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Channeling the deluge: research challenges for big data and information systems

Authors:

Jure LeskovecAuthors Info & Claims

CIKM '13: Proceedings of the 22nd ACM international conference on Information & Knowledge Management

Pages 2537 - 2538

https://doi.org/10.1145/2505515.2525541

Published: 27 October 2013 Publication History

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Abstract

With massive amounts of data being generated and stored ubiquitously in every discipline and every aspect of our daily life, how to handle such big data poses many challenging issues to researchers in data and information systems. The participants of CIKM 2013 are active researchers on large scale data, information and knowledge management, from multiple disciplines, including database systems, data mining, information retrieval, human-computer interaction, and knowledge or information management.

As a group of experienced researchers in academia and industry, we will present at this panel our visions on what should be the challenging research issues in this promising research frontier and hope to attract heated discussions and debates from the audience. We expect panelists with diverse backgrounds raise different challenging research problems and exchange their views with each other and with the audience. A heated discussion may help young researchers understand the need for research in both industry and academia and invest their efforts on more important research issues and make impacts to the development of new principles, methodologies, and technologies.

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Mushaathoni M(2024)Workers’ Perceptions Regarding Approaches To Intercultural Communication In The Workplace: A Study In A South African UniversityJournal of Intercultural Communication10.36923/jicc.v24i1.325(174-188)Online publication date: 1-Mar-2024
https://doi.org/10.36923/jicc.v24i1.325
Tayebi ZAli SMurad TKhan IPatterson M(2024)PseAAC2Vec protein encoding for TCR protein sequence classificationComputers in Biology and Medicine10.1016/j.compbiomed.2024.107956170:COnline publication date: 25-Jun-2024
https://dl.acm.org/doi/10.1016/j.compbiomed.2024.107956
Dang DYu WChen CYan RZhang XZhu X(2020)Real-time detection and trend tracing of burst topics based on Negative Binomial Distribution on sparkIntelligent Data Analysis10.3233/IDA-19466324:4(925-940)Online publication date: 1-Jan-2020
https://dl.acm.org/doi/10.3233/IDA-194663
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Channeling the deluge: research challenges for big data and information systems
1. Information systems

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Published In

CIKM '13: Proceedings of the 22nd ACM international conference on Information & Knowledge Management

October 2013

2612 pages

ISBN:9781450322638

DOI:10.1145/2505515

General Chairs:
Qi He
LinkedIn, USA
,
Arun Iyengar
IBM T.J. Watson Research Center, USA
,
Program Chairs:
Wolfgang Nejdl
L3S Research Center, Germany
,
Jian Pei
Simon Fraser University, Canada
,
Rajeev Rastogi
Amazon, India

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 October 2013

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CIKM'13

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CIKM'13: 22nd ACM International Conference on Information and Knowledge Management

October 27 - November 1, 2013

California, San Francisco, USA

Acceptance Rates

CIKM '13 Paper Acceptance Rate 143 of 848 submissions, 17%;

Overall Acceptance Rate 1,861 of 8,427 submissions, 22%

Upcoming Conference

CIKM '25

Sponsor:
sigir
sigir

The 34th ACM International Conference on Information and Knowledge Management

November 10 - 14, 2025

Seoul , Republic of Korea

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Mushaathoni M(2024)Workers’ Perceptions Regarding Approaches To Intercultural Communication In The Workplace: A Study In A South African UniversityJournal of Intercultural Communication10.36923/jicc.v24i1.325(174-188)Online publication date: 1-Mar-2024
https://doi.org/10.36923/jicc.v24i1.325
Tayebi ZAli SMurad TKhan IPatterson M(2024)PseAAC2Vec protein encoding for TCR protein sequence classificationComputers in Biology and Medicine10.1016/j.compbiomed.2024.107956170:COnline publication date: 25-Jun-2024
https://dl.acm.org/doi/10.1016/j.compbiomed.2024.107956
Dang DYu WChen CYan RZhang XZhu X(2020)Real-time detection and trend tracing of burst topics based on Negative Binomial Distribution on sparkIntelligent Data Analysis10.3233/IDA-19466324:4(925-940)Online publication date: 1-Jan-2020
https://dl.acm.org/doi/10.3233/IDA-194663
Chen JWang ZLiang Q(2019)Bandwidth Allocation Based on Personality Traits on Smartphone Usage and Channel ConditionIEEE Access10.1109/ACCESS.2019.29102707(102832-102842)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2910270
Akter SWamba S(2016)Big data analytics in E-commerce: a systematic review and agenda for future researchElectronic Markets10.1007/s12525-016-0219-026:2(173-194)Online publication date: 16-Mar-2016
https://doi.org/10.1007/s12525-016-0219-0
(2015)Research on recommend system model for big data analysisControl, Mechatronics and Automation Technology10.1201/b19371-54(237-240)Online publication date: 30-Dec-2015
https://doi.org/10.1201/b19371-54
Jun WZhixiong H(2015)Research on In-Memory Computing Model and Data Analysis2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA)10.1109/ICICTA.2015.184(726-729)Online publication date: Jun-2015
https://doi.org/10.1109/ICICTA.2015.184
Williams NP. Ferdinand NCroft R(2014)Project management maturity in the age of big dataInternational Journal of Managing Projects in Business10.1108/IJMPB-01-2014-00017:2(311-317)Online publication date: 1-Apr-2014
https://doi.org/10.1108/IJMPB-01-2014-0001
Huang SLiu YDang D(2014)Burst topic discovery and trend tracing based on StormPhysica A: Statistical Mechanics and its Applications10.1016/j.physa.2014.08.059416(331-339)Online publication date: Dec-2014
https://doi.org/10.1016/j.physa.2014.08.059

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PABS 2015: 1st Workshop on Performance Analysis of Big Data Systems

WSDM'15 Workshop Summary / Scalable Data Analytics: Theory and Applications

Taming the Data Deluge to Unravel the Mysteries of the Universe

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