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检索条件"任意字段=ACM Workshop on Exploratory Search and Interactive Data Analytics, ESIDA 2017"

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Fourth workshop on exploratory search and interactive data analytics (esida) 26

Fourth Workshop on Exploratory Search and Interactive Data A...

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26th International Conference on Intelligent User Interfaces (IUI)

作者： Glowacka, Dorota Milios, Evangelos Soto, Axel Mokryn, Osnat Paulovich, Fernando Parra, Denis Univ Helsinki Dept Comp Sci Helsinki Finland Dalhousie Univ Fac Comp Sci Halifax NS Canada Univ Nacl Sur Dept Engn & Comp Sci Bahia Blanca Buenos Aires Argentina Consejo Nacl Invest Cient & Tecn Bahia Blanca Buenos Aires Argentina Univ Haifa Dept Informat Syst Haifa Israel Pontificia Univ Catolica Chile Santiago Chile

ISBN: (纸本)9781450380188

This is the fourth edition of the workshop on exploratory search and interactive data analytics (esida). This series of workshops emerged as a response to the growing interest in developing new methods and systems that allow users to interactively explore large volumes of data, such as documents, multimedia, or specialized collections, such as biomedical datasets. There are various approaches to supporting users in this interactive environment, ranging from developing new algorithms through visualization methods to analyzing users' search patterns. The overarching goal of esida is to bring together researchers working in areas that span across multiple facets of exploratory search and data analytics to discuss and outline research challenges for this novel area.

关键词： exploratory search interactive search data analytics personalisation

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esida 2017 - Proceedings of the 2017 acm workshop on exploratory search and interactive data analytics, co-located with IUI 2017

ESIDA 2017 - Proceedings of the 2017 ACM Workshop on Explora...

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acm workshop on exploratory search and interactive data analytics, esida 2017

ISBN: (纸本)9781450349031

The proceedings contain 12 papers. The topics discussed include: from search to discovery with visual exploration tools;a survey of definitions and models of exploratory search;visual exploration of large scatter plot matrices by pattern recommendation based on eye tracking;HiveRel: towards focused knowledge acquisition;VIQS: visual interactive exploration of query semantics;visual exploration and analysis of recommender histories: a web-based approach using WebGL;exploring and summarizing document collections with multiple coordinated views;personalization in the context of relevance-based visualization;visual exploration of network hostile behavior;music exploration by impression based interaction;EulerianGrapher: text visualisation at the level of character n-grams based on Eulerian graphs;exploring scientific literature search through topic models;and active learning with visualization for text data.

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Third workshop on exploratory search and interactive data analytics (esida) 19

Third Workshop on Exploratory Search and Interactive Data An...

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24th International Conference on Intelligent User Interfaces (IUI)

作者： Glowacka, Dorota Milios, Evalgelos Soto, Axel J. Paulovich, Fernando, V Parra, Denis Mokryn, Osnat Univ Helsinki Helsinki Finland Dalhousie Univ Halifax NS Canada UNS CONICET Bahia Blanca Buenos Aires Argentina PUC Chile Santiago Chile Univ Haifa Haifa Israel

ISBN: (纸本)9781450366731

This is the third edition of the workshop on exploratory search and interactive data analytics (esida). This series of workshops emerged as a response to the growing interest in developing new methods and systems that allow users to interactively explore large volumes of data, such as documents, multimedia or specialised collections, such as biomedical datasets. There are various approaches to supporting users in this interactive environment ranging from the development of new algorithms through visualisation methods to analysing users' search patterns. The overarching goal of esida is to bring together researchers working in areas that span across multiple facets of exploratory search and data analytics to discuss and outline research challenges for this novel area.

关键词： exploratory search interactive search data analytics personalisation

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Second workshop on exploratory search and interactive data analytics (esida)

Second workshop on exploratory search and interactive data a...

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2018 Joint acm IUI workshops, acmIUI-WS 2018

作者： Glowacka, Dorota Milios, Evangelos Soto, Axel J. Paulovich, Fernando V. Parra, Denis University of Edinburgh United Kingdom Dalhousie University Canada ICIC-CONICET United States PUC Chile Chile

This is the second edition of the workshop on exploratory search and interactive data analytics (esida). This series of workshops emerged as a response to the growing interest in developing new methods and systems that allow users to interactively explore large volumes of data, such as documents, multimedia or specialised collections, such as biomedical datasets. There are various approaches to supporting users in this interactive environment ranging from the development of new algorithms through visualisation methods to analysing users' search patterns. The overarching goal of esida is to bring together researchers working in areas that span across multiple facets of exploratory search and data analytics to discuss and outline research challenges for this novel area. © 2018 Copyright for the individual papers remains with the authors.

关键词： data analytics

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Preface: IUI workshop on exploratory search & interactive data analytics (esida)

ESIDA 2017 - Proceedings of the 2017 ACM Workshop on Explora...

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esida 2017 - Proceedings of the 2017 acm workshop on exploratory search and interactive data analytics, co-located with IUI 2017 2017年 iii页

作者： Glowacka, Dorota Milios, Evangelos Soto, Axel Paulovich, Fernando

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Exploring scientific literature search through topic models

Exploring scientific literature search through topic models

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acm workshop on exploratory search and interactive data analytics, esida 2017

作者： Sorkhei, Amin Ilves, Kalle Glowacka, Dorota Dept of Computer Science University of Helsinki Helsinki Finland

ISBN: (纸本)9781450349031

With the fast growing amount of scientific literature, browsing through it can be a difficult task: formulating a precise query may be problematic as new research areas emerge quickly and di?erent terms are often used to describe the same concept. To tackle some of these issues, we built a system for exploratory scientific search based on topic models. An initial short user study shows that through visualizing the relationship between keyphrases, documents and authors, the system allows the user to better explore the document search space compared to traditional systems based solely on search query. © 2017 acm.

