research-article

Interactive analysis of big data

Authors:

Jeffrey Heer,

Sean KandelAuthors Info & Claims

XRDS: Crossroads, The ACM Magazine for Students, Volume 19, Issue 1

Pages 50 - 54

https://doi.org/10.1145/2331042.2331058

Published: 01 September 2012 Publication History

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Abstract

New user interfaces can transform how we work with big data, and raise exciting research problems that span human-computer interaction, machine learning, and distributed systems.

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Ullah MRahman N(2022)Emerging Tools and Technologies in Data ScienceEncyclopedia of Data Science and Machine Learning10.4018/978-1-7998-9220-5.ch099(1652-1666)Online publication date: 14-Oct-2022
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Hurley APeters RPappas CSteger DHeinrich I(2022)Addressing the need for interactive, efficient, and reproducible data processing in ecology with the datacleanr R packagePLOS ONE10.1371/journal.pone.026842617:5(e0268426)Online publication date: 12-May-2022
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Tanwar GNadaf IManami AGowda VShenoy G(2022)Memory Characterization Of Big Data Applications2022 IEEE North Karnataka Subsection Flagship International Conference (NKCon)10.1109/NKCon56289.2022.10126963(1-9)Online publication date: 20-Nov-2022
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Index Terms

Interactive analysis of big data
1. Computing methodologies
  1. Computer graphics
    1. Image manipulation
    2. Rendering
2. Information systems
  1. Information retrieval
  2. Information systems applications

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cover image XRDS: Crossroads, The ACM Magazine for Students

XRDS: Crossroads, The ACM Magazine for Students Volume 19, Issue 1

Big Data

Fall 2012

75 pages

ISSN:1528-4972

EISSN:1528-4980

DOI:10.1145/2331042

Issue’s Table of Contents

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 01 September 2012

Published in XRDS Volume 19, Issue 1

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https://doi.org/10.4018/978-1-7998-9220-5.ch099
Hurley APeters RPappas CSteger DHeinrich I(2022)Addressing the need for interactive, efficient, and reproducible data processing in ecology with the datacleanr R packagePLOS ONE10.1371/journal.pone.026842617:5(e0268426)Online publication date: 12-May-2022
https://doi.org/10.1371/journal.pone.0268426
Tanwar GNadaf IManami AGowda VShenoy G(2022)Memory Characterization Of Big Data Applications2022 IEEE North Karnataka Subsection Flagship International Conference (NKCon)10.1109/NKCon56289.2022.10126963(1-9)Online publication date: 20-Nov-2022
https://doi.org/10.1109/NKCon56289.2022.10126963
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Po LBikakis NDesimoni FPapastefanatos G(2020)Linked Data Visualization: Techniques, Tools, and Big DataSynthesis Lectures on the Semantic Web: Theory and Technology10.2200/S00967ED1V01Y201911WBE01910:1(1-157)Online publication date: 18-Mar-2020
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Barba-González CNebro ABenítez-Hidalgo AGarcía-Nieto JAldana-Montes J(2020)On the design of a framework integrating an optimization engine with streaming technologiesFuture Generation Computer Systems10.1016/j.future.2020.02.020107:C(538-550)Online publication date: 1-Jun-2020
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