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visualization
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.
The Semantic Web - ISWC 2009. 2009.  (0 bytes)
visualization technique
Zohreh Alavi, Sagar Sharma, Lu Zhou, Keke Chen. Scalable Euclidean Embedding for Big Data. 2015 IEEE 8th International Conference on Cloud Computing. New York City, NY: IEEE; 2015. p. 773 - 780.
visualization techniques
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.
Vocabularies
Manas Gaur, Saeedeh Shekarpour, Amelie Gyrard, Amit Sheth. empathi: An ontology for Emergency Managing and Planning about Hazard Crisis. In 13th IEEE International Conference on Semantic Computing. Newport Beach, California: IEEE; 2019.  (519.08 KB)
Voting Theory
Daniel Gruhl, Meenakshi Nagarajan, Jan Pieper, Christine Robson, Amit Sheth. Multimodal Social Intelligence in a Real-Time Dashboard System. VLDB Journal Special Issue on Data Management and Mining for Social Networks and Social Media. Springer; 2010 ;.  (1007.63 KB)
Water resources
Amit Sheth, Biplav Srivastava, Michahelles F. IoT-Enhanced Human Experience. IEEE Internet Computing. IEEE; 2018 ;22(1):4-7.  (230.68 KB)
we describe iVIBRATE &#161 an interactive-visualization based three-phase framework for clustering large datasets. The two main components of iVIBRATE are its VISTA visual cluster rendering subsystem
Keke Chen, Ling Liu. iVIBRATE: Interactive Visualization Based Framework for Clustering Large Datasets. 2006 ;.  (0 bytes)
we integrate gene and pathway information and show how three complex biological queries can be answered by the integrated knowledge base.
Satya Sahoo, Olivier Bodenreider, Joni Rutter, Karen Skinner, Amit Sheth. An Ontology-Driven Semantic Mashup of Gene and Biological Pathway Information: Application to the Domain of Nicotine Dependence. 2008 ;.
we present a brief discussion on the various contributions of METEOR-S including SAWSDL
Ajith Ranabahu, Amit Sheth, Karthik Gomadam. Semantics enhanced Services: METEOR-S, SAWSDL and SA-REST. 2008 ;.  (0 bytes)
we propose a novel method to find a set of candidate optimal number Ks of clusters in transactional datasets. Concretely
Hua Yan, Keke Chen, Ling Liu. Determining the Best K for Clustering Transactional Datasets: A Coverage Density-based Approach. 2008 ;.  (536 KB)
we propose Transactional-cluster-modes Dissimilarity based on the concept of coverage density as an intuitive transactional inter-cluster dissimilarity measure. Based on the above measure
Hua Yan, Keke Chen, Ling Liu. Determining the Best K for Clustering Transactional Datasets: A Coverage Density-based Approach. 2008 ;.  (536 KB)
we proposed a Stochastic Petri Net based approach for modeling web service composition constructs and calculating the equivalent delay time of the composite web service. Four basic constructs: sequence
John Miller, Senthilanand Chandrasekaran, G Silver, Ismailcem Budak Arpinar, Amit Sheth. Performance Analysis and Simulation of Composite Web Services. 2003 ;.  (197.72 KB)
we study the entropy property between the clustering results of categorical data with different K number of clusters
Ling Liu, Keke Chen. Best K: the Critical Clustering Structures in Categorical Data. 2008 ;.  (0 bytes)
Wearable
Amit Sheth, Utkarshani Jaimini, Krishnaprasad Thirunarayan, Tanvi Banerjee. Augmented Personalized Health: How Smart Data with IoTs and AI is about to Change Healthcare. In 2017 IEEE 3rd International Forum on Research and Technologies for Society and Industry (RTSI 2017). Modena, Italy; 2017.  (389.45 KB)
Web
Peter Mika, Ramesh Jain, Amit Sheth. Ontologies Are Us: Emergent Semantics in Folksonomy Systems. In 2007.
Geetika T. Lakshmanan, Juliana Freire, Amit Sheth. Guest Editors' Introduction: Provenance in Web Applications. 2011 ;.  (1009.42 KB)
Peter Mika, Ramesh Jain, Amit Sheth. Chapter 5: Modeling and Aggregating Social Network Data. In 2007.
Peter Mika, Ramesh Jain, Amit Sheth. Chapter 9, Ontologies Are Us: Emergent Semantics in Folksonomy Systems. In 2007.
Paul Groth, Amelie Gyrard. Demo Track Chairs' Welcome and Organization. In Companion Proceedings of the The Web Conference 2018. Republic and Canton of Geneva, Switzerland: International World Wide Web Conferences Steering Committee; 2018. p. 123–125.  (816.54 KB)
Peter Mika, Ramesh Jain, Amit Sheth. Developing Social-Semantic Applications. In 2007.
Peter Mika, Ramesh Jain, Amit Sheth. Knowledge Representation on the Semantic Web. In 2007.
Peter Mika, Ramesh Jain, Amit Sheth. Chapter 4, Knowledge Representation on the Semantic Web. In 2007.  (0 bytes)
Peter Mika, Ramesh Jain, Amit Sheth. Chapter 6: Developing Social-Semantic Applications. In 2007.
Geetika T. Lakshmanan, Juliana Freire, Francisco Curbera, Amit Sheth. Guest Editors' Introduction: Provenance in Web Applications. IEEE Internet Computing. 2011 ;:17-21.
Web 3.
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)
Web based application
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.

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