关键词： exploratory search Topic models

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A survey of definitions & models of exploratory search

A survey of definitions & models of exploratory search

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acm workshop on exploratory search and interactive data analytics, esida 2017

作者： Palagi, Emilie Gandon, Fabien Troncy, Raphaël Giboin, Alain Inria - Sophia Antipolis 2004 Route des Lucioles BP93 Sophia Antipolis Cedex06902 France EURECOM 450 Route des chappes Sophia Antipolis Cedex06904 France

ISBN: (纸本)9781450349031

exploratory search has an unclear and open-ended definition. The complexity of the task and the difficulty of defining this activity are reflected in the limits of existing evaluation methods for exploratory search systems. In order to improve them, we intend to design an evaluation method based on a user-centered model of exploratory search. In this work, we identified and defined the characteristics of exploratory search and used them as an information seeking model evaluation grid. We tested this analytic grid on two information seeking models: Ellis' and Marchionini's models. The results show that Marchonini's model does not match our evaluation method's requirements whereas on the other hand Ellis' model could be adapted to better suit exploratory search. CCS Concepts H5.2 [Information interfaces and presentation]: User Interfaces - Ergonomics, User-centered design, Evaluation/methodology.

关键词： Ergonomics

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Music exploration by impression based interaction

Music exploration by impression based interaction

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acm workshop on exploratory search and interactive data analytics, esida 2017

作者： Fujino, Hiroki Hasida, Kôiti Matsubara, Yusuke Graduate School of Information Science and Technology University of Tokyo Hongo 7-3-1 Bunkyo-ku Tokyo113-8656 Japan

ISBN: (纸本)9781450349031

search and recommendation systems help users find their favorites among an abundant amount of songs available on distributors such as iTunes. Nevertheless, it is still hard for us to efficiently retrieve the right music. This paper pro- poses an interactive music exploration system to help them reach their favorite songs by means of interactive feedbacks submitted by the user. The recommendation component of our system is based on the feedback component accepts the user's feedbacks in terms of impression features such as "more ballad-like" and "less pop-like". The proposed concepts have been implemented as an online demonstration system using a real world dataset.

关键词： interactive systems design Music retrieval Personalization

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Active learning with visualization for text data

Active learning with visualization for text data

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acm workshop on exploratory search and interactive data analytics, esida 2017

作者： Huang, Lulu Matwin, Stan De Carvalho, Eder J. Minghim, Rosane Institute for Big Data Analytics 6050 University Avenue HalifaxNS United States Institute of Computer Science Polish Academy of Science Warsaw Poland University of Sao Paulo Sao Carlos Sao Paulo State of Sao Paulo Brazil ICMC University of Sao Paulo Sao Carlos Sao Paulo State of Sao Paulo Brazil

ISBN: (纸本)9781450349031

Labeled datasets are always limited, and oftentimes the quantity of labeled data is a bottleneck for data analytics. This especially affects supervised machine learning methods, which require labels for models to learn from the labeled data. Active learning algorithms have been proposed to help achieve good analytic models with limited labeling efforts, by determining which additional instance labels will be most beneficial for learning for a given model. Active learning is consistent with interactive analytics as it proceeds in a cycle in which the unlabeled data is automatically explored. However, in active learning users have no control of the instances to be labeled, and for text data, the annotation interface is usually document only. Both of these constraints seem to affect the performance of an active learning model. We hypothesize that visualization techniques, particularly interactive ones, will help to address these constraints. In this paper, we implement a pilot study of visualization in active learning for text classification, with an interactive labeling interface. We compare the results of three experiments. Early results indicate that visualization improves high-performance machine learning model building with an active learning algorithm. Copyright is held by the owner/author(s). Publication rights licensed to acm.

关键词： Visualization

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VIQS: Visual interactive exploration of query semantics

VIQS: Visual interactive exploration of query semantics

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acm workshop on exploratory search and interactive data analytics, esida 2017

作者： Christodoulakis, Christina Kandogan, Eser Terrizzano, Ignacio G Miller, Renée J University of Toronto Canada IBM Research Almaden United States

ISBN: (纸本)9781450349031

analytics platforms such as IBM's Watson analyticsTM are collecting metadata about their use, including user queries on uploaded datasets. The analysis of this metadata may be valuable in improving services, such as query recommendation and automatic data visualization. However, analysis of metadata is difficult not only in terms of scale but also in terms of complexity. Generalizing and exploring query patterns across users and datasets is challenging. Abstractions are likely to help bridge differences in specifics (e.g., column names and query details), particularly in semantics. For example, a single query, "What is the trend of sales over year?" could be abstracted in many different ways (e.g., "What is the trend of financial gain over time?"). In this paper, we describe our process of creating a dataset of query semantics, starting from initial metadata extraction from query logs to semantic expansion using WordNet. To help system designers effectively browse and understand patterns of use, we developed VIQS (Visual interactive Query Semantics), a system that extracts query semantics from query logs over multiple datasets, and allows users to explore underlying patterns visually. We present results from an informal interview study along with specific insights regarding popular query patterns from 3-months of data. We believe the analytic process, as well as the specific insights on query patterns, will benefit the design of analytics platforms. CCS Concepts •Human-centered computing ! Systems and tools for interaction design;Information visualization;. © 2017 acm.

关键词： Metadata

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