review-article

New Research Directions in Knowledge Discovery and Allied Spheres

Authors:

Fabian M. Suchanek,

Aparna S. VardeAuthors Info & Claims

ACM SIGKDD Explorations Newsletter, Volume 16, Issue 2

Pages 46 - 49

https://doi.org/10.1145/2783702.2783708

Published: 21 May 2015 Publication History

Abstract

The realm of knowledge discovery extends across several allied spheres today. It encompasses database management areas such as data warehousing and schema versioning; information retrieval areas such as Web semantics and topic detection; and core data mining areas, e.g., knowledge based systems, uncertainty management, and time-series mining. This becomes particularly evident in the topics that Ph.D. students choose for their dissertation. As the grass roots of research, Ph.D. dissertations point out new avenues of research, and provide fresh viewpoints on combinations of known fields. In this article we overview some recently proposed developments in the domain of knowledge discovery and its related spheres. Our article is based on the topics presented at the doctoral workshop of the ACM Conference on Information and Knowledge Management, CIKM 2011.

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Cited By

Razzaq Malik KAhmad TFarhan MUllah FAmjad KKhalid S(2019)Multiagent Semantical Annotation Enhancement Model for IoT-Based Energy-Aware DataInternational Journal of Distributed Sensor Networks10.1155/2016/91032652016(10)Online publication date: 24-Nov-2019
https://dl.acm.org/doi/10.1155/2016/9103265
Bhagat PVarde AFeldman A(2019)WordPrep: Word-based Preposition Prediction Tool2019 IEEE International Conference on Big Data (Big Data)10.1109/BigData47090.2019.9005608(2169-2176)Online publication date: Dec-2019
https://doi.org/10.1109/BigData47090.2019.9005608

Index Terms

New Research Directions in Knowledge Discovery and Allied Spheres

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Information & Contributors

Information

Published In

cover image ACM SIGKDD Explorations Newsletter

ACM SIGKDD Explorations Newsletter Volume 16, Issue 2

December 2014

49 pages

ISSN:1931-0145

EISSN:1931-0153

DOI:10.1145/2783702

Editors:
Charu Aggarwal
IBM T.J. Watson
,
Haixun Wang
Google
,
Ankur M. Teredesai
University of Washington Tacoma
,
Hanghang Tong
Arizona State University

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Copyright © 2015 Authors.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 May 2015

Published in SIGKDD Volume 16, Issue 2

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Cited By

Razzaq Malik KAhmad TFarhan MUllah FAmjad KKhalid S(2019)Multiagent Semantical Annotation Enhancement Model for IoT-Based Energy-Aware DataInternational Journal of Distributed Sensor Networks10.1155/2016/91032652016(10)Online publication date: 24-Nov-2019
https://dl.acm.org/doi/10.1155/2016/9103265
Bhagat PVarde AFeldman A(2019)WordPrep: Word-based Preposition Prediction Tool2019 IEEE International Conference on Big Data (Big Data)10.1109/BigData47090.2019.9005608(2169-2176)Online publication date: Dec-2019
https://doi.org/10.1109/BigData47090.2019.9005608

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