistance for Identification and Auto-Triage of Actionable Conversations. In 26th International World Wide Web Conference (WWW 2017). Perth, Australia; 2017.  (1.42 MB)
Pavan Kapanipathi, Prateek Jain, Chitra Venkataramani, Amit Sheth. Hierarchical Interest Graph from Tweets. Kyuseok Shim, Torsten Suel. 3rd International World Wide Web Conference. Seoul, South Korea: ACM; 2014.  (248.6 KB)
Personalized chatbot
Dipesh Kadariya, Revathy Venkataramanan, Hong Yung Yip, Maninder Kalra, Thirunarayan Krishnaprasad, Amit Sheth. kBot: Knowledge-enabled Personalized Chatbot for Asthma Self-Management. In 5th IEEE International Coference on Smart Computing (SMARTCOMP 2019). Washington DC: IEEE; 2019.  (278.92 KB)

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