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Towards Interactive Data Exploration [chapter]

Carsten Binnig, Fuat Basık, Benedetto Buratti, Ugur Cetintemel, Yeounoh Chung, Andrew Crotty, Cyrus Cousins, Dylan Ebert, Philipp Eichmann, Alex Galakatos, Benjamin Hättasch, Amir Ilkhechi (+10 others)
2019 Lecture Notes in Business Information Processing  
interactive data exploration.  ...  Finally, we discuss other important considerations for interactive data exploration systems including benchmarking, natural language interfaces, as well as interactive machine learning.  ...  In summary, in this paper we make the case for a new bread of systems for interactive data exploration and present the results of our own implementation called IDEA (Interactive Data Exploration Accelerator  ... 
doi:10.1007/978-3-030-24124-7_11 fatcat:ixxjchbhe5awrlcjvr5kocqgmq

Towards effective and interpretable data mining by visual interaction

Charu C. Aggarwal
2002 SIGKDD Explorations  
doi:10.1145/507515.507518 fatcat:kc66f7stpbg57p4dzgvzclbhqq

Exploring sources of variation in human behavioral data: Towards automatic audio-visual emotion recognition

Yelin Kim
2015 2015 International Conference on Affective Computing and Intelligent Interaction (ACII)  
My PhD work aims at developing computational methodologies for automatic emotion recognition from audiovisual behavioral data.  ...  A main challenge in automatic emotion recognition is that human behavioral data are highly complex, due to multiple sources that vary and modulate behaviors.  ...  My future work will explore automatic identification methods of emotionally salient segments embedded in audiovisual data.  ... 
doi:10.1109/acii.2015.7344653 dblp:conf/acii/Kim15 fatcat:xyreaz6itbhzzhdiexy3oat7la

Towards anytime active learning

Maria E. Ramirez-Loaiza, Aron Culotta, Mustafa Bilgic
2013 Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics - IDEA '13  
Many active learning methods use annotation cost or expert quality as part of their framework to select the best data for annotation.  ...  These approaches explore the candidates in C by only searching at the fixed size column x k i and selecting the best from that column.  ...  The precise value of this tradeoff is unsurprisingly data dependent. RQ3.  ... 
doi:10.1145/2501511.2501524 dblp:conf/kdd/Ramirez-LoaizaC13 fatcat:nvcanpnmynb7vivyc65rd6qpt4

Towards Exploring Interactive Relationship between Clusters and Outliers in Multi-Dimensional Data Analysis

Yong Shi, Aidong Zhang
21st International Conference on Data Engineering (ICDE'05)  
This data processing algorithm can be applied in many fields such as pattern recognition, data clustering and signal processing. Experimental results demonstrate the advantages of our approach.  ...  Thus, it is necessary to treat clusters and outliers as concepts of the same importance in data analysis.  ...  centroid of Cluster , p is any data point in Cluster , is the number of data points in , and ´Ô Ñ µ is the distance between p and Ñ .  ... 
doi:10.1109/icde.2005.146 dblp:conf/icde/ShiZ05 fatcat:gqzonqm7z5fb7a6gmmom3vig7e

Towards Interactive Exploration of Images, Meta-Data, and Analytic Results in the Open Microscopy Environment

H. Hochheiser, I.G. Goldberg
2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05)  
The collection, management, and analysis of microscopy data present numerous informatics challenges.  ...  Appropriate user tools are needed to support acquisition, creation, analysis, annotation and interpretation of microscopy data.  ...  Conclusions and Future Work Biologists interested in interpreting data in a microscopy database will need flexible tools for interactive exploration.  ... 
doi:10.1109/csbw.2005.135 dblp:conf/csb/HochheiserG05 fatcat:vwnsqlgqwvfz7do7emixkep2u4

Competing Models: Inferring Exploration Patterns and Information Relevance via Bayesian Model Selection [article]

Shayan Monadjemi, Roman Garnett, Alvitta Ottley
2020 arXiv   pre-print
Analyzing interaction data provides an opportunity to learn about users, uncover their underlying goals, and create intelligent visualization systems.  ...  We validate our technique's ability to infer exploration bias, predict future interactions, and summarize an analytic session using user study datasets.  ...  ACKNOWLEDGMENTS The authors wish to thank Sunwoo Ha for assisting in data preparation. Lane Harrison, Mi Feng, and Adam Kern for sharing their data.  ... 
arXiv:2009.06042v1 fatcat:dyzg3n7fpvdkpgkwcj2isz7y6a

Multimodal interaction for data visualization

Bongshin Lee, Arjun Srinivasan, John Stasko, Melanie Tory, Vidya Setlur
2018 Proceedings of the 2018 International Conference on Advanced Visual Interfaces - AVI '18  
We aim to build a community of researchers focusing on multimodal interaction for data visualization, explore opportunities and challenges in our research, and establish an agenda for multimodal interaction  ...  Multimodal interaction offers many potential benefits for data visualization.  ...  Two DEXIS (Visual Data Exploration on Interactive Surfaces) workshops -DEXIS 2011 and 2015, explored the research space on how to leverage interactive tabletops and surfaces for data visualization.  ... 
doi:10.1145/3206505.3206602 dblp:conf/avi/LeeSSTS18 fatcat:tfgmhyyozzc3vle4mzg3oqd3w4

