EventCube: Multi-dimensional search and mining of structured and text data

Fangbo Tao; Kin Hou Lei; Jiawei Han; Cheng Xiang Zhai; Xiao Cheng; Marina Danilevsky; Nihit Desai; Bolin Ding; Jing Ge; Heng Ji; Rucha Kanade; Anne Kao; Qi Li; Yanen Li; Cindy Xide Lin; Jialiu Liu; Nikunj Oza; Ashok Srivastava; Rod Tjoelker; Chi Wang; Duo Zhang; Bo Zhao

doi:10.1145/2487575.2487718

EventCube: Multi-dimensional search and mining of structured and text data

Fangbo Tao, Kin Hou Lei, Jiawei Han, Cheng Xiang Zhai, Xiao Cheng, Marina Danilevsky, Nihit Desai, Bolin Ding, Jing Ge, Heng Ji, Rucha Kanade, Anne Kao, Qi Li, Yanen Li, Cindy Xide Lin, Jialiu Liu, Nikunj Oza, Ashok Srivastava, Rod Tjoelker, Chi WangDuo Zhang, Bo Zhao

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

A large portion of real world data is either text or structured (e.g., relational) data. Moreover, such data objects are of-Ten linked together (e.g., structured specification of products linking with the corresponding product descriptions and customer comments). Even for text data such as news data, typed entities can be extracted with entity extraction tools. The EventCube project constructs TextCube and TopicCube from interconnected structured and text data (or from text data via entity extraction and dimension building), and performs multidimensional search and analysis on such datasets, in an informative, powerful, and user- friendly manner. This proposed EventCube demo will show the power of the system not only on the originally designed ASRS (Aviation Safety Report System) data sets, but also on news datasets collected from multiple news agencies, and academic datasets constructed from the DBLP and web data. The system has high potential to be extended in many powerful ways and serve as a general platform for search, OLAP (online analytical processing) and data mining on integrated text and structured data. After the system demo in the conference, the system will be put on the web for public access and evaluation.

Original language	English (US)
Title of host publication	KDD 2013 - 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Editors	Rajesh Parekh, Jingrui He, Dhillon S. Inderjit, Paul Bradley, Yehuda Koren, Rayid Ghani, Ted E. Senator, Robert L. Grossman, Ramasamy Uthurusamy
Publisher	Association for Computing Machinery
Pages	1494-1497
Number of pages	4
ISBN (Electronic)	9781450321747
DOIs	https://doi.org/10.1145/2487575.2487718
State	Published - Aug 11 2013
Event	19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2013 - Chicago, United States Duration: Aug 11 2013 → Aug 14 2013

Publication series

Name	Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Volume	Part F128815

Other

Other	19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2013
Country/Territory	United States
City	Chicago
Period	8/11/13 → 8/14/13

Keywords

Data cube system
Multidimensional data

ASJC Scopus subject areas

Software
Information Systems

Online availability

10.1145/2487575.2487718

Library availability

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Tao, F., Lei, K. H., Han, J., Zhai, C. X., Cheng, X., Danilevsky, M., Desai, N., Ding, B., Ge, J., Ji, H., Kanade, R., Kao, A., Li, Q., Li, Y., Lin, C. X., Liu, J., Oza, N., Srivastava, A., Tjoelker, R., ... Zhao, B. (2013). EventCube: Multi-dimensional search and mining of structured and text data. In R. Parekh, J. He, D. S. Inderjit, P. Bradley, Y. Koren, R. Ghani, T. E. Senator, R. L. Grossman, & R. Uthurusamy (Eds.), KDD 2013 - 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 1494-1497). Article 2487718 (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; Vol. Part F128815). Association for Computing Machinery. https://doi.org/10.1145/2487575.2487718

EventCube: Multi-dimensional search and mining of structured and text data. / Tao, Fangbo; Lei, Kin Hou; Han, Jiawei et al.
KDD 2013 - 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ed. / Rajesh Parekh; Jingrui He; Dhillon S. Inderjit; Paul Bradley; Yehuda Koren; Rayid Ghani; Ted E. Senator; Robert L. Grossman; Ramasamy Uthurusamy. Association for Computing Machinery, 2013. p. 1494-1497 2487718 (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; Vol. Part F128815).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Tao, F, Lei, KH, Han, J , Zhai, CX, Cheng, X, Danilevsky, M, Desai, N, Ding, B, Ge, J, Ji, H, Kanade, R, Kao, A, Li, Q, Li, Y, Lin, CX, Liu, J, Oza, N, Srivastava, A, Tjoelker, R, Wang, C, Zhang, D & Zhao, B 2013, EventCube: Multi-dimensional search and mining of structured and text data. in R Parekh, J He, DS Inderjit, P Bradley, Y Koren, R Ghani, TE Senator, RL Grossman & R Uthurusamy (eds), KDD 2013 - 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining., 2487718, Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, vol. Part F128815, Association for Computing Machinery, pp. 1494-1497, 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2013, Chicago, United States, 8/11/13. https://doi.org/10.1145/2487575.2487718

Tao F, Lei KH, Han J , Zhai CX, Cheng X, Danilevsky M et al. EventCube: Multi-dimensional search and mining of structured and text data. In Parekh R, He J, Inderjit DS, Bradley P, Koren Y, Ghani R, Senator TE, Grossman RL, Uthurusamy R, editors, KDD 2013 - 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery. 2013. p. 1494-1497. 2487718. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining). doi: 10.1145/2487575.2487718

Tao, Fangbo ; Lei, Kin Hou ; Han, Jiawei et al. / EventCube : Multi-dimensional search and mining of structured and text data. KDD 2013 - 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. editor / Rajesh Parekh ; Jingrui He ; Dhillon S. Inderjit ; Paul Bradley ; Yehuda Koren ; Rayid Ghani ; Ted E. Senator ; Robert L. Grossman ; Ramasamy Uthurusamy. Association for Computing Machinery, 2013. pp. 1494-1497 (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

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abstract = "A large portion of real world data is either text or structured (e.g., relational) data. Moreover, such data objects are of-Ten linked together (e.g., structured specification of products linking with the corresponding product descriptions and customer comments). Even for text data such as news data, typed entities can be extracted with entity extraction tools. The EventCube project constructs TextCube and TopicCube from interconnected structured and text data (or from text data via entity extraction and dimension building), and performs multidimensional search and analysis on such datasets, in an informative, powerful, and user- friendly manner. This proposed EventCube demo will show the power of the system not only on the originally designed ASRS (Aviation Safety Report System) data sets, but also on news datasets collected from multiple news agencies, and academic datasets constructed from the DBLP and web data. The system has high potential to be extended in many powerful ways and serve as a general platform for search, OLAP (online analytical processing) and data mining on integrated text and structured data. After the system demo in the conference, the system will be put on the web for public access and evaluation.",

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EventCube: Multi-dimensional search and mining of structured and text data

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