Overview of Data Exploration Techniques

Stratos Idreos, Olga Papaemmanouil, Surajit Chaudhuri
2015 Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data - SIGMOD '15  
We discuss new ideas on how to store and access data as well as new ideas on how to interact with a data system to enable users and applications to quickly figure out which data parts are of interest.  ...  Data exploration is about efficiently extracting knowledge from data even if we do not know exactly what we are looking for.  ...  Together, these pieces of work contribute towards providing data exploration capabilities that enable users to extract knowledge out of data with ease and efficiently. Tutorial Outline.  ... 
doi:10.1145/2723372.2731084 dblp:conf/sigmod/IdreosPC15 fatcat:tmltgcgwgbcezffqzqljeu5wcy

Perceiving Agent Collaborative Sonic Exploration In Interactive Reinforcement Learning

Hugo Scurto, Frédéric Bevilacqua, Baptiste Caramiaux
2018 Proceedings of the SMC Conferences  
In this paper, we describe first steps toward such a feedbackbased interactive learning system for exploration.  ...  The usefulness of balancing exploitation with exploration Synthetic trial data We first look at synthetic trial data to analyse agents' ability to reach a goal in a non-interactive setup.  ... 
doi:10.5281/zenodo.1422506 fatcat:fh6sfh5buvhwxfzba6yr65dwae

dbTouch in action database kernels for touch-based data exploration

Erietta Liarou, Stratos Idreos
2014 2014 IEEE 30th International Conference on Data Engineering  
A fundamental need in the era of data deluge is data exploration through interactive tools, i.e., being able to quickly determine data and patterns of interest. dbTouch is a new research direction towards  ...  a next generation of data management systems that inherently support data exploration by allowing touch-based interaction.  ...  SUMMARY In this paper, we present a demonstration of dbTouch [9] ; a new research direction towards touch based database kernels to ease interactive data exploration in the big data era.  ... 
doi:10.1109/icde.2014.6816756 dblp:conf/icde/LiarouI14 fatcat:5wswe2nw5ra7lmr3enkvegjqnu

EXCITE: EXploring Collaborative Interaction in Tracked Environments [chapter]

Nicolai Marquardt, Frederico Schardong, Anthony Tang
2015 Lecture Notes in Computer Science  
, or large displays; they may be studying something on a tablet before looking up or exploring data on a different display.  ...  We are interested in also exploring how spatial semantics (e.g. [8] ) can be integrated into textual queries of the data.  ... 
doi:10.1007/978-3-319-22668-2_8 fatcat:zhmm6agwprbdnggll56ehpxjl4

A cross-sectional study exploring attitudes of first year medical students towards psychiatry and factors they identified that would help stimulate their interest

Isabel Mark, Victoria Fernandez Garcia De Las Heras
2021 BJPsych Open  
perspective, (c) exploring the interaction between psychiatry and specialities and (d) having an opportunity to develop communication skills.ConclusionThe findings demonstrate higher ATP-30 results than  ...  Data were collected in November 2019 via an online questionnaire comprising of baseline demographics, the 30-item Attitudes Towards Psychiatry questionnaire (ATP-30) and a free-text question asking what  ...  perspective, (c) exploring the interaction between psychiatry and specialities and (d) having an opportunity to develop communication skills.  ... 
doi:10.1192/bjo.2021.412 fatcat:vk6knh6qtjgrjb33sgcadl3e5u


Barrett Ens, Aaron Quigley, Hui-Shyong Yeo, Pourang Irani, Thammathip Piumsomboon, Mark Billinghurst
2018 Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems - CHI '18  
Future work toward expanding the design space and exploration is discussed, along with plans toward evaluation of multi-scale gesture design.  ...  This paper presents ongoing work on a design exploration that interleaves microgestures with other types of gestures from the greater lexicon of gestures for computer interaction.  ...  Moreover, we are interested in moving toward productive AR applications, which may include entertainment, but also situated analytics of environmental sensor data, interaction with networks of smart objects  ... 
doi:10.1145/3170427.3188513 dblp:conf/chi/EnsQYIPB18 fatcat:ztjufrrrwnbwlnvct2i4v5suo4

The twitter explorer: a framework for observing Twitter through interactive networks [article]

Armin Pournaki, Felix Gaisbauer, Sven Banisch, Eckehard Olbrich
2020 arXiv   pre-print
We present an open-source interface for scientists to explore Twitter data through interactive network visualizations.  ...  Combining data collection, transformation and visualization in one easily accessible framework, the twitter explorer connects distant and close reading of Twitter data through the interactive exploration  ...  data and saves the interactive networks. • The explorer interface allows users to interact with the networks and explore the underlying metadata of nodes and links.  ... 
arXiv:2003.03599v1 fatcat:knrbig4okjgqtaxfvkxdxtmhrm
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